Rank #4 of 6 in MCP Infrastructure & Registries

Manufact

Name: Manufact
Author: Manufact (formerly mcp-use)

YC S25 Built-in AI assistant

Manufact (formerly mcp-use) · commercial

manufact.com ↗Try it →

PA Score23/100 AGENT-READY49/100 BUILT-IN AI35/100 API5/100

MCP✓CLI✓API~

npm 17.2k/wk

ArenasMCP Infrastructure & Registries#4/6

Access

Open app ↗CLI docs ↗MCP docs ↗

Install

npmnpm install -g @mcp-use/cli

Compare head-to-head

Alternatives to Manufact →

Try itExperimental

See what an agent can do with Manufact before you ever sign up. Pick a story: recorded sessions replay real probe-harness transcripts; commands tagged live-capable can re-run against the real endpoint from our edge, right now (▶ run live — the exact same request, live and recorded lines always labeled); the live MCP handshake runs real requests from our edge, right now — including, where the server allows it, one real read-only tool call (bring your own key for auth-gated servers); sandboxed self-drive sessions are designed and gated (docs/TRY-IT.md).

$curl -s https://docs.manufact.com/mcp.md | head -8recorded session — replayed, not live

▋

recorded 2026-09-10 · exit 0 · captured verbatim by our probe harness, secrets redacted · pure-HTTP probe — ▶ run live re-runs it from our edge

Verified integrations

No integration evidence found in our corpus for this product yet — that means none was found, never that it doesn’t integrate.

By theme — the product's score on each story themeBy theme

Agenticness — how well agents can access and operate the productAgenticnessevidence →

How well agents can access and operate the product

37.1/100

Auth credentials — stories about auth credentials in this arenaAuth credentialsevidence →

Stories about auth credentials in this arena

0.0/100

Automation depth — how much of the product can run unattendedAutomation depthevidence →

How much of the product can run unattended

6.0/100

Deployment self host — stories about deployment self host in this arenaDeployment self hostevidence →

Stories about deployment self host in this arena

80.0/100

Gateway controls — stories about gateway controls in this arenaGateway controlsevidence →

Stories about gateway controls in this arena

18.0/100

Hosted servers — stories about hosted servers in this arenaHosted serversevidence →

Stories about hosted servers in this arena

53.1/100

Observability analytics — stories about observability analytics in this arenaObservability analyticsevidence →

Stories about observability analytics in this arena

30.0/100

Openness — open source, data portability, and self-hosting storiesOpennessevidence →

Open source, data portability, and self-hosting stories

7.2/100

Pricing plans — plan structure and value — what each tier costs and what it unlocksPricing plansevidence →

Plan structure and value — what each tier costs and what it unlocks

12.0/100

Privacy posture — data-handling and privacy storiesPrivacy postureevidence →

Data-handling and privacy stories

0.0/100

Registry discovery — stories about registry discovery in this arenaRegistry discoveryevidence →

Stories about registry discovery in this arena

21.0/100

Sdk clients — stories about sdk clients in this arenaSdk clientsevidence →

Stories about sdk clients in this arena

18.0/100

Tool curation quality — stories about tool curation quality in this arenaTool curation qualityevidence →

Stories about tool curation quality in this arena

6.0/100

Story verdicts — every judged story with its evidenceStory verdicts

Sorted by importance (agentic first) (high → low) · 52/52 stories · click a row’s chevron for the rationale and evidence


Connect an agent via an official MCP server G Agent access	ai-native user	Agenticness — how well agents can access and operate the productAgenticness	3	full	8/10	T probed
Plug MCP servers into this product so it can use their tools G Agent access	ai-native user	Agenticness — how well agents can access and operate the productAgenticness	3	full	7/10	C claimed
Drive the product through a documented public API G Agent access	ai-native user	Agenticness — how well agents can access and operate the productAgenticness	3	partial	5/10	T probed
Delegate tasks to a built-in AI assistant inside the product G Agentic features	ai-native user	Agenticness — how well agents can access and operate the productAgenticness	3	partial	4/10	C claimed
Point an agent at llms.txt or agent-oriented docs G Agent access	ai-native user	Agenticness — how well agents can access and operate the productAgenticness	2	full	9/10	T probed
Operate the product with natural-language commands G Agentic features	ai-native user	Agenticness — how well agents can access and operate the productAgenticness	2	full	8/10	T probed
Use an official CLI G Agent access	ai-native user	Agenticness — how well agents can access and operate the productAgenticness	2	full	8/10	T probed
Run the product headlessly / in CI for automation G Agent access	ai-native user	Agenticness — how well agents can access and operate the productAgenticness	2	full	7/10	T probed
Set up automations that run autonomously in the background G Agentic features	ai-native user	Agenticness — how well agents can access and operate the productAgenticness	2	partial	4/10	C claimed
Get AI-generated insights and suggestions from my data inside the product G Agentic features	ai-native user	Agenticness — how well agents can access and operate the productAgenticness	2	partial	3/10	C claimed
Build against official SDKs G Agent access	ai-native user	Agenticness — how well agents can access and operate the productAgenticness	2	none	0/10
Download a machine-readable API spec (OpenAPI or equivalent) G Api quality	ai-native user	Agenticness — how well agents can access and operate the productAgenticness	2	none	0/10
Explore an interactive API reference with runnable examples G Api quality	ai-native user	Agenticness — how well agents can access and operate the productAgenticness	2	none	0/10
Issue scoped/least-privilege API credentials for an agent G Agent access	ai-native user	Agenticness — how well agents can access and operate the productAgenticness	2	none	0/10
Rely on versioned APIs with a documented deprecation policy G Api quality	ai-native user	Agenticness — how well agents can access and operate the productAgenticness	2	none	0/10
Subscribe to events via webhooks G Agent access	ai-native user	Agenticness — how well agents can access and operate the productAgenticness	2	none	untested		none yet
Test against a sandbox environment without touching production data G Api quality	ai-native user	Agenticness — how well agents can access and operate the productAgenticness	1	partial	6/10	C claimed
Point my MCP-compatible client at a hosted remote server URL and reach downstream tools without deploying any infrastructure C Connect	developer	Hosted servers — stories about hosted servers in this arenaHosted servers	3	full	8/10	C claimed
Query the platform's registry or catalog through a documented API to discover servers and tools programmatically C Api	ai agent	Registry discovery — stories about registry discovery in this arenaRegistry discovery	3	partial	5/10	T probed
Export all of my data in open formats and leave G	ai-native user	Openness — open source, data portability, and self-hosting storiesOpenness	3	none	0/10
Let the platform run OAuth flows for downstream tools and vault the resulting credentials encrypted, with automatic token refresh C Oauth	developer	Auth credentials — stories about auth credentials in this arenaAuth credentials	3	none	0/10
Maintain separate connected accounts and scoped tokens per end user of my product, so each user's agent acts only on that user's credentials C Multi tenant	platform-engineer	Auth credentials — stories about auth credentials in this arenaAuth credentials	3	none	0/10
Self-host the core product G	ai-native user	Openness — open source, data portability, and self-hosting storiesOpenness	3	none	0/10
Define rules that trigger actions automatically on events G	ai-native user	Automation depth — how much of the product can run unattendedAutomation depth	3	n/a	untested		none yet
Prevent my data from being used to train AI models G	ai-native user	Privacy posture — data-handling and privacy storiesPrivacy posture	3	n/a	untested		none yet
Reach a deep catalog of third-party apps and APIs (hundreds to thousands of integrations) through the platform C Catalog	developer	Hosted servers — stories about hosted servers in this arenaHosted servers	3	n/a	untested		none yet
Search and browse a large catalog of MCP servers and tools by capability before wiring anything into my agent C Search	developer	Registry discovery — stories about registry discovery in this arenaRegistry discovery	3	none	untested		none yet
Do everything through the API that I can do in the UI G	ai-native user	Openness — open source, data portability, and self-hosting storiesOpenness	2	partial	6/10	T probed
Drive the publish-and-deploy workflow from an official CLI — authenticate, stage or build a server, push it, and install it into agents C Cli	developer	Sdk clients — stories about sdk clients in this arenaSdk clients	2	partial	6/10	T probed
Exercise an MCP server's tools from a browser-based inspector or playground before integrating it C Playground	developer	Registry discovery — stories about registry discovery in this arenaRegistry discovery	2	partial	6/10	C claimed
Publish my own MCP server on the platform for distribution, discovery, and installation by others C Publish	developer	Hosted servers — stories about hosted servers in this arenaHosted servers	2	partial	6/10	C claimed
See a log of every tool call that passed through the platform, with enough detail to audit or replay what an agent did C Audit	platform-engineer	Gateway controls — stories about gateway controls in this arenaGateway controls	2	partial	6/10	C claimed
See usage analytics for the servers and tools my org consumes or publishes — call volumes, users, errors, and cost C Analytics	platform-engineer	Observability analytics — stories about observability analytics in this arenaObservability analytics	2	partial	5/10	X community
Turn an existing API definition (OpenAPI) or custom code into a hosted MCP server without writing protocol plumbing C Generate	developer	Hosted servers — stories about hosted servers in this arenaHosted servers	2	partial	5/10	T probed
Inspect a listed server's tools, input schemas, transport, and hosting attributes before connecting to it C Metadata	developer	Registry discovery — stories about registry discovery in this arenaRegistry discovery	2	partial	4/10	C claimed
Compare servers using published quality signals — usage counts, health or liveness checks, scores, or verification badges C Signals	developer	Tool curation quality — stories about tool curation quality in this arenaTool curation quality	2	partial	3/10	C claimed
See transparent pricing per tool call or connection plus documented rate limits before committing to the platform G Pricing	developer	Pricing plans — plan structure and value — what each tier costs and what it unlocksPricing plans	2	disputed	3/10	D contradicted
Perform bulk operations across many items at once G	ai-native user	Automation depth — how much of the product can run unattendedAutomation depth	2	none	0/10
Plug the platform's tools into major agent frameworks and SDKs (Vercel AI SDK, LangChain, CrewAI, OpenAI or Anthropic SDKs) with documented adapters C Frameworks	developer	Sdk clients — stories about sdk clients in this arenaSdk clients	2	none	0/10
Rely on the platform scanning or inspecting listed servers for malicious or vulnerable behavior before my agents use them C Security	platform-engineer	Tool curation quality — stories about tool curation quality in this arenaTool curation quality	2	none	0/10
Restrict which servers and individual tools an agent may call through allowlists or per-tool access control C Access control	platform-engineer	Gateway controls — stories about gateway controls in this arenaGateway controls	2	none	0/10
Schedule recurring jobs or workflows G	ai-native user	Automation depth — how much of the product can run unattendedAutomation depth	2	none	0/10
Choose where my data is stored (region/residency) G	ai-native user	Privacy posture — data-handling and privacy storiesPrivacy posture	2	none	untested		none yet
Control data retention and deletion G	ai-native user	Privacy posture — data-handling and privacy storiesPrivacy posture	2	none	untested		none yet
Opt out of telemetry and usage tracking G	ai-native user	Privacy posture — data-handling and privacy storiesPrivacy posture	2	none	untested		none yet
Read the product's source under an open license G	ai-native user	Openness — open source, data portability, and self-hosting storiesOpenness	2	none	untested		none yet
Search and load tools at runtime through meta-tools instead of having thousands of tool definitions stuffed into my context C Tool search	ai agent	Tool curation quality — stories about tool curation quality in this arenaTool curation quality	2	none	untested		none yet
Subscribe my agent to events from connected downstream apps (triggers/webhooks) instead of polling them C Triggers	developer	Hosted servers — stories about hosted servers in this arenaHosted servers	2	n/a	untested		none yet
Bridge a locally running MCP server into the platform as a managed remote connection without deploying it C Bridge	developer	Deployment self host — stories about deployment self host in this arenaDeployment self host	1	full	8/10	C claimed
Version, review, and roll back my automations G	ai-native user	Automation depth — how much of the product can run unattendedAutomation depth	1	partial	5/10	C claimed
Prototype my agent's tool connections on a meaningful free tier before paying anything G Pricing	developer	Pricing plans — plan structure and value — what each tier costs and what it unlocksPricing plans	1	partial	3/10	X community
White-label the authorization flow with my own branding and my own OAuth app credentials C White label	platform-engineer	Auth credentials — stories about auth credentials in this arenaAuth credentials	1	none	untested		none yet

Opportunities — the stories that would move this product's scores, from its own judged verdictsOpportunitiestop 8 of 39 stories with headroom

What would move Manufact’s scores — derived from its own judged verdicts, biggest headroom first. Each line quotes what the judge found missing; shipping it (or evidencing it publicly) is the fix.

Auth credentials — stories about auth credentials in this arenaLet the platform run OAuth flows for downstream tools and vault the resulting credentials encrypted, with automatic token refresh
nonemoves PA Scoreimpact 30
Manufact is an MCP server deployment/observability platform; there is no evidence it runs OAuth flows for downstream tools or vaults credentials with automatic token refresh.
Openness — open source, data portability, and self-hosting storiesExport all of my data in open formats and leave
nonemoves PA Scoreimpact 30
Evidence shows Manufact deploys MCP servers from user-owned GitHub repos and offers an API/CLI for programmatic access (manufact-docs-16, manufact-docs-17, manufact-probe-4), but there is no documentation of an explicit 'export all your data' feature covering logs, observability payloads, deployment history, or test results in open/portable formats, nor any account-closure data-export workflow.
Openness — open source, data portability, and self-hosting storiesSelf-host the core product
nonemoves PA Scoreimpact 30
All evidence describes deploying MCP servers to 'Manufact Cloud' (docs-1, docs-3, docs-16) and a CLI for local dev/testing (docs-15) plus REST/API keys for programmatic access (docs-17), but nothing indicates the Manufact platform itself (dashboard, gateway, observability, publish-checks) can be self-hosted outside their cloud.
Auth credentials — stories about auth credentials in this arenaMaintain separate connected accounts and scoped tokens per end user of my product, so each user's agent acts only on that user's credentials
nonemoves PA Scoreimpact 30
Missing: any documentation of end-user-scoped OAuth/token issuance, multi-tenant credential isolation, or per-user connected account management.
Registry discovery — stories about registry discovery in this arenaSearch and browse a large catalog of MCP servers and tools by capability before wiring anything into my agent
nonemoves PA Scoreimpact 30
Manufact is a deploy/manage/observe platform for MCP servers you build and own — there is no evidence of a searchable public catalog/registry of third-party MCP servers or tools that a developer can browse by capability before wiring into an agent.
Agenticness — how well agents can access and operate the productIssue scoped/least-privilege API credentials for an agent
nonemoves agent-readyimpact 30
Missing: any mention of scoped/role-based API key permissions, per-agent credential restriction, or least-privilege access controls.
Agenticness — how well agents can access and operate the productBuild against official SDKs
nonemoves agent-readyimpact 30
Evidence shows an official CLI, REST API with API keys, and an MCP server for managing the platform, but no documented client SDKs (e.g., language libraries) for building against Manufact programmatically; the openapi spec probe also returned 404s, suggesting no formal API/SDK artifact is published.
Agenticness — how well agents can access and operate the productSubscribe to events via webhooks
nonemoves agent-readyimpact 30
No evidence in the pack mentions webhooks or event subscription mechanisms; Manufact's docs cover deployment, observability, MCP tool exposure, and CLI, but nothing about outbound webhook subscriptions for events.

Showing the top 8 of 39 — every none/partial verdict in the story verdicts table is headroom.

Think a verdict is wrong? Every verdicts-table row has a Flag link — see the methodology.

Coverage map — which docs area, API section, or community source covers which judged storiesCoverage map7 surfaces · 26 covered stories

Where the cited evidence behind each covered verdict came from — the same citations the verdicts table shows, no extra judging.

Dashboard docs24 stories

Run the product headlessly / in CI for automation
Plug MCP servers into this product so it can use their tools
Connect an agent via an official MCP server
Drive the product through a documented public API
Get AI-generated insights and suggestions from my data inside the product
Set up automations that run autonomously in the background
Delegate tasks to a built-in AI assistant inside the product
Operate the product with natural-language commands
Test against a sandbox environment without touching production data
Version, review, and roll back my automations
Bridge a locally running MCP server into the platform as a managed remote connection without deploying it
See a log of every tool call that passed through the platform, with enough detail to audit or replay what an agent did
Point my MCP-compatible client at a hosted remote server URL and reach downstream tools without deploying any infrastructure
Turn an existing API definition (OpenAPI) or custom code into a hosted MCP server without writing protocol plumbing
Publish my own MCP server on the platform for distribution, discovery, and installation by others
See usage analytics for the servers and tools my org consumes or publishes — call volumes, users, errors, and cost
Do everything through the API that I can do in the UI
Prototype my agent's tool connections on a meaningful free tier before paying anything
See transparent pricing per tool call or connection plus documented rate limits before committing to the platform
Query the platform's registry or catalog through a documented API to discover servers and tools programmatically
Inspect a listed server's tools, input schemas, transport, and hosting attributes before connecting to it
Exercise an MCP server's tools from a browser-based inspector or playground before integrating it
Drive the publish-and-deploy workflow from an official CLI — authenticate, stage or build a server, push it, and install it into agents
Compare servers using published quality signals — usage counts, health or liveness checks, scores, or verification badges

CLI docs7 stories

Run the product headlessly / in CI for automation
Use an official CLI
Test against a sandbox environment without touching production data
Turn an existing API definition (OpenAPI) or custom code into a hosted MCP server without writing protocol plumbing
Do everything through the API that I can do in the UI
Exercise an MCP server's tools from a browser-based inspector or playground before integrating it
Drive the publish-and-deploy workflow from an official CLI — authenticate, stage or build a server, push it, and install it into agents

MCP docs6 stories

Point an agent at llms.txt or agent-oriented docs
Connect an agent via an official MCP server
Drive the product through a documented public API
Operate the product with natural-language commands
Do everything through the API that I can do in the UI
Query the platform's registry or catalog through a documented API to discover servers and tools programmatically

OpenAPI spec5 stories

Run the product headlessly / in CI for automation
Drive the product through a documented public API
Turn an existing API definition (OpenAPI) or custom code into a hosted MCP server without writing protocol plumbing
Do everything through the API that I can do in the UI
Query the platform's registry or catalog through a documented API to discover servers and tools programmatically

Hacker News4 stories

Connect an agent via an official MCP server
See usage analytics for the servers and tools my org consumes or publishes — call volumes, users, errors, and cost
Prototype my agent's tool connections on a meaningful free tier before paying anything
See transparent pricing per tool call or connection plus documented rate limits before committing to the platform

llms.txt1 story

Point an agent at llms.txt or agent-oriented docs

docs.manufact.com1 story

Point my MCP-compatible client at a hosted remote server URL and reach downstream tools without deploying any infrastructure

Probe proofs — replayable recordings from the probe harnessProbe proofs

Replayable recordings from our probe harness — see the Prove-It protocol to submit one.

$curl -s https://docs.manufact.com/mcp.md | head -8reproduced

$ curl -s https://docs.manufact.com/mcp.md | head -8
# Manufact MCP server (/mcp)

Manufact Cloud is itself controllable over MCP. The official **Manufact Cloud MCP server** exposes the platform, organizations, servers, deployments, logs, and observability, as MCP tools, so you can manage everything from Cursor, Claude, or any other MCP client.

```text
https://mcp.manufact.com/mcp

proves: Point an agent at llms.txt or agent-oriented docs proves: Connect an agent via an official MCP serverrecorded 2026-09-10

$curl -s https://manufact.com/llms.txt | head -6reproduced

$ curl -s https://manufact.com/llms.txt | head -6
# Manufact (https://manufact.com)
#
# If you are an AI agent helping a developer build an MCP server or MCP App:
#
# → Scaffold a new MCP server or App (TypeScript):
#     npx create-mcp-use-app@latest my-app

proves: Point an agent at llms.txt or agent-oriented docsrecorded 2026-09-10

$curl -si -X POST https://mcp.manufact.com/mcp -H 'Content-Type: application/json' -d '<jsonrpc initialize>'reproduced

$ curl -si -X POST https://mcp.manufact.com/mcp -H 'Content-Type: application/json' -d '<jsonrpc initialize>'
HTTP/2 401

date: Thu, 10 Sep 2026 19:14:49 GMT

content-type: application/json

cf-ray: a390c2009e9b944d-SJC

cf-cache-status: DYNAMIC

access-control-allow-origin: *

server: cloudflare

vary: accept-encoding

www-authenticate: Bearer error="unauthorized", error_description="Authorization needed", resource_metadata="https://mcp.manufact.com/.well-known/oauth-protected-resource/mcp"

access-control-expose-headers: *

{"error":"Missing Authorization header"}

proves: Connect an agent via an official MCP serverrecorded 2026-09-10

Claims vs evidence — vendor claims reconciled against independent verdictsClaims vs evidence

3 of 11 testable claims verified · 5 contradicted → integrity 0/100

21 distinct capability claims found in Manufact’s own claimed-docs/GitHub materials, reconciled against our judge’s independent verdicts.

Verified

Unverified

Contradicted

Undersold

Verified (4)

“Manage the platform (orgs, servers, deployments, logs, observability) as MCP tools from Cursor or Claude”
Connect an agent via an official MCP server full proof ↗
“Manage the platform (orgs, servers, deployments, logs, observability) as MCP tools from Cursor or Claude”
Do everything through the API that I can do in the UI partial proof ↗
“Run an MCP server locally with hot reload and an inspector via the CLI”
Drive the publish-and-deploy workflow from an official CLI — authenticate, stage or build a server, push it, and install it into agents partial proof ↗
“Deploy the current local project to Manufact Cloud via CLI command”
Drive the publish-and-deploy workflow from an official CLI — authenticate, stage or build a server, push it, and install it into agents partial proof ↗

Unverified (5)

“Connect an already-running MCP server by pasting its URL, no deployment needed, for chat, testing, and publishing”
Bridge a locally running MCP server into the platform as a managed remote connection without deploying it full proof ↗
“Fix detected issues by copying a fix prompt into your own coding agent or running a built-in autofix flow”
Delegate tasks to a built-in AI assistant inside the product partial proof ↗
“View a live feed of individual gateway requests, refreshed every few seconds”
See a log of every tool call that passed through the platform, with enough detail to audit or replay what an agent did partial proof ↗
“Optionally capture and store full request and response payload bodies for gateway events”
See a log of every tool call that passed through the platform, with enough detail to audit or replay what an agent did partial proof ↗
“Downgrade a proxied URL-connected server back to a direct external connection”
Bridge a locally running MCP server into the platform as a managed remote connection without deploying it full proof ↗

Contradicted (5)

“Run an automated audit of a server for MCP protocol compliance and platform readiness”
Rely on the platform scanning or inspecting listed servers for malicious or vulnerable behavior before my agents use them none proof ↗
“Automatically kick off a compliance checklist run after every successful deployment”
Define rules that trigger actions automatically on events n/a
“Issue API keys for programmatic access to the org via REST API, CI pipelines, and scripts”
Issue scoped/least-privilege API credentials for an agent none proof ↗
“Get one-click installs or copy-paste configuration to add servers into agent clients”
Plug the platform's tools into major agent frameworks and SDKs (Vercel AI SDK, LangChain, CrewAI, OpenAI or Anthropic SDKs) with documented adapters none proof ↗
“Set a monthly spend limit on metered usage beyond included credits”
See transparent pricing per tool call or connection plus documented rate limits before committing to the platform disputed proof ↗

Undersold (19)

Point an agent at llms.txt or agent-oriented docs full proof ↗
Run the product headlessly / in CI for automation full proof ↗
Plug MCP servers into this product so it can use their tools full proof ↗
Use an official CLI full proof ↗
Drive the product through a documented public API partial proof ↗
Get AI-generated insights and suggestions from my data inside the product partial proof ↗
Set up automations that run autonomously in the background partial proof ↗
Operate the product with natural-language commands full proof ↗
Test against a sandbox environment without touching production data partial proof ↗
Version, review, and roll back my automations partial proof ↗
Point my MCP-compatible client at a hosted remote server URL and reach downstream tools without deploying any infrastructure full proof ↗
Turn an existing API definition (OpenAPI) or custom code into a hosted MCP server without writing protocol plumbing partial proof ↗
Publish my own MCP server on the platform for distribution, discovery, and installation by others partial proof ↗
See usage analytics for the servers and tools my org consumes or publishes — call volumes, users, errors, and cost partial proof ↗
Prototype my agent's tool connections on a meaningful free tier before paying anything partial proof ↗
Query the platform's registry or catalog through a documented API to discover servers and tools programmatically partial proof ↗
Inspect a listed server's tools, input schemas, transport, and hosting attributes before connecting to it partial proof ↗
Exercise an MCP server's tools from a browser-based inspector or playground before integrating it partial proof ↗
Compare servers using published quality signals — usage counts, health or liveness checks, scores, or verification badges partial proof ↗

Claims outside our story set (8)

Real capability claims found in Manufact’s own materials, but no story in this arena’s taxonomy covers them yet — that’s feedback on the taxonomy, not a mark against the product.

“Deploy an MCP server directly from a GitHub repository in minutes”
source ↗
“Create a new server from a template, which spins up a GitHub repo and deploys it automatically”
source ↗
“Automatically create a preview environment with its own MCP URL for each branch”
source ↗
“Manually trigger a deployment of any branch on demand”
source ↗
“View a deployment history table with MCP URL, source branch/commit, duration, timestamps, and latest checklist score”
source ↗
“Run end-to-end checks that exercise the server live inside ChatGPT and Claude”
source ↗
“Run checklist tests across multiple different MCP clients and LLM models”
source ↗
“Choose which Git branch serves as the canonical production deployment URL”
source ↗

Suggest a story for these →

Business model

free-tiersubscriptionusage-basedenterprise-custom

Free ($5 monthly credits, 2 projects), Hobby $25/mo, Startup $250/mo with included credits; usage beyond credits is pay-as-you-go per request; Enterprise custom.

pricing ↗

Score trend

How this product’s scores have moved as evidence and verdicts are re-derived — a point per change, not per day.

PA Scoretracked since Sep 10 '26 — no movement recorded yet

Agent-readytracked since Sep 10 '26 — no movement recorded yet

Try Experimental

Run it in the microterminal →

Recorded agent sessions — and a live MCP handshake where the vendor ships one.

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⚑ Flag a verdict

Think a verdict is wrong? Opens a prefilled GitHub issue — or use the ⚑ next to any verdict above.

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Hotlinked SVG — always shows the live current score.

For agents

This page as markdown /llms.txt

Data

Evidence (JSON)Verdicts (JSON)

Agent surface uptime MCP up · llms.txt up (tracking since Sep 11 '26)

Manufact

Try itExperimental

Verified integrations

By theme — the product's score on each story themeBy theme

Story verdicts — every judged story with its evidenceStory verdicts

🤖Agenticness — how well agents can access and operate the productAgenticness

🔑Auth credentials — stories about auth credentials in this arenaAuth credentials

⚙️Automation depth — how much of the product can run unattendedAutomation depth

🚀Deployment self host — stories about deployment self host in this arenaDeployment self host

🔌Gateway controls — stories about gateway controls in this arenaGateway controls

🔌Hosted servers — stories about hosted servers in this arenaHosted servers

📊Observability analytics — stories about observability analytics in this arenaObservability analytics

🔓Openness — open source, data portability, and self-hosting storiesOpenness

💲Pricing plans — plan structure and value — what each tier costs and what it unlocksPricing plans

🔒Privacy posture — data-handling and privacy storiesPrivacy posture

🔎Registry discovery — stories about registry discovery in this arenaRegistry discovery

🔌Sdk clients — stories about sdk clients in this arenaSdk clients

🛠️Tool curation quality — stories about tool curation quality in this arenaTool curation quality

Opportunities — the stories that would move this product's scores, from its own judged verdictsOpportunitiestop 8 of 39 stories with headroom

Coverage map — which docs area, API section, or community source covers which judged storiesCoverage map7 surfaces · 26 covered stories

Probe proofs — replayable recordings from the probe harnessProbe proofs

Claims vs evidence — vendor claims reconciled against independent verdictsClaims vs evidence

Business model

Score trend

Agenticness — how well agents can access and operate the productAgenticness

Auth credentials — stories about auth credentials in this arenaAuth credentials

Automation depth — how much of the product can run unattendedAutomation depth

Deployment self host — stories about deployment self host in this arenaDeployment self host

Gateway controls — stories about gateway controls in this arenaGateway controls

Hosted servers — stories about hosted servers in this arenaHosted servers

Observability analytics — stories about observability analytics in this arenaObservability analytics

Openness — open source, data portability, and self-hosting storiesOpenness

Pricing plans — plan structure and value — what each tier costs and what it unlocksPricing plans

Privacy posture — data-handling and privacy storiesPrivacy posture

Registry discovery — stories about registry discovery in this arenaRegistry discovery

Sdk clients — stories about sdk clients in this arenaSdk clients

Tool curation quality — stories about tool curation quality in this arenaTool curation quality