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Rank #3 of 6 in MCP Infrastructure & Registries

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Glama

Glama · commercial

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Glama homepage screenshot
homepage · captured Sep 2026 · view live ↗
Glama docs screenshot
docs · captured Sep 2026 · view live ↗

Try itExperimental

See what an agent can do with Glama 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); sandboxed self-drive sessions are designed and gated (docs/TRY-IT.md).

$curl -s https://glama.ai/api/mcp/openapi.json | head -c 500recorded session — replayed, not live
recorded 2026-09-05 · exit 0 · captured verbatim by our probe harness, secrets redacted · pure-HTTP probe — ▶ run live re-runs it from our edge

Verified integrations

Connections to other tracked products — hover a chip for the verbatim evidence quote behind it.

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

36.3/100

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

15.0/100

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

Stories about deployment self host in this arena

30.0/100

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

Stories about gateway controls in this arena

30.0/100

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

Stories about hosted servers in this arena

57.2/100

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

Stories about observability analytics in this arena

0.0/100

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

Open source, data portability, and self-hosting stories

6.0/100

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

4.0/100

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

71.2/100

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

Stories about sdk clients in this arena

0.0/100

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

Stories about tool curation quality in this arena

15.0/100

Story verdicts — every judged story with its evidenceStory verdicts

What’s free: 0 free · 1 paid · 0 enterprise · 25 not stated in evidence

?

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 userAgenticness — how well agents can access and operate the productAgenticness3full7/10T

Plug MCP servers into this product so it can use their tools G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3full7/10C

Drive the product through a documented public API G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3partial6/10T

Delegate tasks to a built-in AI assistant inside the product G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness3n/auntestednone yet

Download a machine-readable API spec (OpenAPI or equivalent) G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full8/10T

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

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full8/10T

Explore an interactive API reference with runnable examples G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial5/10T

Run the product headlessly / in CI for automation G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2disputed4/10D

Set up automations that run autonomously in the background G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial4/10C

Subscribe to events via webhooks G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial4/10C

Build against official SDKs G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial3/10T

Issue scoped/least-privilege API credentials for an agent G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Rely on versioned APIs with a documented deprecation policy G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Get AI-generated insights and suggestions from my data inside the product G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2n/auntestednone yet

Operate the product with natural-language commands G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2n/auntestednone yet

Use an official CLI G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2noneuntestednone yet

Test against a sandbox environment without touching production data G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness1partial4/10C

Query the platform's registry or catalog through a documented API to discover servers and tools programmatically C

Api

ai agentRegistry discovery — stories about registry discovery in this arenaRegistry discovery3full8/10T

Reach a deep catalog of third-party apps and APIs (hundreds to thousands of integrations) through the platform C

Catalog

developerHosted servers — stories about hosted servers in this arenaHosted servers3full8/10T

Search and browse a large catalog of MCP servers and tools by capability before wiring anything into my agent C

Search

developerRegistry discovery — stories about registry discovery in this arenaRegistry discovery3full8/10T

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

Connect

developerHosted servers — stories about hosted servers in this arenaHosted servers3fullpaid7/10X

Define rules that trigger actions automatically on events G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth3partial4/10C

Let the platform run OAuth flows for downstream tools and vault the resulting credentials encrypted, with automatic token refresh C

Oauth

developerAuth credentials — stories about auth credentials in this arenaAuth credentials3none0/10

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-engineerAuth credentials — stories about auth credentials in this arenaAuth credentials3none0/10

Self-host the core product G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness3none0/10

Export all of my data in open formats and leave G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness3noneuntestednone yet

Prevent my data from being used to train AI models G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture3noneuntestednone yet

Exercise an MCP server's tools from a browser-based inspector or playground before integrating it C

Playground

developerRegistry discovery — stories about registry discovery in this arenaRegistry discovery2full8/10C

Publish my own MCP server on the platform for distribution, discovery, and installation by others C

Publish

developerHosted servers — stories about hosted servers in this arenaHosted servers2full7/10X

Inspect a listed server's tools, input schemas, transport, and hosting attributes before connecting to it C

Metadata

developerRegistry discovery — stories about registry discovery in this arenaRegistry discovery2partial6/10T

Restrict which servers and individual tools an agent may call through allowlists or per-tool access control C

Access control

platform-engineerGateway controls — stories about gateway controls in this arenaGateway controls2partial6/10C

Compare servers using published quality signals — usage counts, health or liveness checks, scores, or verification badges C

Signals

developerTool curation quality — stories about tool curation quality in this arenaTool curation quality2disputed5/10D

Do everything through the API that I can do in the UI G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness2partial5/10T

Rely on the platform scanning or inspecting listed servers for malicious or vulnerable behavior before my agents use them C

Security

platform-engineerTool curation quality — stories about tool curation quality in this arenaTool curation quality2partial5/10T

Schedule recurring jobs or workflows G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth2partial4/10C

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-engineerGateway controls — stories about gateway controls in this arenaGateway controls2partial4/10C

Subscribe my agent to events from connected downstream apps (triggers/webhooks) instead of polling them C

Triggers

developerHosted servers — stories about hosted servers in this arenaHosted servers2partial4/10C

Turn an existing API definition (OpenAPI) or custom code into a hosted MCP server without writing protocol plumbing C

Generate

developerHosted servers — stories about hosted servers in this arenaHosted servers2partial4/10C

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

developerSdk clients — stories about sdk clients in this arenaSdk clients2none0/10

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

developerSdk clients — stories about sdk clients in this arenaSdk clients2none0/10

Search and load tools at runtime through meta-tools instead of having thousands of tool definitions stuffed into my context C

Tool search

ai agentTool curation quality — stories about tool curation quality in this arenaTool curation quality2none0/10

See transparent pricing per tool call or connection plus documented rate limits before committing to the platform G

Pricing

developerPricing plans — plan structure and value — what each tier costs and what it unlocksPricing plans2none0/10

See usage analytics for the servers and tools my org consumes or publishes — call volumes, users, errors, and cost C

Analytics

platform-engineerObservability analytics — stories about observability analytics in this arenaObservability analytics2none0/10

Choose where my data is stored (region/residency) G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2noneuntestednone yet

Control data retention and deletion G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2noneuntestednone yet

Opt out of telemetry and usage tracking G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2noneuntestednone yet

Perform bulk operations across many items at once G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth2noneuntestednone yet

Read the product's source under an open license G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness2noneuntestednone yet

Bridge a locally running MCP server into the platform as a managed remote connection without deploying it C

Bridge

developerDeployment self host — stories about deployment self host in this arenaDeployment self host1partial5/10C

Prototype my agent's tool connections on a meaningful free tier before paying anything G

Pricing

developerPricing plans — plan structure and value — what each tier costs and what it unlocksPricing plans1disputed4/10D

Version, review, and roll back my automations G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth1none0/10

White-label the authorization flow with my own branding and my own OAuth app credentials C

White label

platform-engineerAuth credentials — stories about auth credentials in this arenaAuth credentials1noneuntestednone yet

Opportunities — the stories that would move this product's scores, from its own judged verdictsOpportunitiestop 8 of 36 stories with headroom

What would move Glama’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.

  1. 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

    No evidence Glama manages OAuth flows for downstream tools or vaults credentials with encrypted storage and automatic refresh; the docs cover hosting, gateway logging, per-tool access control and inspector testing but nothing about OAuth/credential vaulting.

  2. Openness — open source, data portability, and self-hosting storiesExport all of my data in open formats and leave

    nonemoves PA Scoreimpact 30

    No evidence of a data-export feature, open-format export tools, or account-portability mechanism for user-uploaded MCP configurations, server catalogs, or usage data; evidence covers hosting, API access, and catalog browsing but not exporting/leaving with one's own data.

  3. Openness — open source, data portability, and self-hosting storiesSelf-host the core product

    nonemoves PA Scoreimpact 30

    Missing: any mention of open-source code, self-host installer/docker-compose for the core platform, or on-prem deployment instructions.

  4. 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

    No evidence of per-end-user connected accounts or scoped tokens; Glama's gateway/hosting docs describe per-tool access control and a single API-key model for the platform itself, not multi-tenant credential isolation for a product's end users.

  5. Privacy posture — data-handling and privacy storiesPrevent my data from being used to train AI models

    nonemoves PA Scoreimpact 30

    Missing: any training-data opt-out policy, privacy documentation, or terms-of-service statement on data usage.

  6. Agenticness — how well agents can access and operate the productUse an official CLI

    nonemoves agent-readyimpact 30

    No evidence of an official Glama CLI tool anywhere in the docs, probes, or community discussion; the product exposes web UI, APIs (OpenAPI, registry API), and a browser-based inspector, but nothing indicating a dedicated CLI for AI-native workflows.

  7. Agenticness — how well agents can access and operate the productIssue scoped/least-privilege API credentials for an agent

    nonemoves agent-readyimpact 30

    Missing: scoped credential creation, permission/role definitions per key, evidence of least-privilege token issuance for agents.

  8. Agenticness — how well agents can access and operate the productRely on versioned APIs with a documented deprecation policy

    nonemoves API qualityimpact 30

    Missing: explicit API version numbering, changelog/migration guides, and a stated deprecation/support-lifetime policy.

Showing the top 8 of 36 — 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 · 29 covered stories

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

MCP docs20 stories

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://glama.ai/api/mcp/openapi.json | head -c 500reproduced
$ curl -s https://glama.ai/api/mcp/openapi.json | head -c 500
{"openapi":"3.0.3","info":{"contact":{"email":"support@glama.ai","name":"Glama","url":"https://glama.ai"},"description":"The MCP API provides access to our curated directory of MCP servers. Use it to integrate the [Glama MCP server directory](https://glama.ai/mcp/servers) into your application.\n\n## Authentication\n\nDirectory read endpoints require an API [redacted]. [Create one here](https://glama.ai/settings/api-[redacted]s) and send it as `[redacted] <[redacted]>`.\n\nThe usage telemetry endpoint is
$curl -s 'https://glama.ai/api/mcp/v1/servers?first=2' | head -c 700reproduced
$ curl -s 'https://glama.ai/api/mcp/v1/servers?first=2' | head -c 700
{"error":{"code":"unauthorized","message":"This endpoint requires an API [redacted]. Create one at https://glama.ai/settings/api-[redacted]s.\n\nUse of this data is governed by the API Data License, which requires visible attribution to Glama on every page that displays it, and a link to a record's Glama listing wherever you present that record: https://glama.ai/policies/terms-of-service"}}

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

3 of 9 testable claims verified · 0 contradictedintegrity 33/100

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

3

Verified

6

Unverified

0

Contradicted

17

Undersold

Verified (4)
Unverified (6)
Undersold (17)
Claims outside our story set (1)

Real capability claims found in Glama’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.

  • Server listings are private by default and can be switched to public when ready

    source ↗
Suggest a story for these →

Business model

free-tiersubscriptionusage-based

The MCP directory and browser inspector are free to use; the AI workspace (chat, gateway, hosted servers) is a paid subscription, and the directory API is metered behind API keys with an attribution license.

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 5 '26 — no movement recorded yet
Agent-readytracked since Sep 5 '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.

Flag

⚑ Flag a verdict

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

Badge

Embed this product's score badge →

Hotlinked SVG — always shows the live current score.

For agents

Data

⚿ auth1 auth-gated probe

Agent surface uptime llms.txt 100% (30d, checked every 6h since Sep 8 '26)