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GitHub MCP Server

AI Agents

Official GitHub MCP server that lets AI agents read repositories, manage issues and pull requests, and automate GitHub workflows.

Visit websiteDocs

Related tools

Explore products with related capabilities. Check their details for your use case.

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External GitHub integration options. Review each provider’s features, access and pricing for your use case.

Pipedream GitHub MCP

Connect a GitHub account through Pipedream's hosted MCP service.

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Composio GitHub MCP toolkit

Use Composio's GitHub tools with its MCP toolkit.

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Keep evaluating GitHub MCP Server

Comparisons, category adoption data, and shortlist guides that answer the questions this profile raises next.

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  • AI Agents developers actually keep usingFiltered to products with verified usage events, cohort breadth, and retention.
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OverviewProduct evaluationBuild examplesResourcesCompany evidence

Product evaluation

Review GitHub MCP Server for your team’s requirements before a technical pilot.

Commercial model

Open source

View vendor website

Listed pricing category. Confirm current rates, limits and enterprise contract terms with the vendor.

Implementation

Open source listed

DocumentationSource repository

Validate integration, deployment and operational requirements in your own environment.

Enterprise review

Security, data handling, support and contract terms require vendor confirmation. Linked sources do not establish certification or approval.

Public implementation evidence

Built with GitHub MCP Server

Projects that list this product. Use is self-reported.

Anonymous builder4 months ago
GPT Researcher

Public-source project proof for GPT Researcher. The project ships an autonomous research workflow with repo evidence, docs, MCP-oriented extension points, and a public product site. Curated as public source evidence, not an ownership claim.

Listed tools (3)

  • OpenAI APIModel APIs for assistants, embeddings, retrieval, and production AI apps.
  • LangChainFramework for composing agents, RAG workflows, retrieval, and tool calls.
  • GitHub MCP ServerOfficial GitHub MCP server that lets AI agents read repositories, manage issues and pull requests, and automate GitHub workflows.
0 0 1Open
Company evaluation and adoption evidence

Enterprise fit

Buyer brief for procurement and architecture review

Source-labeled signals for cost, reliability, security, integration, and adoption proof. Missing compliance evidence is shown as a gap, not guessed.

Compare for enterpriseExport brief
Inferred

Commercial model

Open source profile signal; exact enterprise terms need buyer review.

View source
Needs verification

Reliability

No status page, uptime, or SLA evidence attached

Buyer recommendation

Shortlist only after verifying Reliability and Security/compliance.

Docs are linked for implementation review.Open-source path can reduce lock-in review.At least one buyer evidence source is linked or verified.

Vendor value loop

Vendors receive anonymous aggregate evaluation demand by default. Account details are shared only after explicit buyer contact or consent.

Request vendor contact

Real data backfill while adoption proof grows

These are source-linked enrichment paths for missing fields. They are treated as proxies until claimed-company data and first-party tokens& adoption events replace them.

GitHub repository APIfreeStars, forks, license, topics, releases, default branch, repo freshness, and public contributor signal.OpenSSF ScorecardfreeOpen-source security posture checks for repos before enterprise review.Wikidata company graph

AgentRank trust profile

Public proof buyers and agents can trust

AgentRank

51

Public signals · ★ 34,175

Trust Score

48

observed

Category Rank

#4

AI Agents · public signals

Protocols

SDK, MCP

Agent-readable metadata

Tracked Developers

0

Known active developer activity

Profile Status

Unclaimed

Owner action needed

Trust Registry

AgentRank evidence file
observed

Source breakdown

GitHub34,175

68% confidence

Protocol support

SDKMCP
Adoption over time
Last 8 weeks+868 GitHub stars in 30d · cohort private · trust 48

Timeline appears after verified events.

We do not draw a fake adoption chart before live usage, self-reported proof, or challenge activity exists for this product.

Private (N<7)

active developers

Private (N<7)

verified adoptions

Private (N<7)

retention

Growth and Enterprise capabilities

Developer identities, account mapping, retention cohorts, and competitor overlap are available on Growth and Enterprise plans.

Talk to sales
Developer identities
See the builders behind saves, docs clicks, API calls, and retained usage.
Account map
Resolve developer activity into companies, teams, and enterprise accounts.
Retention cohorts
Track first API call through 7/30/90-day retention and expansion.
Competitor overlap
Find developers evaluating alternatives and switching between tools.
Category benchmark
Resources
Official siteLink

Canonical product page

DocumentationLink

Primary docs for setup and usage

GitHubLink

Source repository and release activity

Company details

Sign in to follow this company, vote for its product, or save it to your workspace.

Community support for GitHub MCP Server. Votes do not verify product usage.

Pricing
Open source
Open source
Yes
API available
No

GitHub Stats

Stars
34,175
Forks
5,279
Issues
398
AgentRank category rankings
How every category is ordered by adoption proof, trust, and protocol support.
  • Best AI Agent FrameworksShortlist guide for this category, with the tradeoffs written out.
  • Best Open Source AI ToolsShortlist guide for this category, with the tradeoffs written out.

    • Own GitHub MCP Server? Generate its adoption badge embed, or claim the profile to send verified usage events.

    Needs verification

    Security/compliance

    No security, trust, or compliance source attached

    Source linked

    Integration fit

    Documentation source linked

    View source
    Inferred

    Adoption proof

    1 recorded adoption event; verification is not established

    free
    Parent company, acquisition, and ownership hints to avoid misleading same-owner comparisons.

    Agent-readable protocol evidence raises trust and commercial readiness.

    Benchmark proof

    Automated measurements unavailable

    Automated performance measurements are unavailable until a separately verified empirical evaluator is configured. Community reports do not unlock this component.

    Trust gaps

    Verify publisher ownership
    Send SDK/API telemetry
    Automated performance measurements unavailable

    Enterprise verification can enrich evidence and export proof packages, but cannot buy rank.

    Next best action

    Verify ownership to manage GitHub MCP Server.

    Review aggregate activity and connect product usage evidence. Private reports retain their existing permissions and plan requirements.

    Public projects and activity accumulate here before your company joins. Claim this existing profile to manage it and review aggregate activity.

    Claim this tool to review aggregate activity
    Compare activation, retention, and growth against your market.
    Recommended actions
    Prioritized DevRel, product, and sales plays based on live adoption signals.