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Side-by-side MCP evidence comparison
Evidence fieldWorkOS MCPRemovedGitHub MCPMCP100 Selected
Task fit
Best for
  • Connect compatible AI clients to WorkOS's documented MCP capabilities.
  • Repository, issue, pull-request, and code context
  • Teams that can issue a narrowly scoped PAT or use the hosted OAuth flow
  • Read-only GitHub investigation using restricted toolsets
Not ideal for
  • Users who need a fully reviewed MCP100 recommendation today
  • Git hosting outside GitHub
  • Users unable to run Docker for the documented local configuration
  • Workflows that need only a small amount of public repository context
Avoid when
  • Permissions, credentials, and connected data cannot be tested with least privilege
  • You cannot restrict the token to the necessary repositories and scopes
  • The agent must not receive private repository, issue, pull-request, or user data
  • Your organization has not approved the OAuth app or PAT policy
Provenance
Provenance details

First-party MCP

WorkOS · Publisher source ↗

First-party MCP

GitHub · Publisher source ↗

Maintenance
Maintenance details

Repo: Not documented

Package: Not documented

Repo: Aug 14, 2026

Package: Not documented

Popularity evidence
GitHub starsNot documented

32,248

GitHub stars · checked 2026-08-14T18:46:26.000Z

External adoption evidenceNot documented
  • github: repository stars: 32,248Exact attributable signal.github: repository stars · Admission snapshot · checked 2026-08-14T18:46:26.000ZEvidence source ↗
Client coverage
Client coverage detailsNot documented
Claude Code✓ Streamable HTTP
Claude Desktop✓ Streamable HTTP
Codex✓ Streamable HTTP
VS Code✓ Streamable HTTP
Cursor✓ Streamable HTTP
OpenCode✓ Streamable HTTP
Client coverage noteLocal stdio runs on your computer. Streamable HTTP connects to a remotely hosted MCP server.
Access and data
AuthenticationFollow only the publisher source; credential storage, scopes, and revocation remain under review.Hosted service supports OAuth; local stdio uses GITHUB_PERSONAL_ACCESS_TOKEN. GitHub recommends minimum scopes, separate tokens, rotation, and environment-variable handling.
CostPublisher plans, API usage, infrastructure, or per-action charges may apply; MCP100 has not published a cost conclusion.The open-source server is MIT licensed. GitHub account, Copilot, Enterprise, Actions, API, or other product charges and limits may apply independently.
PermissionsExact permissions and read/write boundaries have not completed MCP100 review.Access follows the authenticated GitHub identity and granted OAuth/PAT permissions. The server supports tool allow-lists, read-only mode, repository-oriented toolsets, and lockdown mode; write tools remain possible unless read-only mode is enabled.
Data handlingCandidate-specific retention, subprocess, telemetry, and model-data behavior remain review items.Repository contents, issues, pull requests, users, actions, and other enabled GitHub API data may be returned to the MCP client. The local server passes requests to GitHub; the hosted server is operated by GitHub. Do not place PATs in committed configuration.
Limitations
Tradeoffs
  • Publisher attribution supports discovery, but does not replace an independent permissions and usability review.
  • The default local toolsets include repositories, issues, pull requests, users, and context; limiting toolsets reduces capability and context size.
  • Local Docker keeps the MCP process local but still sends authorized requests to GitHub APIs.
  • PAT setup is explicit and portable, while hosted OAuth is easier but relies on GitHub's remote MCP service.
Risk contextUse a test account, least privilege, read-only controls where available, and explicit approval for mutations.A broadly scoped token plus write-capable tools can alter repositories and collaboration records. Prefer fine-grained credentials, repository restriction, explicit toolsets, GITHUB_READ_ONLY=1, and lockdown mode where public-content prompt injection is a concern.
Evidence date
Editorial review2026-07-242026-07-24
Candidate evidence2026-07-29T02:23:36.769Z2026-08-14T18:46:26.000Z

Popularity, maintenance, fit, permissions, and client support are independent evidence fields.

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