M
MCP Directory CURATED DIRECTORY
911 MCP servers indexed
中文
← Back to directory
COMPARE UP TO 4 SERVERS

Compare MCP servers

Compare scores, permissions, risks, and fit in one decision-focused table.

DimensionOpenAI Apps SDK ExamplesOpenAI's official Apps SDK example gallery of MCP servers with interactive ChatGPT widgetsGitHub MCP ServerGitHub's official MCP server for managing repos, issues, PRs, and workflows via natural language
FMRS59 / 100 · C76 / 100 · B
Reliability8 / 2013 / 20
Security and permissions13 / 2014 / 20
Maintenance12 / 2018 / 20
Documentation15 / 2017 / 20
Setup experience11 / 2014 / 20
Best for
  • Developers learning the Apps SDK/MCP component development pattern
  • Teams planning to build a custom connector app for ChatGPT
  • Engineers who want working Node and Python reference code for widget rendering and state synchronization
  • Teams that want an AI assistant to directly operate on GitHub repos and collaboration workflows
  • Users already in the GitHub Copilot ecosystem who want a zero-deployment remote option
Not for
  • Anyone needing a ready-to-use production MCP service (this is example/scaffold code, not a hosted service)
  • End users who just want a specific feature without doing any development
  • Use cases requiring official support in non-ChatGPT hosts (Claude Desktop, etc.) — these examples are built around the Apps SDK/ChatGPT
  • Scenarios where you don't want the assistant to have write access to repos (enable only read-only toolsets)
  • Environments with strict network isolation for private repos that can't reach the official remote endpoint
Required permissions
  • Runs local HTTP servers (port 4444 by default for static assets, 8000 for the various MCP servers)
  • The Authenticated example server needs OAuth credentials configured to demonstrate authorized tool calls
  • Exposing a local server publicly via ngrok or similar requires authorizing tunnel access and configuring allowed hosts/origins
  • A personal access token (PAT) or OAuth App token; effective scope depends on the token's own permissions
  • Enabling toolsets like actions/issues/pull_requests grants write access — request tokens on a least-privilege basis
Risks and side effects
  • The examples are learning scaffolds, not production-hardened — e.g. the shopping cart demo shows the widgetSessionId mechanism but does not persist cart state server-side
  • Exposing a local server to the internet via ngrok without restricting MCP_ALLOWED_HOSTS/MCP_ALLOWED_ORIGINS could allow unauthorized access
  • The Python Pizzaz server caches widget HTML with functools.lru_cache, so rebuilt or edited assets can appear stale until the server is restarted
  • Write toolsets (creating/merging PRs, triggering workflows) can cause accidental changes if the token is overscoped — try a read-only toolset first
  • In hosted mode, credentials travel via the Authorization header — make sure the client-to-api.githubcopilot.com connection is trusted
Supported clientsChatGPTClaude Desktop, Claude Code, VS Code, Cursor, Windsurf, JetBrains IDEs, Zed, Amp
Tools015