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 widgetsNPM Sentinel MCP ServerAI-powered NPM package analysis MCP server
FMRS59 / 100 · C79 / 100 · B
Reliability8 / 2012 / 20
Security and permissions13 / 2016 / 20
Maintenance12 / 2018 / 20
Documentation15 / 2018 / 20
Setup experience11 / 2015 / 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
  • Developers auditing NPM dependencies within AI workflows
  • Teams performing supply chain security assessments
  • Users of Claude Desktop, Cursor, or VS Code
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
  • Projects outside the NPM ecosystem (e.g., pure Python/Go)
  • Environments without network access to deps.dev, OSV.dev, and the npm registry
  • Scenarios requiring maintenance by an official upstream vendor
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
  • Network access to the NPM registry and external services (deps.dev, OSV.dev, OpenSSF, npms.io, GitHub)
  • Read access to workspace lockfiles (pnpm-lock.yaml, package-lock., yarn.lock) for cache invalidation
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
  • Third-party READMEs and changelogs are untrusted external content; they are wrapped in tags with _meta flags but should still be handled cautiously
  • Depends on availability and accuracy of external services
  • Batch requests are capped at 25 packages to prevent registry enumeration; larger sets require batching
  • Third-party open source project, not officially maintained by NPM or Anthropic
Supported clientsChatGPTClaude Desktop, VS Code, Cursor
Tools019