| FMRS | 51 / 100 · D | 80 / 100 · B | 79 / 100 · B |
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| Reliability | 8 / 20 | 14 / 20 | 12 / 20 |
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| Security and permissions | 11 / 20 | 16 / 20 | 16 / 20 |
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| Maintenance | 10 / 20 | 17 / 20 | 18 / 20 |
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| Documentation | 13 / 20 | 15 / 20 | 18 / 20 |
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| Setup experience | 9 / 20 | 18 / 20 | 15 / 20 |
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| Best for | - Developers who want ChatGPT to actually edit and execute against a local codebase
- Advanced users comfortable configuring a tunnel, a browser extension and per-capability permission switches in a beta product
- Users on Windows 10/11, macOS 13 Ventura or newer, or a current desktop Linux with Chrome 116+ or Edge
| - Developers using fast-moving frameworks/libraries worried about the AI suggesting stale code
- Scenarios wanting zero-config documentation lookup
| - Developers auditing NPM dependencies within AI workflows
- Teams performing supply chain security assessments
- Users of Claude Desktop, Cursor, or VS Code
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| Not for | - Users who want a zero-config, officially hosted remote MCP service
- ChatGPT workspaces that cannot enable Developer mode and custom MCP apps
- Anyone needing a true OS-level sandbox: commands run with your logged-in user privileges and desktop control is not folder-scoped
- Linux environments without a Secret Service keyring such as GNOME Keyring or KWallet
| - Looking up internal/private codebase documentation (Context7 targets publicly published open-source libraries)
- Cases needing very high coverage of obscure, niche libraries (coverage depends on what Context7's platform has indexed)
| - 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
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| Required permissions | - File read/write limited to folders you approve in Settings → Workspace, with paths validated and canonicalised first
- Command execution as your logged-in user, not folder-sandboxed
- Desktop control (on by default on Windows, opt-in on macOS with Screen Recording and Accessibility grants) applying to the whole desktop
- Browser extension running only on chatgpt.com, chat.openai.com and the app's loopback bridge, recording conversation state locally
- OS secret storage: DPAPI on Windows, Keychain on macOS, libsecret or KWallet on Linux
- Networking: a loopback-only MCP server behind a random secret path plus the tunnel you configure
| - Usable without an API key (subject to a free-tier rate limit); CONTEXT7_API_KEY is an optional credential for higher quota
- Read-only documentation lookup — no code execution or local filesystem access involved
| - 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
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| Risks and side effects | - Command execution runs with normal user privileges and is application-level containment, not an OS sandbox; same-user filesystem races remain possible
- With desktop control enabled, actions affect the entire machine, beyond your project folders
- The extension observes ChatGPT's web UI and multi-agent mode opens and types into extra ChatGPT tabs; this is not a documented public automation API and your account's terms, rate limits and permitted-use policies may apply
- Builds are not publisher-signed and macOS builds are not notarized, so SmartScreen, Gatekeeper or the browser will warn; verify SHA256SUMS.txt first
- Any public tunnel URL should be treated as a password; leaking it exposes the local MCP server
- Multi-agent mode and automatic generation consume additional ChatGPT or API quota
| - The free tier has limited quota — high-frequency use may hit rate limits
- Documentation content comes from Context7's platform index, so its accuracy and freshness depend on that platform's crawl cadence
| - 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
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| Supported clients | ChatGPT | Claude Code, VS Code, Cursor, Cline, Amp | Claude Desktop, VS Code, Cursor, Smithery.ai |
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| Tools | 12 | 2 | 19 |
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