| FMRS | 60 / 100 · C | 80 / 100 · B | 79 / 100 · B |
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| Reliability | 10 / 20 | 14 / 20 | 12 / 20 |
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| Security and permissions | 9 / 20 | 16 / 20 | 16 / 20 |
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| Maintenance | 12 / 20 | 17 / 20 | 18 / 20 |
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| Documentation | 16 / 20 | 15 / 20 | 18 / 20 |
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| Setup experience | 13 / 20 | 18 / 20 | 15 / 20 |
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| Best for | - 1C:Enterprise projects with CF, EDT, or MDO source formats
- Large configurations with 20K+ files that cannot fit into a single session context
- Deterministic codebase questions, e.g. finding an HTTP service and its methods or how a document posting routine works
- Teams that want to save context and tokens and avoid maintaining RAG infrastructure
| - 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 | - Scenarios needing a complete dependency graph of all configuration objects (requires a pre-indexed RAG/graph MCP)
- Semantic/embedding search over object descriptions
- Vague, non-deterministic questions like 'how does budgeting work in ERP' or 'how do cellular warehouses work in UT', which need full RAG or a strong model to turn them into strict queries
- Treating it as an official 1C product: it is not maintained by 1C
| - 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 | - Read 1C source directories (BSL files, XML/MDO descriptions, metadata)
- Write and manage SQLite index files on the host
- Read and modify the projects.json registry next to the server directory (mutating operations require a password)
- Execute agent-submitted Python scripts inside a sandbox
- Optional access to an LLM endpoint (OpenAI-compatible OpenRouter, Ollama, vLLM, or the Anthropic API), only when llm_query is configured
- Optional use of Git on the host to read the source repository (enables git_search)
| - 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 | - Agent-submitted Python scripts are executed in a sandbox whose real strength determines the host's exposure surface
- A .git directory in the sources automatically enables git grep full-text search over all files, which may surface 'raw' XML/MDO and text content developers did not expect to expose
- When llm_query is configured, script content or code fragments may be sent to an external LLM endpoint
- The registry password protects mutating operations to stop the AI acting without confirmation, but it is not strong encryption or isolation
- Indexing is slow on HDDs or network shares, and indexes persist code content read from disk
| - 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 | Claude Code, Kilo Code, Roo Code, Cursor | Claude Code, VS Code, Cursor, Cline, Amp | Claude Desktop, VS Code, Cursor, Smithery.ai |
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| Tools | 6 | 2 | 19 |
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