{"id":"xenodocs-mcp-server","name":"xenodocs-mcp-server","homepage":"https://pypi.org/project/xenodocs-mcp-server/","repo_url":"https://github.com/Xenodocs/xenodocs-mcp-server","category":"ai-ml","subcategories":[],"tags":["mcp","documentation","rag","developer-tools","ai-assistants","python"],"what_it_does":"xenodocs-mcp-server is an MCP server that lets an AI agent query a documentation database for up-to-date, version-specific documentation and code examples for Python (and potentially other) libraries. It exposes MCP tools to search for libraries by name and to search within a library’s docs for a query.","use_cases":["Answer questions about library APIs using current, version-specific documentation","Find code examples (e.g., async usage, middleware/auth patterns) for a given library","Reduce hallucinations by grounding responses in retrieved documentation snippets","Support developer assistants in interactive documentation search during implementation"],"not_for":["Replacing a full API reference or guaranteeing correctness without retrieval","Handling production authentication/authorization for your own systems (it is a documentation retrieval tool)","Use as a general-purpose web search engine","Environments that cannot provide or protect an API key"],"best_when":"When you need an agent to reliably fetch documentation/code examples for a specific library and query during coding or debugging.","avoid_when":"When you require strict offline operation, have no ability to store/use an API key securely, or cannot tolerate latency/failures inherent to external documentation lookup.","alternatives":["Use official library docs directly (manual or scripted scraping where permitted)","Search engines plus targeted documentation filtering","Other MCP documentation/retrieval servers (e.g., doc-indexing + vector search tools) deployed in your own environment","RAG solutions over locally mirrored documentation sets"],"af_score":60.8,"security_score":57.8,"reliability_score":28.8,"package_type":"mcp_server","discovery_source":["pypi"],"priority":"low","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-04-04T21:38:16.592816+00:00","interface":{"has_rest_api":false,"has_graphql":false,"has_grpc":false,"has_mcp_server":true,"mcp_server_url":null,"has_sdk":false,"sdk_languages":[],"openapi_spec_url":null,"webhooks":false},"auth":{"methods":["API key via environment variable XENODOCS_API_KEY"],"oauth":false,"scopes":false,"notes":"Authentication appears to be via an API key provided to the MCP server process (env var). No OAuth or explicit scope model is described in the README."},"pricing":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":"The README indicates an account and API key are required, but does not describe pricing tiers, free tier, or cost model."},"requirements":{"requires_signup":true,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":60.8,"security_score":57.8,"reliability_score":28.8,"mcp_server_quality":70.0,"documentation_accuracy":75.0,"error_message_quality":0.0,"error_message_notes":"README mentions common troubleshooting messages (e.g., missing API key warning and command-not-found guidance) but does not describe structured error formats/codes for MCP tool calls.","auth_complexity":85.0,"rate_limit_clarity":10.0,"tls_enforcement":80.0,"auth_strength":55.0,"scope_granularity":20.0,"dependency_hygiene":60.0,"secret_handling":75.0,"security_notes":"README instructs API key usage via environment variable, which helps avoid committing secrets. However, there is no described scope/least-privilege model, no mention of TLS in documentation, and dependency security practices/CVE status are not provided in the supplied materials.","uptime_documented":0.0,"version_stability":45.0,"breaking_changes_history":30.0,"error_recovery":40.0,"idempotency_support":"false","idempotency_notes":"Tools appear to be read-only searches, which are typically idempotent, but the README does not explicitly state idempotency guarantees or any caching behavior.","pagination_style":"none","retry_guidance_documented":false,"known_agent_gotchas":["Ensure XENODOCS_API_KEY is set in the MCP client’s environment for the stdio server process.","Some installation modes may fail with 'command not found' if the working directory lacks pyproject.toml (uv-project case).","Tool outputs are dependent on the indexed documentation database; library-name matching may require partial/exact names."]}}