context7

Context7 resolves library names to official documentation by matching package identifiers across npm and PyPI ecosystems, then fetches targeted API references and guides with trust scoring to surface the most relevant results.

Yes. Context7 fetches library docs with topic-focused queries—specify topics like 'getting started' or 'API reference'—and returns multiple results ranked by trust score and snippet relevance for precise section retrieval.

Context7 follows a THINK → RESOLVE → FETCH → APPLY workflow: resolve the library name to a Context7 ID, select the correct package source, fetch docs with your topic and token budget (3K–20K), then apply results to your implementation.

Context7 maps library names to ecosystem-specific IDs, disambiguating between similarly named packages across npm and PyPI by applying trust scores and ecosystem context to surface the correct official documentation source.

Yes. Context7 supports token scaling (3K–20K) to adjust retrieval depth and snippet-count parameters to filter results, letting you balance comprehensiveness against token usage for your documentation queries.

Context7 resolves and fetches documentation for libraries in official npm and PyPI ecosystems using MCP tools with trust scoring. Private repositories and unofficial sources fall outside the supported Context7-enabled ecosystems.