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Helps AI coding agents search docs and query constraints accurately.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "corpuskit" yet — see the docs or source repo.
Use corpuskit's kr_search to find documentation about middleware configuration in a web framework, then summarize key parameters, default values, and common examples.
Returns relevant documentation results plus a concise summary of configuration points, parameter details, and examples.
Use corpuskit's kr_constraints to query this project's implementation constraints, including banned dependencies, code style requirements, and API limitations.
Outputs a list of project constraints so development boundaries and standards are clear upfront.
Before generating code for a new feature, use corpuskit to search relevant internal docs and query constraints, then propose an implementation plan based on the findings.
Provides retrieved documentation and constraints first, then offers implementation advice aligned with docs and rules.
Connect local RAG knowledge retrieval to code editors through MCP.
Enable agents to search synced code repositories with fast AI-powered retrieval.
Let AI coding agents search local code by meaning, not exact keywords.
Give AI coding agents persistent local knowledge, search, and structured context.
Search and navigate multiple code repositories with natural language understanding.
Serve local knowledge bases to MCP agents for search, listing, and document retrieval.