$ loading_
Connect local RAG knowledge retrieval to code editors through MCP.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Corpus-KB" yet — see the docs or source repo.
Please connect to Corpus-KB, retrieve code, docs, and configs related to the user authentication flow in this repository, and summarize the login logic, key file paths, and likely extension points.
A retrieval-grounded summary listing relevant files, implementation flow, and suggested modification points.
Use Corpus-KB to retrieve modules, historical docs, and dependency notes related to this error stack trace, analyze the most likely root cause, and provide a troubleshooting order.
An error analysis grounded in repository context, including root-cause hypotheses and step-by-step troubleshooting advice.
Through Corpus-KB, retrieve the current module's interface definitions, usage examples, and architecture notes, then generate a new data access function that matches the existing style.
A draft function generated from repository style and knowledge-base context, with dependency notes.
Search code and technical docs privately with local-first RAG for developers.
Turn unstructured documents into a searchable knowledge base for AI agents.
Intelligent RAG tool that chooses between private knowledge and web search.
Search local codebases semantically with hybrid retrieval for faster code discovery.
Search and add traceable RAG knowledge for each project workspace.
Build and query vector knowledge bases for semantic search and RAG workflows.