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Answer questions from documents with multi-agent RAG and human approval.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Knowledge Assistant MCP Server" yet — see the docs or source repo.
Using the employee handbook, expense policy, and leave process documents I uploaded, answer: What materials are required for travel reimbursement? Retrieve relevant passages first and ask for my approval before finalizing the answer.
Provides supporting document passages, a draft answer for approval, and the final approved response.
Based on this set of papers and project notes, answer “What are the main limitations of current methods?” Combine multiple sources and show me a summary for confirmation before giving the final conclusion.
Outputs multi-source retrieval results, a synthesized summary, a human confirmation step, and the final conclusion.
Answer from the PRD, release notes, and FAQ: What permission configurations are supported in the new version? If sources conflict, highlight the differences and wait for my approval before the final answer.
Returns relevant document excerpts, conflict notes, an approvable answer draft, and the final confirmed result.
Production-ready MCP server for query normalization, retrieval, and RAG prompt building.
Expose modular retrieval and reasoning tools to AI assistants through MCP.
Secure internal knowledge retrieval with permission-aware access control and citation enforcement.
Turn unstructured documents into a searchable knowledge base for AI agents.
Query knowledge bases, search documents, and inspect reasoning chains via MCP.
Centralize knowledge, run semantic search, ingest documents, and generate RAG answers.