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Composable MCP tools for querying, indexing, classifying, and extracting document intelligence.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "consulting-mcp-server" yet — see the docs or source repo.
Use this MCP tool to first index this project document library, then answer: 'How are payment milestones and breach liabilities defined in the contract?' Include source citations.
A sourced answer with citations, plus an indexed document set for future queries.
Classify the documents in this folder into contracts, invoices, proposals, and meeting notes, and output each file's label with confidence scores.
A per-document classification list with confidence scores for downstream filing.
Extract company name, contact person, quoted amount, and delivery timeline from these vendor documents, then assess completeness and list missing fields.
Structured extracted fields along with a completeness assessment and missing-item notes.
Turn unstructured documents into a searchable knowledge base for AI agents.
Index documents and retrieve relevant context for better LLM responses.
Production-ready MCP server for query normalization, retrieval, and RAG prompt building.
Enable MCP apps to process, retrieve, and query multimodal documents with RAG.
Index PDFs into Qdrant and enable semantic search and RAG document QA.
Let AI securely query private local documents with persistent memory.