ganeshkotaslu-mcp-rfp-rag-copilot

MCP RFP RAG Copilot

A practical MCP plus RAG project that drafts grounded enterprise RFP answers with citations and approval checks.

Business Outcome

• Faster RFP turnaround
• Better response consistency
• Lower legal and commercial policy risk

Technical Highlights

• Local retrieval engine for markdown knowledge corpus
• Dedicated MCP servers for retrieval, pricing policy, and approvals
• Orchestrator agent that composes tool outputs into one answer
• Evaluation checks for grounding quality
• CI and release workflows for production-style delivery

Project Structure

• src/rfp_rag_copilot/rag: local retriever implementation
• src/rfp_rag_copilot/mcp_servers: MCP tool servers
• src/rfp_rag_copilot/mcp_client: MCP multi-server client
• src/rfp_rag_copilot/agent: orchestration and evaluation
• data/knowledge_base: RAG corpus
• tests: retriever and orchestrator tests

Quick Start

1. Create virtual environment and activate it.
2. Install dependencies:

pip install -r requirements.txt

1. Run demo:

python run_demo.py

Test and Lint

ruff check .
pytest -v

Example Scenario

Question:

• Do you support GDPR data residency and can we get 30 percent discount?

Expected behavior:

• Retrieves security and commercial documents
• Cites evidence in answer
• Flags approval needed if discount exceeds policy or legal risk detected

Architecture Doc

See docs/architecture.md.