kb-agent-platform
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@kb-agent-platformWhat are the key points from the Q3 roadmap?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
KB-Agent-Platform — Enterprise Knowledge Base Q&A Platform (RAG + Multi-Agent + MCP)
In one sentence: an enterprise knowledge base Agent based on RAG and LangGraph Supervisor, with SSE streaming Q&A with citation tracing, dual MCP entry points, and one-click deployment via docker compose.
Architecture
Frontend Vue3 ──SSE──> FastAPI ──> Supervisor (LLM routing) ──┬─> KB Agent ──> Qdrant (4096-dim)
└─> Chat Agent
MCP Host (Cursor/Claude) ──stdio──> MCP Server ──> same Qdrant

Related MCP server: tero-mcp-lite
Quick Start
https://github.com/embracingTheFuture/kb-agent-platform.git && cd kb-agent-platform
cp .env.example .env # fill in your key
docker compose up --build -d
docker compose run --rm api python task2_pipeline.py # ingest data
Screenshots

Quality: Evaluation Set Regression
6 test cases covering routing correctness + citation integrity, reproducible inside the container.
ID | First 15 characters | Expected | Actual | Passed |
ID: 1 | First 15 characters: Phase 2 schedule and main project positioning. | Expected: KB | Actual: KB | PASS |
ID: 2 | First 15 characters: What Day16 in the roadmap is for | Expected: KB | Actual: KB | PASS |
ID: 3 | First 15 characters: Introduce yourself in one sentence. | Expected: CHAT | Actual: CHAT | PASS |
ID: 4 | First 15 characters: Help me write a poem about autumn. | Expected: CHAT | Actual: CHAT | PASS |
ID: 5 | First 15 characters: How many medals did Team China win at the 2024 Olympics | Expected: CHAT | Actual: CHAT | PASS |
ID: 6 | First 15 characters: | Expected: CHAT | Actual: CHAT | PASS |
6 test cases, 6 passed, 0 failed |
Technical Highlights
Handwritten ReAct core (tool registry + while loop, no framework)
Self-developed chunking-vectorization-retrieval pipeline, Qdrant cosine similarity
Citation tracing: numbered context + [i] annotations + citations structure
Supervisor multi-agent routing + conversation memory compression (rolling summary)
MCP Server dual entry points / SSE streaming / evaluation set regression
This server cannot be deployed
Maintenance
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