MCP Agent Template

A collection of minimal, production-ready starter projects for building multi-agent and retrieval-augmented AI workflows.
This agent includes three main components:

• mcp-docs-server: Exposes a folder of documents as a tool via REST API and optional MCP agent integration.
• website-qa-bot: Retrieval-Augmented Generation (RAG) Q/A bot for websites and documents, with Pinecone and OpenAI integration.
• multi-agent-workflow: Demonstrates multi-agent orchestration for collaborative AI tasks.

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Projects Overview

1. mcp-docs-server

• FastAPI server to serve documents from a local folder.
• REST endpoints for listing and retrieving documents.
• Optional MCP integration via fastmcp for agent workflows.

2. website-qa-bot

• Upload text or PDF files, store embeddings in Pinecone.
• Semantic search and context-aware answers using OpenAI LLM.
• FastAPI backend with endpoints for ingestion and querying.

3. multi-agent-workflow

• Orchestrates multiple AI agents (Researcher, Summarizer, Planner).
• Demonstrates agent collaboration for solving tasks.
• OpenAI integration for summarization, mock mode available.

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Setup

1. Clone this repository and navigate to the desired project folder.
2. Copy .env.example to .env in each project and add your API keys.
3. Install dependencies for each project:

   pip install -r requirements.txt
   

4. Run the server for each project (see individual README files for details).

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File Tree

MCP Agent Template/
├─ mcp-docs-server/
│  ├─ app/
│  │  ├─ server.py
│  │  ├─ mcp_adapter.py
│  │  ├─ docs/
│  │  │  ├─ README.md
│  │  │  └─ sample-doc.md
│  ├─ requirements.txt
│  ├─ .env.example
│  ├─ README.md
├─ website-qa-bot/
│  ├─ app/
│  │  ├─ main.py
│  │  ├─ ingest.py
│  │  ├─ query.py
│  │  ├─ utils.py
│  ├─ requirements.txt
│  ├─ .env.example
│  ├─ README.md
├─ multi-agent-workflow/
│  ├─ app/
│  │  ├─ agents.py
│  │  ├─ orchestrator.py
│  ├─ requirements.txt
│  ├─ .env.example
│  ├─ README.md