About Agent Template
Agent Template is an MCP server published by bigshark002 in the Developer Tools category: π€ Build multi-agent, retrieval-augmented AI workflows with ready-to-use components for document serving, Q/A bots, and agent orchestration.
The repository has 14 stars and 1 forks, with the last commit 8 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.
Install
git clone https://github.com/bigshark002/MCP-Agent-TemplateThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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- βREADME presentThe repository ships documentation.
- !License declaredNo license file. Legally you have no right to use it in a product.
- !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
- !Dependencies pinnedNo lockfile. Installs can pull different code over time.
- βNo dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
- !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.
README
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.
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
fastmcpfor 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.
Setup
- Clone this repository and navigate to the desired project folder.
- Copy
.env.exampleto.envin each project and add your API keys. - Install dependencies for each project:
pip install -r requirements.txt - Run the server for each project (see individual README files for details).
File Tree
MCP Agent Template/
ββ mcp-docs-server/
β ββ app/
β β ββ server.py
β β ββ mcp_adapter.py
β β ββ docs/
β β β ββ README.md
β β β ββ sample-doc.md
β ββ requirements.txt
β ββ .env.example
β ββ README.md
ββ website-qa-bot/
β ββ app/
β β ββ main.py
β β ββ ingest.py
β β ββ query.py
β β ββ utils.py
β ββ requirements.txt
β ββ .env.example
β ββ README.md
ββ multi-agent-workflow/
β ββ app/
β β ββ agents.py
β β ββ orchestrator.py
β ββ requirements.txt
β ββ .env.example
β ββ README.md
README fetched from the repository 4 hours ago. The original is authoritative.