LangGraph Coding Agent Team with MCP
This project implements a small team of coding agents using LangGraph and the Model Context Protocol (MCP). The agents use MCP servers to provide tools and capabilities through a unified gateway.
The overall objective of this agent team is to take requirements and code context and create multiple implementations of proposed features; human operators can then choose their preferred approach and proceed, discarding the others.
This project originated from the Anthropic MCP Hackathon in NYC on 12/11/2024 and has since evolved into its own standalone project.
Architecture
The system consists of three main components:
- MCP Gateway Server: A server that:
- MCP Servers: Individual servers that provide specific capabilities:
- Coding Agents: There are three agents that collaborate to accomplish coding tasks:
Getting Started
1. Install Dependencies
2. Configure Environment Variables
The agent supports multiple LLM providers through environment variables:
3. Configure MCP Servers
The gateway server is configured through
gateway/config.json. By default, it starts two MCP servers:You can add more servers from the official MCP servers repository.
4. Start the Gateway Server
The server will start on port 8808 by default.
5. Configure the Agent
The agent's connection to the gateway is configured in
langgraph.json:6. Use the Agent
Open the folder in LangGraph Studio! The agent will automatically:
- Connect to the gateway server
- Discover available tools
- Make tools available for use in conversations
Available Tools
The agent has access to tools from both MCP servers:
Filesystem Tools
read_file: Read file contents
write_file: Create or update files
list_directory: List directory contents
search_files: Find files matching patterns
- And more...
Memory Tools
create_entities: Add entities to knowledge graph
create_relations: Link entities together
search_nodes: Query the knowledge graph
- And more...
Development
Adding New MCP Servers
- Find a server in the MCP servers repository
- Add its configuration to
gateway/config.json
- The agent will automatically discover its tools
Customizing the Agent
- Modify the system prompt in
src/react_agent/prompts.py
- Update the agent's reasoning in
src/react_agent/graph.py
- Add new capabilities by including more MCP servers
Documentation
License
This project is licensed under the MIT License - see the LICENSE file for details.
LangGraph Coding Agent Team with MCP
This project implements a small team of coding agents using LangGraph and the Model Context Protocol (MCP). The agents use MCP servers to provide tools and capabilities through a unified gateway.
The overall objective of this agent team is to take requirements and code context and create multiple implementations of proposed features; human operators can then choose their preferred approach and proceed, discarding the others.
This project originated from the Anthropic MCP Hackathon in NYC on 12/11/2024 and has since evolved into its own standalone project.
Architecture
The system consists of three main components:
- MCP Gateway Server: A server that:
- MCP Servers: Individual servers that provide specific capabilities:
- Coding Agents: There are three agents that collaborate to accomplish coding tasks:
Getting Started
1. Install Dependencies
2. Configure Environment Variables
The agent supports multiple LLM providers through environment variables:
3. Configure MCP Servers
The gateway server is configured through
gateway/config.json. By default, it starts two MCP servers:You can add more servers from the official MCP servers repository.
4. Start the Gateway Server
The server will start on port 8808 by default.
5. Configure the Agent
The agent's connection to the gateway is configured in
langgraph.json:6. Use the Agent
Open the folder in LangGraph Studio! The agent will automatically:
- Connect to the gateway server
- Discover available tools
- Make tools available for use in conversations
Available Tools
The agent has access to tools from both MCP servers:
Filesystem Tools
read_file: Read file contents
write_file: Create or update files
list_directory: List directory contents
search_files: Find files matching patterns
- And more...
Memory Tools
create_entities: Add entities to knowledge graph
create_relations: Link entities together
search_nodes: Query the knowledge graph
- And more...
Development
Adding New MCP Servers
- Find a server in the MCP servers repository
- Add its configuration to
gateway/config.json
- The agent will automatically discover its tools
Customizing the Agent
- Modify the system prompt in
src/react_agent/prompts.py
- Update the agent's reasoning in
src/react_agent/graph.py
- Add new capabilities by including more MCP servers
Documentation
License
This project is licensed under the MIT License - see the LICENSE file for details.