About mcp-agent-tool-adapter
mcp-agent-tool-adapter turns MCP tools into agents built with Google ADK or LangGraph. It includes streaming and CLI interfaces, with an MCP client that manages server processes, sessions, tool adaptation, and cleanup.
Key features
- 01Google ADK agent support
- 02LangGraph ReAct agent support
- 03Streaming FastAPI interface
- 04CLI chat interfaces
- 05MCP server and session management
Use cases
- 01Run a CLI agent with configured MCP tools
- 02Choose Google ADK or LangGraph for tool use
- 03Serve an agent through streaming FastAPI
MCP support
The MCP client starts configured MCP servers, manages sessions, adapts their tools for Google ADK or LangGraph, and cleans up resources.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project README
mcp-agent-tool-adapter
From Protocol to Intelligence: Powering Agents with MCP.
📍 Overview
MCP Agent Tool Adapter enables modular tool invocation via the MCP protocol, and provides agents that can dynamically reason with tools using either Google ADK or LangGraph.
This project transforms MCP tools into:
- 🤖 Google ADK-based agents with streaming FastAPI or CLI interfaces
- 🧠 LangGraph-based agents that use ReAct + streaming tool planning
🧱 Project Structure
mcp-agent-tool-adapter/
├── mcp_client/ # Core client implementation (modular)
│ ├── client.py # MCPClient & MCPServer
│ ├── tool_loader.py # High-level async loader
│ └── types.py # Shared type definitions
├── app_client_adk.py # Google ADK agent + CLI chat
├── app_client_langgraph.py # LangGraph agent + ReAct CLI chat
├── mcp_config.json # Example MCP tool config
├── requirements.txt # Dependencies
└── README.md
🚀 Getting Started
☑️ Prerequisites
- Python 3.10+
⚙️ Installation
# Clone this repository
❯ git clone https://github.com/serkanyasr/mcp-agent-tool-adapter
❯ cd mcp-agent-tool-adapter
# Install dependencies
❯ pip install -r requirements.txt
🤖 Usage
Run Google ADK CLI agent:
❯ python app_client_adk.py
Run LangGraph ReAct CLI agent:
❯ python app_client_langgraph.py
Ensure your mcp_config.json defines tools like:
{
"mcpServers": {
"filesystem": {
"command": "npx",
"args": ["@modular-protocol/filesystem"]
}
}
}
🧠 Tool Architecture
MCP tools are connected to agents through MCPClient, which handles:
- Tool server spawning (via subprocess)
- Session management
- Tool adaptation (langgraph or Google ADK)
- Cleanup
You can dynamically swap agent type by changing tool_type to "google" or "langgraph" in your app.
🧪 Development / Contributing
- Fork the repo and create feature branches.
- Submit a PR with a description of your changes.
- Tag @serkanyasr in issues or PRs.
We welcome contributions in:
- 🧩 new MCP tool adapters
- 🧠 multi-agent LangGraph use cases
- 🛠️ OpenAPI / streaming support
🎗 License
This project is licensed under the MIT License.For more details, refer to the LICENSE file.
Comments
New to MCP?
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