Install
$ agentstack add mcp-serkanyasr-mcp-agent-tool-adapter ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ● Shell / process execution Used
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
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Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
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.
Source & license
This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: serkanyasr
- Source: serkanyasr/mcp-agent-tool-adapter
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.