About Langgraph Agents
Langgraph Agents is an MCP server in the Agents category: build MCP servers with FastMCP and connect them to any LLM. Includes API server, browser automation and integration with LangChain using mcp-use.
Install
git clone https://github.com/SumanMadipeddi/mcp-langgraph-agentsThis 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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README
MCP Server & LLM Integration
A practical guide to building MCP servers with FastMCP and integrating them with any LLM using mcp-use.
Project Structure
server/- Basic weather MCP server using STDIO transportmcpserver/- Weather MCP server with SSE/HTTP transport, includes client examples and Streamlit UImcpagent/- Simple MCP servers (math and weather) for agent integration examplesgraph_agent/- LangGraph integration examplesmain.ipynb- Weather tool agent with LangSmith monitoringmain.py- Competitor ads flow analysis using Playwright and DuckDuckGo search MCP servers
app.py- Browser automation example using mcp-use with Groq LLM
Quick Start
# Install UV (if needed)
powershell -c "irm https://astral.sh/uv/install.ps1 | iex"
curl -LsSf https://astral.sh/uv/install.sh | sh
# Install dependencies
uv sync
# Create .env file
echo "GROQ_API_KEY=your_key_here" > .env
echo "GEMINI_API_KEY=your_key_here" >> .env
# Run the weather MCP server
uv run python server/weather.py
# Run the LLM agent (in another terminal)
uv run python app.py
Resources
- MCP Spec: https://spec.modelcontextprotocol.io/
- FastMCP: https://github.com/jlowin/fastmcp
- mcp-use: https://github.com/ergut/mcp-use
- LangChain: https://python.langchain.com/
- LangGraph: https://docs.langchain.com/oss/python/langgraph/overview
- UV Docs: https://docs.astral.sh/uv/
README copy captured when this server was indexed; it may lag the repository. The original is authoritative.