Test-MCP

fbedoyao/Test-MCP

3.1

If you are the rightful owner of Test-MCP and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to dayong@mcphub.com.

The Model Context Protocol (MCP) server facilitates communication between language models and various clients, enabling seamless integration and orchestration of AI-driven tasks.

  1. Create and activate virtual environment: python -m venv venv
  2. Activate virtual environment: ./.venv/Scripts/activate
  3. Install requirements: pip install -r requirements.txt
  4. Run MCP Server on port 8000: fastmcp run sample_server.py:mcp --transport http --port 8000
  5. Update agent.py to use any language model. Currently defaults to phi-3.5-mini SLM running locally via FoudryLocal service
  6. Update tools or connections to mcp servers as needed
  7. Update orchestrating prompt as needed
  8. Run Agent orchestrator: python sample_agent.py

SAMPLE FLOW

User Prompt -> Agent -> Language Model -> MCP Client -> Custom MCP Server -> Language Model -> Output