Test MCP Feb4

This MCP server provides controlled access to the Test MCP Feb4 API, enabling AI agents and language models to interact with the API through standardized tools and endpoints. It supports Docker deployment, asynchronous handling, and straightforward integration with MCP clients for efficient tool usage.

How to use

You connect to the MCP server from your MCP client using the standard MCP URL path. Once connected, you can discover available tools, invoke them with your queries, and receive structured results suitable for automating workflows or enabling AI agents to act on API capabilities.

How to install

Prerequisites you need before installing include Docker for container-based deployment and Python tooling for manual setup. Follow these concrete steps to get up and running.

# 1) Install Docker (follow platform-specific instructions on Docker's site)
# 2) Clone the repository
git clone https://github.com/Traia-IO/test-mcp-feb4-mcp-server.git
cd test-mcp-feb4-mcp-server

# 3) Recommended: start with Docker using the provided helper script
./run_local_docker.sh

# 4) If you prefer Docker Compose
# Create an environment configuration file

If you want to run the server manually without Docker, use the Python-based workflow described below.

# 1) Install dependencies and run the server in a Python environment
uv pip install -e .

# 2) Start the server
uv run python -m server

Deployment considerations

Environment variables and deployment options are outlined to help you adapt the server for different environments, including local development and cloud hosting.

Key environment variables you may configure include the following. PORT sets the listening port, STAGE indicates the deployment stage, and LOG_LEVEL controls log verbosity.

Configuration and deployment notes

The server can be deployed in containerized environments for isolation and easier scaling. For cloud hosting, the recommended path is to containerize the application and deploy to your chosen platform. The default internal MCP endpoint is exposed at the path /mcp.

If you are testing locally, you can point a client to the local endpoint at http://localhost:8000/mcp/ to exercise the MCP tools and verify health.

Troubleshooting

If the server fails to start, inspect container logs or console output for errors related to dependencies or port binding. Common issues include missing dependencies, port conflicts, or misconfigured environment variables.

For connection problems, verify that the server is reachable on the expected port and that the MCP URL path matches /mcp.

Notes on tools and extensions

The server exposes a set of features compatible with the MCP framework, including the ability to add and test tools that integrate with the Test MCP Feb4 API. When you implement new tools, ensure they conform to the MCP tool pattern and update the deployment configuration to reflect the new tool names.

Available tools

example_tool

Placeholder tool representing a Test MCP Feb4 API tool to be implemented