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This repository hosts a collection of MCP (Model Context Protocol) servers under FeedMob. Each server provides a domain-specific context or data source to help AI models interpret and interact with particular datasets or APIs (e.g., advertising reporting, content management, workflow automation, security tooling, and more). To use these servers, you typically run the server implementation relevant to your needs and connect your MCP client or agent to its endpoints. Since this repository contains many distinct servers, you’ll want to select the specific server directory that matches the data source you want to access (for example, a reporting integration or a content management workflow) and run that server using its supported execution method. The documentation inside each server’s directory details the exact capabilities and integration notes for that server.

In practice, you’ll utilize the MCP endpoints exposed by the running server to query data, fetch reports, or trigger actions. The servers support a variety of capabilities such as searching, retrieving, or streaming data, and may offer authentication, filtering, and formatting options. Depending on the server you choose, you may interact with REST APIs, GraphQL-like interfaces, or custom endpoints. If you’re orchestrating multiple servers, you can configure your MCP client to direct requests to the appropriate server based on the data domain (advertising, content management, security, etc.).

Prerequisites:

• Git installed
• Access to the internet to fetch dependencies
• Depending on the server you intend to run, you may need Node.js, Python, Docker, or other runtimes installed on your machine.

Install steps (generic):

1. Clone the repository: git clone https://github.com/your-organization/feed-mob-fm-mcp-servers.git cd feed-mob-fm-mcp-servers

2. Identify the server you want to run (e.g., src/feedmob-reporting, src/iplocate, etc.). Navigate to that directory to install its dependencies.

3. Install dependencies for the selected server:

   • If the server uses Node.js:
     • Ensure Node.js is installed (https://nodejs.org/)
     • Run: npm install
   • If the server uses Python (uv/uvx):
     • Ensure Python is installed (https://www.python.org/)
     • Create a virtual environment and install requirements, e.g.: python -m venv venv source venv/bin/activate # on Windows use venv\Scripts\activate pip install -r requirements.txt
   • If the server provides a Docker image:
     • Ensure Docker is installed (https://www.docker.com/)
     • Follow the repository’s Docker instructions for that server.

4. Configure environment variables if required. Check the server’s README inside its directory for any required ENV vars (e.g., API keys, base URLs, or authentication tokens).

5. Run the server:

   • For Node.js based servers: node path/to/server.js or npm start (as documented in the server README)
   • For Python/uvx based servers: uvx path.to.module or python -m module as documented
   • For Docker-based servers: docker run with the specified image and run parameters as documented

6. Verify the server is running by hitting its health or status endpoint as described in the server’s documentation, or by checking the console logs.

Tips:

• Each server is a separate component with its own dependencies and configuration. Start by selecting a single server to integrate with your MCP workflow, then expand to additional servers as needed.
• Look for environment variables or config files in each server’s directory to understand required credentials and endpoints.
• If you encounter port conflicts, adjust the server’s port in its configuration or run it in a containerized environment.
• Some servers support multiple data formats (CSV, JSON, etc.). Check the available export formats and choose the one that best fits your use case.
• When integrating multiple servers, consider a routing layer or an orchestration script to direct requests to the appropriate server based on the data domain.
• Ensure you follow the license terms (MIT) and review any data access policies for the APIs and data sources you connect to.