MCP Servers Collection
by syedair
This repository provides a collection of Model Context Protocol (MCP) servers designed for use with LLMs like Amazon Q and Claude Desktop. These servers extend LLM capabilities by providing additional tools and resources.
Last updated: N/A
What is MCP Servers Collection?
This is a collection of Model Context Protocol (MCP) servers. MCP is an open protocol that standardizes how applications provide context to LLMs, enabling communication between the system and locally running servers that offer additional tools and resources.
How to use MCP Servers Collection?
To use these MCP servers, you need to configure your LLM (e.g., Amazon Q or Claude Desktop) to recognize and communicate with the server. This typically involves creating a configuration file (e.g., mcp.json) that specifies the server's command, arguments, and environment variables. Refer to the README for specific instructions for each LLM.
Key features of MCP Servers Collection
Exposes trading operations via Capital.com API
Allows searching for markets (e.g., EURUSD, AAPL)
Enables getting account information and positions
Supports creating and managing trading positions
Provides access to watchlists
Supports automated building and publishing via GitHub Actions
Use cases of MCP Servers Collection
Integrating trading capabilities into LLM workflows
Providing real-time market data to LLMs
Automating trading tasks through LLM interactions
Extending LLM functionality with custom tools and resources
FAQ from MCP Servers Collection
What is MCP?
What is MCP?
Model Context Protocol (MCP) is an open protocol that standardizes how applications provide context to LLMs.
What LLMs are supported?
What LLMs are supported?
Currently, the servers are designed for use with Amazon Q and Claude Desktop, but any LLM supporting the MCP protocol should be compatible.
How do I install the MCP servers?
How do I install the MCP servers?
Each MCP server is a separate Python package. You can install them using uv pip install from within the server's directory.
How do I configure my LLM to use the MCP servers?
How do I configure my LLM to use the MCP servers?
You need to create a configuration file (e.g., mcp.json) in your LLM's configuration directory, specifying the server's command, arguments, and environment variables. Refer to the README for specific instructions for each LLM.
How do I add a new MCP server to this collection?
How do I add a new MCP server to this collection?
Create a new directory under src/ with your server name, add the necessary files for your MCP server implementation, include a pyproject.toml and setup.py in the server directory, and add a README.md with usage instructions.