Custom MCP Tooling

Develop and deploy bespoke functions, via the Model Context Protocol (MCP), to extend LLMs like Claude and Gemini with specialized, real-world capabilities.

Custom MCP Tooling is the direct path to augmenting your AI agents: it uses the Model Context Protocol (MCP) to standardize how LLMs access external systems. This architecture allows you to build custom servers that expose specific functions—like a `list_repo_locations` tool for a codebase or a controlled `issue_terminal_command`—eliminating the need for custom integrations. We deploy these tools to a dedicated MCP server, instantly giving your LLM a unified interface to execute complex, real-time actions against private data sources or APIs.

https://github.com/princefishthrower/mcp-server