Why this server?

This server allows you to connect MCP clients with [Toolhouse](https://toolhouse.ai/)'s tools.

Why this server?

MCP Server provides a simpler API to interact with the Model Context Protocol by allowing users to define custom tools and services to streamline workflows and processes.

Why this server?

FastMCP is a comprehensive MCP server allowing secure and standardized data and functionality exposure to LLM applications, offering resources, tools, and prompt management for efficient LLM interactions.

Why this server?

This server facilitates the invocation of AI models from providers like Anthropic, OpenAI, and Groq, enabling users to manage and configure large language model interactions seamlessly.

Why this server?

MCP Server provides a simpler API to interact with the Model Context Protocol by allowing users to define custom tools and services to streamline workflows and processes.

Why this server?

The Wanaku MCP Router stands between autonomous AI agents and your enterprise systems. Wanaku leverages proven integration technology, like Apache Camel, to set up and manage hundreds or thousands of integrations.

Why this server?

A proxy service that connects MCP clients to remote MCP servers, allowing users to use server keys from MCP.so to access remote resources without running their own server.

Why this server?

Plugged.in MCP Server acts as a proxy server that combines multiple MCP servers into a single interface. It retrieves tool, prompt, and resource configurations from Plugged.in and directs requests for tools, prompts, and resources to the appropriate underlying server.

Why this server?

A server that enables AI assistants like Claude to safely run Python code and access websites, processing data for better AI understanding while providing helpful error messages.

Why this server?

Provides integration between [Genkit](https://github.com/firebase/genkit) and the Model Context Protocol (MCP).