# LLM tools

buttplug - mcp is an MCP server based on the Buttplug.io ecosystem that allows tool - supporting LLM programs to query and control reproductive interface devices. Currently, the project is in the experimental stage, and the connection stability needs improvement.

A Notion API server based on the MCP protocol that converts the functions of the Notion SDK into a toolset, enabling large language models to directly manipulate Notion content through natural language instructions.

Implementation of an MCP server that provides time awareness capabilities for LLMs

The Supabase MCP Server is a tool that enables LLM models such as Claude to interact with Supabase through the MCP protocol, supporting CRUD operations on Postgres tables.

An MCP server project for experimenting with LLM tools, providing a variety of local and network tool integrations.

A chain-agnostic tool that can automatically generate typed MCP servers from files such as the ABI/IDL of smart contracts, enabling large language models to call contract functions through a standard protocol.

The Ankr MCP server obtains blockchain data through the Ankr API and provides on - chain data operation services for LLMs.

MCP Server Go is a Model Context Protocol (MCP) server implemented in Go, used to connect LLM applications with external data sources and tools, providing a simple and efficient development experience.

FastMCP is a Python tool for quickly building MCP servers and clients, simplifying the implementation of standardized protocols for interacting with LLMs.

A set of tools for connecting gohighlevel data to LLM

Create a personalized LLM toolset

The microCMS MCP Server is a search server that supports the Model Context Protocol and is used to retrieve and obtain microCMS content from LLMs.

An MCP server management plugin for installing and managing MCP servers of LLM clients such as Claude in VSCode, supporting multi-configuration file and server management functions.

The Databricks MCP Server is a service that implements the Model Completion Protocol (MCP), providing the ability to access Databricks functions via the MCP protocol, enabling LLM tools to interact with Databricks clusters, jobs, notebooks, etc.

WebMCP is a project that allows websites to support client-side LLMs (Large Language Models). It enables the sharing of tools, resources, and prompts between websites and LLMs through a local WebSocket server without the need for API keys and supports multiple models.

xgmem is a TypeScript-based MCP memory server that provides project-specific and knowledge graph-driven memory storage for tools like Claude and LLM agents, supporting cross-project knowledge sharing and persistent storage.