# LLM tools

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

A set of tools for connecting gohighlevel data to LLM

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.

A memory bank server based on the MCP protocol, supporting multi - project isolation and Markdown document management, providing tool call interfaces for large language models.

Create a personalized LLM toolset

The JetBrains MCP server plugin enables seamless integration between LLMs and IDEs and provides extension points for custom tools.

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.

ifcMCP is an MCP server project that enables LLM agents to interact with IFC (Industry Foundation Classes) files and supports multiple tools to operate on IFC file data.

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 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.

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.

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

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.

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

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.

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.

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.

The urlDNA MCP Server is a service that provides native tool usage for security-oriented LLM agents (such as OpenAI GPT-4.1 and Claude 3 Desktop), interacting directly with the urlDNA threat intelligence platform through the API. It supports various tools, including URL scanning, searching, and quick checking, and can be accessed via the SSE protocol.

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.