# MCP Tools

The MCP Client Configuration Server is a tool for managing different MCP client configurations, supporting automatic detection of the operating system and client type, and providing functions such as obtaining, adding, and deleting configuration files.

A local file reading server based on the MCP protocol, providing AI models with secure access to the local file system

An MCP server project that provides Google Chat integration, supporting access to and interaction with Google Chat spaces and messages through MCP tools.

This is a prototype of a code execution server based on the MCP protocol, which combines the code generation capabilities of large language models with MCP tool integration, enabling AI agents to run Python code in an isolated sandbox and invoke external tools.

An MCP service based on the NiuTrans API, providing text translation tools and multilingual catalog resources, which is convenient for integration and use in clients such as Cursor.

The Browser Agent Protocol (BAP) is an open standard designed for AI agents to interact with web browsers. It provides two interfaces, CLI and MCP, and supports features such as semantic selectors, composite actions, and structured data extraction.

The MCP Easy Installer is a multi - functional tool for searching, installing, configuring, repairing, and uninstalling MCP servers. It supports cross - platform operations and simplifies the development process.

ROS2MCP is a project that converts ROS 2 services and topics into MCP tools and resources. It supports running on Linux, macOS, and Windows and interacts with clients through the MCP protocol.

An MCP server that provides a waiting function and can pause until other tasks are completed.

The ClickHouse Cloud MCP Server project provides the function of interacting with the ClickHouse Cloud API through MCP tools, supporting the management of organizations and services.

A Node.js-based proxy server that bridges Ethereum JSON-RPC queries from Geth nodes to the Model Context Protocol (MCP) ecosystem. It supports multiple Ethereum RPC methods as MCP-compatible tools, providing secure, rate-limited, and schema-validated blockchain data access.

An MCP server based on TinyDB that provides localized long-term memory storage for chatbots, supporting the storage, search, and validation of JSON records

This is an MCP server used to expose MIST.cash's privacy payment features on Starknet, allowing AI agents to interact with the privacy - protected payment protocol through standardized interfaces.

The MCP Document Indexer is a Python - based local document indexing and search server that uses the LanceDB vector database and a local LLM (through Ollama) to implement real - time monitoring, multi - format document processing, and semantic search, and provides tools for AI assistants such as Claude through the Model Context Protocol (MCP).

BetterPrompt MCP is a server based on the Model Context Protocol (MCP). It uses advanced prompt engineering techniques to convert simple user requests into optimized instructions with clear structure and rich context, thereby significantly improving the performance of AI models.

40ants-lisp-dev-mcp is an MCP server that provides tools for large language models (LLMs) to interact with a running Lisp image. It supports running in stdio or HTTP stream modes, allowing LLMs to call Lisp functions, obtain documentation, evaluate code, etc., facilitating AI-assisted programming in the Lisp development environment.

StateCLI is an infrastructure that provides a memory and self - awareness layer for AI agents. By tracking, replaying, and undoing operations, it endows agents with the abilities of memory, error repair, and historical learning.

XActions is a complete X/Twitter automation toolkit that provides browser scripts, CLI, Node.js libraries, MCP servers, and dashboards. It does not require an API key or payment and supports multi - platform data scraping, automated operations, and AI agent integration.

This project provides configuration tools and adapters for the GitLab MCP server, addressing common adaptation issues of Git MCP servers in the GitLab environment, including parameter conversion, process management, and port conflicts.

MCP Tool List

The MCP Installer is a project that provides tools related to the MCP server, including functions for finding, configuring, and installing the MCP server.

A lightweight weather service based on the MCP protocol, developed with TypeScript and Node.js, providing real-time weather alerts and forecast data.

Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.

A project that collects commonly used MCP tools and helps learn MCP server development

A Node.js package that converts APIs into MCP tools

The AI Memory Protocol is a versioned, graph - based persistent memory system designed for AI programming agents, implemented using Sphinx - Needs, supporting the creation, search, update of memories, and integration with AI clients through the MCP protocol.

A TypeScript-based MCP server that provides a precise line-based text file editing tool, supporting regular matching and content replacement.

An intelligent agent project based on LangGraph and the MCP server, supporting mathematical calculations and weather queries through MCP services.

An MCP server for Claude Code that achieves over 90% context compression through structured incremental snapshots, significantly saving token usage.

This project is a payment service based on the Model Context Protocol (MCP). By integrating the Authorize.Net Node SDK, it provides two functions: instant credit card charging and generating hosted payment pages. As an MCP server, it encapsulates payment operations into a standardized tool for AI agents or other platforms to call, enabling secure and structured payment processing.