# AI tools

This project studies the MCP server deployment scheme used by the research team, including local development configuration and Kubernetes containerization deployment, and explores how to implement team - shared AI tool services.

The Web Browser MCP Server is a Python-based MCP protocol server that provides web browsing and content extraction functions for AI assistants.

An MCP server designed for Kintone, supporting exploration and manipulation of Kintone data through AI tools such as Claude Desktop.

A server based on the Model Context Protocol that integrates the ntfy push notification service, enabling LLMs and AI agents to send highly customizable notifications to devices.

MCP2Lambda is an MCP protocol server that runs AWS Lambda functions as tools for large language models (LLMs). AI models can call Lambda functions to access private resources and AWS services without code modification.

Awesome - MCP - ZH is a collection of MCP (Model Context Protocol) resources tailored for Chinese users, including basic introductions, usage guides, client, server, and community resources to help users quickly get started with MCP.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement OAuth login functionality. It supports local development and debugging, can be connected to the service via the MCP Inspector or Claude desktop application, and is finally deployed to the Cloudflare cloud.

An MCP server based on Python that uses Pandoc to provide powerful document conversion functions, supports conversion between multiple formats such as Markdown, DOCX, HTML, PDF, etc., and is suitable for integration with AI agents.

mcp - client - browser is a TypeScript library that provides MCP (Model Control Protocol) support for browsers, enabling seamless interaction with large language models.

This project is a tool for running a Model Context Protocol (MCP) server. It encapsulates the functions of the CodeQL query server and supports interaction with CodeQL through structured commands and document search.

A community-developed Nasdaq Data Link MCP Server that provides access to financial and economic data through natural language interfaces and large language models.

Airtable MCP is a service that connects AI tools with Airtable, supporting querying, creating, updating, and deleting records through natural language. It includes functions such as basic management, table operations, schema operations, record filtering, and data migration.

FastMCP is a TypeScript-based framework for building MCP servers that support client sessions. It provides simple definitions for tools, resources, and prompts, supports functions such as authentication, session management, returning image and audio content, logging, error handling, SSE communication, etc., and includes CLI tools for testing and debugging.

An MCP server based on ClickSend that allows AI assistants such as Claude to send SMS and MMS via API.

A TypeScript-based MCP server that provides AI image and video generation functions and requires support from the API key of GPT4O Image Generator.

A voice synthesis server compatible with VOICEVOX, which realizes integration with tools like Cursor through the MCP protocol

An MCP server that connects AI assistants with Go language analysis tools

Build a custom Python MCP server for connecting AI agents and tools to achieve standardized communication and context management.

An MCP (Model Context Protocol) server and client project based on FastMCP and LangChain, including installation dependencies and operation guides.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement the OAuth login function. It supports local development and debugging, connection and testing through the MCP Inspector, and integration with the Claude desktop application to invoke MCP services. Finally, it provides a complete process for deploying to Cloudflare and connecting remote clients.

Guide to setting up the SUSE AI demonstration environment. Deploy Rancher Fleet and the SUSE AI stack through a K3s cluster, and integrate the MCP service and Open-WebUI to achieve Kubernetes interaction functions.

Jina AI MCP Tools is a Model Context Protocol server integrating Jina AI's basic search API, providing web content extraction, web search, and fact-checking functions, and supporting integration through the Cursor editor.

Supergateway is a tool used to convert MCP servers based on standard input and output into services accessible via SSE or WebSocket, facilitating remote debugging and integration.

Implementation of the Feishu MCP Server, providing the ability for large AI models to interact with the Feishu API, mainly supporting bitable operations.

The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants

A Python service implementing the MCP protocol, integrating the Jira API for AI models to call

A cloud-native AI service platform that supports the execution of AI tools through REST API, integrates the Model Context Protocol (MCP), and has the capabilities of automatic tool discovery and horizontal scaling.

The Ergs MCP Server is a tool based on the model context protocol that provides the ability to interact with the Ergs API, allowing AI assistants to search and browse data sources

Agent Payment MCP is a one - click installer that provides advanced tools for AI programming assistants, including intelligent mathematical calculation, synthetic data generation, text processing, Python isolated execution, network tools, etc., and adopts a pay - as - you - go model.

Convert AI skills in Claude Skills format to MCP server resources, enabling LLM applications to access these skill tools through the model context protocol.