# AI tools

This project implements an API server that complies with the MCP protocol for searching the PRIDE Archive proteomics database and supports AI models to interact with proteomics datasets through structured function calls.

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.

MCP integration for UploadThing, supporting AI assistants to upload files via the MCP protocol.

This project is an MCP client based on LangChain, used to demonstrate how to call MCP server tools through the LangChain ReAct Agent. It supports the LLMs of Anthropic, OpenAI, and Groq and provides the function of converting MCP tools to LangChain tools.

The RISKEN MCP server is a protocol server that provides RISKEN API integration, supporting automated data acquisition, scanning, and analysis, as well as building AI tool applications.

An MCP server that supports multiple tool providers, providing a standardized interface for AI models to use tools from different service providers.

A TypeScript - based MCP server that integrates with the Metabase API, allowing AI assistants to access dashboards, questions, and database resources in Metabase and providing functions such as query execution.

This project is an intermediate server that connects the Recurse Center API with AI tools, enabling AI assistants to query information about Recurse Center members, batches, and locations through the Model Context Protocol (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.

Gofannon is a toolset for enhancing the functions of language models/agents, providing cross - framework compatibility and a rich set of tools, supporting rapid development and community contributions.

A cryptocurrency news MCP server based on NewsData.io, providing functions such as real-time news acquisition, keyword search, and news summary generation.

An MCP server project that enables Claude to directly access the documentation of popular libraries such as LangChain, LlamaIndex, and OpenAI, search through the Serper API and parse content using BeautifulSoup to enhance the AI's context understanding ability.

This project provides a basic MCP server implementation, including simple examples, Docker containerization demonstrations, and automation scripts, supporting the rapid construction of custom MCP services and integration with systems such as Jira.

This is a custom AI tool demonstration project based on Cloudflare Workers and the MCP protocol, which can be integrated with AI assistants such as Claude and Cursor to expand AI functions.

The MCP Prompts Server is a service system for managing and applying AI prompt templates, supporting multi-format conversion, variable replacement, and resource integration. It can work in collaboration with other MCP services.

An AI agent forwarding solution based on the MCP protocol, realizing unified HTTP interfaces and fast integration of large model services.

An MCP protocol server that provides access to the tools on the Toolhouse platform

A production-ready MCP server template for hosting custom AI tools and prompt templates, supporting remote deployment and local operation, helping developers quickly build AI model interaction tools.

The 302AI Sandbox MCP Server is a secure code sandbox service that allows AI assistants to execute arbitrary code, supporting multiple modes and dynamic tool loading.

Memory Bank MCP is a server based on the Model Context Protocol (MCP) for managing the memory bank, enabling AI assistants to store and retrieve information across different sessions.

An MCP server that provides audio input/output functions, supporting the interaction between AI assistants like Claude and the computer's audio system, including functions such as recording and playing audio files.

Example project for implementing Spring AI tools

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

This project demonstrates the application of the Model Context Protocol (MCP), enabling seamless integration between clients and servers, supporting CRUD operations and database interactions, and providing context - aware capabilities for AI applications.

This project demonstrates how to build a remote MCP server on Cloudflare Workers and implement the OAuth login function. It supports local development and debugging, connection testing via the MCP inspector, integration with the Claude desktop client, and can ultimately be deployed to the Cloudflare cloud service.

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.

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.

An MCP server based on the Perplexity API, providing web search tools.

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