The MCP-Framework is a TypeScript-based framework for elegantly building Model Context Protocol (MCP) servers. It provides an out-of-the-box architecture, supports automatic directory discovery of tools, resources, and prompts, and has multiple transmission methods and type-safe features.

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.

The Stripe Agent Toolkit is a toolkit that supports the integration of multiple AI agent frameworks (such as OpenAI, LangChain, CrewAI, etc.) with the Stripe API. It provides support for Python and TypeScript, simplifying payment-related operations.

assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.

Baidu Maps MCP Server is the first domestic map service compatible with the MCP protocol, offering 10 standardized API interfaces such as geocoding and route planning, supporting quick access via Python and Typescript, and enabling agents to implement map - related functions.

A TypeScript-based MCP server that implements a simple note system and supports note creation and summarization functions

LiteMCP is a TypeScript framework for elegantly building MCP (Model Context Protocol) servers. It provides the definition of tools, resources, and prompts, supports full - TypeScript development, has built - in logging, error handling, and CLI debugging tools, as well as SSE transmission support.

ATLAS is an intelligent task and knowledge management system built on TypeScript and Neo4j, designed for LLM agents, providing a three - layer management architecture for projects, tasks, and knowledge.

The Mux Node API library is a library for conveniently accessing the Mux REST API from server - side TypeScript or JavaScript. It provides functions such as complete API documentation, type definitions, error handling, automatic pagination, JWT helpers, webhook verification, etc., and supports multiple runtime environments.

FileScopeMCP is a TypeScript - based tool used to analyze the importance of files in a codebase, track dependencies, and provide visual charts, helping developers quickly understand the code structure.

An MCP server project that enables interaction between Claude Desktop and Google Gemini AI models

EasyMCP is a TypeScript library that simplifies the development of Model Context Protocol (MCP) servers. It provides a concise API and experimental decorator support, automatically handling type inference and template configuration.

FileScopeMCP is a code analysis tool based on TypeScript. It helps developers quickly understand the codebase structure by calculating file importance scores, tracking dependency relationships, generating visual charts, and adding file summaries. It supports analysis of multi-language projects, provides Mermaid chart generation and persistent storage functions, and can be integrated with Cursor's model context protocol.

A TypeScript-based MCP server that can integrate Claude with any OpenAI SDK-compatible chat completion API, supporting multiple AI chat providers.

An MCP server implemented in TypeScript, used to mark AI contributions in Git commits and automatically add the '(aider)' identifier after the committer's name.

A TypeScript - based MCP server that provides integration with the ERPNext/Frappe API, enabling AI assistants to interact with ERPNext data and functions through the model context protocol.

The MCP server for Glide API, supporting versions v1 and v2, providing secure API interaction and data processing functions.

Implementation of Novu's MCP server for AI agents to interact with the notification system

An MCP server based on TypeScript, designed specifically for Drupal, providing resource, tool, and prompt functions, and supporting integration with Claude Desktop.

An MCP server based on TypeScript that provides integration functions with the Qase test management platform and supports managing various entities such as projects, test cases, and test runs.

A Model Context Protocol (MCP) server implemented for the Resend email service, providing a standardized interface for sending emails and supporting TypeScript.

A document Q&A MCP server based on Langflow that provides a document query interface implemented in TypeScript and supports integration with Claude Desktop.

An MCP server based on TypeScript that integrates the Flux Schnell model to implement text-to-image generation functionality

A Model Context Protocol (MCP) server template project based on TypeScript, providing a structured, maintainable and extensible framework, including implementation examples of tools, resources and prompts, supporting configuration management, logging, error handling and containerized deployment.

An MCP server developed based on TypeScript, which enables AI assistants to read, write, search, and manage notes in the Obsidian knowledge base by encapsulating Obsidian's official CLI.

The Revit MCP server is a TypeScript - based bridge service that enables real - time model data interaction between Claude AI and Autodesk Revit

A Codecov Model Context Protocol server based on TypeScript that provides code coverage analysis tools and test suggestion functions.

A TypeScript starter project for the NestJS framework, providing a complete development environment for building efficient and scalable server-side applications

A TypeScript-based MCP server that uses OpenAI's DALL-E 3 model to generate images based on text prompts.

An MCP server based on TypeScript that integrates the text-to-image and text-to-video APIs of Tongyi Wanxiang, supporting asynchronous task processing and the MCP protocol specification.

A TypeScript-based MCP server that implements a simple note-taking system, providing note resource management, creation tools, and summary generation functions.

Node.js type definition package

The MCP server implementation of Foxit PDF API, providing Python and TypeScript versions, exposes more than 35 operations (such as creation, conversion, editing, security, OCR, etc.) of Foxit PDF services as tools available to AI agents.

This project includes two MCP servers: OnePiece for querying anime character information and IP address geographical location query services. It is developed using TypeScript and can be integrated with AI clients through standard input and output.

This is a development template for the Model Context Protocol (MCP) based on TypeScript, providing a complete foundation for building MCP clients and servers, including production-grade tools, sample code, and clear documentation, supporting rapid development and expansion.

The Meson cross - chain transaction MCP server implemented based on Deno and TypeScript provides a service for convenient asset transfer between different blockchains, supports main - net and test - net environments, and ensures security by configuring private keys through environment variables.

The Nextcloud MCP Server is a tool rewritten in TypeScript that allows large language models to interact with Nextcloud instances through the Model Context Protocol. It supports 30 operations such as notes, calendars, contacts, spreadsheets, and files, and especially provides a revolutionary unified file search function. It supports one - click cloud deployment on Smithery.

An MCP server based on TypeScript for generating commit messages from git staged files, supporting the Gitflow workflow and branch management.

An MCP server based on TypeScript that provides Gyazo image integration services, supporting image search, retrieval, upload, and metadata access functions.

This project demonstrates how to debug the MCP server in VSCode, includes example code for Python and TypeScript, and integrates the MCP Inspector tool for browser testing.