Developer Tools Servidores MCP

OpenGraph.io

Exposes OpenGraph.io API endpoints to AI agents through the Model-Context-Protocol (MCP) interface.

Solvitor

Extracts IDL files from closed-source Solana smart contracts and decompiles them using an AI-powered platform.

Supabase Self Host

Enables users to self-host the Model Context Protocol (MCP) server on macOS to query a Supabase PostgreSQL database.

Floyd

Provides an LLM service leveraging Spring Boot Java.

Telegram

Enables interaction with Telegram from within the Cursor IDE via the Model Control Protocol.

Jira

Bridges Jira with the Model Context Protocol (MCP) for streamlined data interaction.

Grabba

Exposes Grabba API functionalities as callable tools for AI agents and applications.

Discord

Facilitates intelligent Discord bot interactions by connecting to the Mastra.ai platform.

Jane

Provides a knowledge management system for standard library and specification documents accessible via the Model Context Protocol.

Server Hub

Facilitates interactions with various AI service APIs, including Hugging Face and Dify.

Git

Enables interaction with Git repositories and automation via Large Language Models.

GitLab

Facilitates communication between GitLab and applications using the Model Context Protocol (MCP).

Windows CLI

Provides secure command-line interactions on Windows systems via PowerShell, CMD, Git Bash, and SSH.

ProjectDocHelper

Automatically generates project documentation and serves it via MCP to improve AI development tool accuracy.

Webhook

Sends webhook notifications when called via Model Context Protocol (MCP).

Server Example

Provides a basic implementation of a Model Context Protocol (MCP) server using .NET.

OpenAPI

Provides a standardized interface for interacting with model services via a RESTful API, implementing the Model Context Protocol with OpenAPI documentation.

Simple Ollama Bridge

Connects Model Context Protocol (MCP) servers to OpenAI-compatible LLMs like Ollama.

Bizflycloud

Connects to Bizfly Cloud to manage cloud resources through the Model Context Protocol (MCP).

Experiments

Enables Large Language Models (LLMs) to control a Mac desktop computer via bash and AppleScript using the Model Context Protocol (MCP).