Developer Tools Servidores MCP

MAMP MySQL

Provides access to MySQL databases through a Model Context Protocol (MCP) server.

BrowserTools

Enables AI-powered applications to interact with and analyze browser data through a Chrome extension.

Portkey Admin

Manages AI configurations, workspaces, and analytics for the Portkey AI platform.

Eats

Provides a proof-of-concept implementation for building Model Context Protocol (MCP) servers on top of Uber Eats.

Hono

Implements a Model Context Protocol (MCP) server for real-time communication using Server-Sent Events (SSE).

Raindrop.io

Integrates Raindrop.io bookmarks with Large Language Models using the Model Context Protocol.

FastAPI Application

Provides an example REST API application built with FastAPI, demonstrating integration with the Model Context Protocol (MCP).

Prompter

Manages and serves custom prompts using Go's templating language via a Model Context Protocol server.

PostgreSQL

Enables large language models to inspect PostgreSQL database schemas and execute read-only queries.

Wheather

Provides a simple weather server.

Jira Integration

Integrates Jira services with MCP, enabling fetching Jira content for use with LLMs.

Screenshot

Provides visual context for LLMs by enabling them to capture real-time screenshots of localhost development servers.

CodeRide

Connects AI development tools to CodeRide, an AI-native task management system, enabling project understanding, task automation, and collaboration.

AivisSpeech

Provides a Model Context Protocol (MCP) server implementation for AivisSpeech, offering an interface for voice synthesis.

Mcp-tools

Implements a Model Context Protocol server using HTTP Server-Sent Events (SSE) for real-time communication.

Airthings Consumer

Provides a Model Context Protocol (MCP) server for retrieving air quality data from Airthings devices.

SuperMemory

Provides universal memory across all large language models, allowing seamless access to your stored information.

Salesforce

Enables natural language interactions with Salesforce data and metadata through a Model Context Protocol (MCP) server.

Mcpy-Cli

Automates the discovery and building of Model Context Protocol (MCP) services directly from Python files.

Agent Interviews

Access Agent Interviews data directly from AI assistants like Claude and Cursor using the Model Context Protocol (MCP).