Developer Tools Servidores MCP

KodeKloud

Provides a foundational guide to constructing a functional MCP server and client.

Ros Minipi

Transforms natural language commands from large language models (LLMs) into ROS commands for robot control, enabling robots to perform complex tasks and adapt to various environments.

Radio-T

Provides an unofficial MCP server for the Radio-T website API, enabling programmatic access to its content.

Bootstrap

Provides a foundational template for developing hot-reloadable Model Context Protocol servers.

Screenshot

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

HexStrike AI

Automates cybersecurity tasks by integrating over 70 security tools with AI agents for autonomous testing.

Hevy

Integrates with the Hevy API to programmatically manage workout data, routines, and webhooks.

Tyler

Enables AI assistants like Claude to securely interact with Databricks workspaces by hosting Model Context Protocol (MCP) prompts and tools.

Ip Info

Retrieves geographic location information from IP addresses using an offline IP database.

Splunk

Generates a Model Context Protocol (MCP) server from an OpenAPI specification for a given API.

Monsoft Protocols

Extends the capabilities of AI assistants by enabling them to perform additional functions and access external resources through Model Context Protocols.

Quack

Automates code analysis and testing for Python projects by performing linting and static type analysis within a continuous integration environment.

Weather Server

Provides weather forecast and alert tools via Server-Sent Events (SSE) using the Model Context Protocol (MCP).

Valetudo

Provides a Go-based MCP server to interact with Valetudo-powered robot vacuums via their HTTP API.

Milvus Server

Connects LLM applications to Milvus vector database functionality via the Model Context Protocol.

Georgia 511

Provides access to real-time traffic information from Georgia's 511 service.

Jenkins Api

Provides common operation interfaces for Jenkins jobs through a Spring AI-based MCP Server.

Build

Empowers AI agents to automate build, test, linting, and dependency management for software projects.

My-Server

Implements a Model Context Protocol (MCP) server for managing and summarizing notes.

E2E

Automates the validation of AI-generated code through end-to-end testing.