Developer Tools MCP Servers

Nmap

Integrates the Nmap network scanning tool within Model Context Protocol (MCP) environments.

Function Hub

Integrates the Function Hub API with MCP (Meta-Configurable Platform) environments.

Biodiversity Model Context Protocol

Serves as a server for interacting with biodiversity models.

Aerith Admin

Facilitates MANUS-inspired development workflows for RBAC dashboard applications with browser automation capabilities.

Monsoft Protocols

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

Api Tester

Enables Claude to make API requests, including dedicated integration with OpenAI's APIs.

Gemini Server

Enables AI assistants to interact with Google's Gemini API using the Model Context Protocol.

Notion Knowledge Base

Accesses and queries a Notion knowledge base directly from the Cline VSCode extension.

DCR

Implements an MCP server for managing and controlling models, with a tool for summarizing Git commit messages.

Sqlite

Provides SQLite database operations through a standardized Model Context Protocol interface.

Lara

Streamlines processes and optimizes operations for maximum productivity in various industries and sectors.

Is It Down

Checks if a website is currently down by querying isitdownrightnow.com.

Nekzus

Provides utility tools for development and testing based on the Model Context Protocol (MCP).

Mcp-test

Analyzes log files by creating an SQLite database and interacting with it using the Model Context Protocol (MCP) SQLite server.

SolarWinds Logs

Provides access to and visualization of SolarWinds Observability logs through a Model Context Protocol (MCP) server.

Remote Command

Enables remote command execution across different operating systems through a unified interface.

Chronos

Enables AI assistants to securely interact with the Stellar blockchain.

Client Server Sample

Demonstrates the creation and usage of MCP clients and servers using Python.

Git

Manages Git operations on local repositories through an MCP server.

Docker

Executes code in isolated Docker containers and returns the results to language models.