Developer Tools MCP Servers

Bio-OS

Manages workflows and Docker image building for Bio-OS instance platforms.

DevHub CMS

Integrates DevHub CMS with Large Language Models through the Model Context Protocol.

macOS Notify

Enables AI assistants to send native macOS notifications with clickable tmux session focusing.

AgentBay

Provides a cloud infrastructure for AI Agents, offering configurable tools and a secure execution environment.

CEP Lookup

Enables querying Brazilian postal codes (CEPs) using the ViaCEP API.

Firebolt

Connects large language models to the Firebolt data warehouse.

Pty

Provides a stateful terminal as an MCP tool server.

Kick

Enables seamless integration with the Kick.com API through a Model Context Protocol (MCP) server.

X-Act

Compose AI assistants with this library.

Everything

Implements a system-wide Model Context Protocol server offering file operations, HTTP requests, and command execution.

Blnk

Facilitates interaction with multiple AI providers through a terminal-based chat application.

Mcpc

Builds scalable agentic servers from numerous dependent Model-Context-Protocol (MCP) components.

SuperGateway

Enables running Model Context Protocol (MCP) stdio servers over Server-Sent Events (SSE) and SSE over stdio, serving as an AI gateway.

NovaCV

Streamlines resume creation and analysis by integrating with the NovaCV API for PDF generation, format conversion, and content analysis.

Toast

Displays desktop notifications on Windows 10 and macOS based on requests from Model Context Protocol (MCP) clients.

Template

Facilitates the creation of custom tools for Cursor IDE using the Model Context Protocol.

Blender

Integrates artificial intelligence agents with Blender, enabling prompt-assisted 3D modeling, scene creation, and manipulation through direct control and two-way communication.

Idb

Integrates Facebook's iOS Development Bridge (idb) with the Model Context Protocol (MCP) for automated iOS device management and testing.

Telegram

Enables LLMs to send notifications to Telegram and receive user responses.

PRIMS

Enables LLM agents to safely execute arbitrary Python code within a secure, ephemeral sandbox via a lightweight, open-source Model Context Protocol (MCP) server.