Development Tools MCPs
12,361 MCP servers found
perplexica-mcp
by thetom42
MCP server for Perplexica
mcp
by hummingbot
mcp
mcp-server
by inkdropapp
Inkdrop Model Context Protocol Server
arcade-py
by ArcadeAI
Typed Python client for Arcade REST API with sync/async support and robust tooling.
ontosphere
by ThHanke
Browser-based RDF/ontology knowledge graph editor — load RDF from files, URLs or SPARQL endpoints; author nodes and edges on the canvas; run OWL-RL reasoning; apply multi-algorithm layout and clustering. AI-native via MCP tool surface and relay bridge. Fully client-side, no backend required.
jimeng-mcp
by c-rick
jimeng mcp
sample-agentic-ai-web
by aws-samples
Web automation demo focusing on vision, tools, and headless browser workflow with Bedrock models.
nvim-mcp
by linw1995
A Model Context Protocol (MCP) server that provides seamless integration with Neovim instances, enabling AI assistants to interact with your editor through connections and access diagnostic information via structured resources.
pprof-analyzer-mcp
by ZephyrDeng
This is a Model Context Protocol (MCP) server implemented in Go, providing a tool to analyze Go pprof performance profiles.
minimax-mcp-tools
by PsychArch
Async MCP server with Minimax API integration for image generation and text-to-speech
McpX
by YudaiKitamura
McpX is a library for communicating with Mitsubishi Electric PLCs using the MC protocol. It features a simple and easy-to-use API, allowing you to communicate without worrying about MC protocol details. It runs on various platforms, including Linux, Windows, and macOS.
FastAPI-fastkit
by bnbong
<Open Source> Fast, easy-to-use starter kit for new users of Python and FastAPI
model-context-protocol-rb
by dickdavis
Ruby gem delivering prompts, resources, templates, and tools via a flexible DSL with STDIO and Redis-backed HTTP transport.
advanced-homeassistant-mcp
by jango-blockchained
Secure, high-performance MCP server enabling AI assistants to control Home Assistant via natural language.
claudesidian-mcp
by ProfSynapse
Claudesidian MCP turns Obsidian into an AI-powered workspace. It exposes vault operations as MCP agents, offers a native chat, and stores memory per workspace without external embeddings. With multi-vault support, a secure local MCP server, and an extensible Agent-Mode architecture, it enables structured automation while prioritizing privacy and cost control.
mcp
by Teamwork
Seamless Teamwork.com integration enabling LLMs to manage projects and tasks with multi-transport access, secure OAuth2, and an extensible tool framework.
matlab-mcp-tools
by neuromechanist
An MCP to write and execute MATLAB scripts, maintain workspace context between MCP calls, visualize plots, and perform section-by-section analysis of MATLAB code with full access to MATLAB's computational capabilities.
github-mcp-server
by 0xshariq
A Model Context Protocol (MCP) server that provides 29 Git operations + 11 workflow combinations for AI assistants and developers. This server exposes comprehensive Git repository management through a standardized interface, enabling AI models and developers to safely manage complex version control workflows.
mcp
by ainblockchain
Type-safe bridge enabling autonomous AI agents to manage accounts, submit transactions, read data, and access Layer 2 DAG memory via Hyper Agent staking.
internetdata-mcp
by lsd-so
Updated LSD integration harness enabling dynamic trips via the LSD SDK for flexible tool-driven workflows.
modelcontextprotocol
by sasakiblog26-lgtm
Unified Perplexity platform enabling real-time web search, research, and reasoning with Sonar models for seamless integrations and developer-focused configuration.
mcp-sequential-thinking
by amalikn
Dynamic, stepwise thinking with branching paths and iterative revisions for robust problem solving.
a2a-mcp-tutorial
by Tsadoq
A tutorial on how to use Model Context Protocol by Anthropic and Agent2Agent Protocol by Google
plan-cascade
by Taoidle
AI-powered cascading development framework. Decompose complex projects into parallel executable tasks with auto-generated PRDs, design docs, and multi-agent collaboration (Claude Code, Codex, Aider).