Developer Tools MCP Servers
Discover our curated collection of MCP servers for developer tools. Browse 7359servers and find the perfect MCPs for your needs.
OpenRPC
Exposes JSON-RPC functionality through an OpenRPC Model Context Protocol server.
Swift GUI
Controls macOS via mouse movements, clicks, keyboard input, and scrolling through MCP clients.
Code Research
Facilitates searching and accessing programming resources across multiple developer platforms for use by LLMs.
Unichat
Connects to various AI providers like OpenAI, MistralAI, and Anthropic using the MCP protocol, allowing interaction via tools or predefined prompts.
Mcp-Gdb
Enables GDB debugging functionality within AI assistants like Claude through the Model Context Protocol.
ScreenPilot
Automates device control by providing a screen automation toolkit for interacting with graphical user interfaces.
MSSQL
Enables secure and structured interaction with Microsoft SQL Server (MSSQL) databases for AI assistants.
Algorand
Enables applications to provide context to large language models for Algorand blockchain interactions.
Kagi Server
Integrates the Kagi Search API as a Model Context Protocol server.
Branch Thinking
Enables the creation and navigation of multiple, interconnected thought processes.
Docs Service
Manages markdown documentation with frontmatter, optimized for AI assistant integration.
Vancouver
Simplifies the integration of Model Context Protocol (MCP) functionality into Elixir-based Phoenix or Bandit servers.
GDB Debugging Server
Exposes GDB debugging capabilities via the MCP protocol for remote application debugging.
Raindrop
Enables AI agents to access and manage Raindrop.io bookmarks through the Model Context Protocol (MCP).
PostHog
Enables interaction with PostHog projects through Claude Desktop for creating annotations and managing projects.
BatchIt
Aggregates multiple Model Context Protocol (MCP) tool calls into a single request, reducing overhead and token usage for AI agents.
Shell
Enables Claude to execute shell commands securely through the Model Context Protocol.
Dify App
Exposes Dify workflows as a Model Context Protocol (MCP) server for integration with AI clients.
ZoomEye
Queries ZoomEye for network asset information based on dorks and other search parameters.
Ragdocs
Augments AI responses with relevant documentation context through vector search.
Scroll for more results...