Developer Tools MCP Servers
Discover our curated collection of MCP servers for developer tools. Browse 4188 servers and find the perfect MCPs for your needs.
Appsignal
Enables AI assistants to fetch and analyze incident data from Appsignal.
Model Context Protocol
Integrates various services like JIRA and TODO management using a TypeScript-based server implementation for the Model Context Protocol.
GraphQL
Provides a GraphQL API for querying and manipulating Mission Control Platform (MCP) data.
Faruk Networks
Enables MSSQL database interaction within MCP-compatible editors.
SimpleWeatherForecast
Simulates an attempt to obtain a user's OpenWeatherMap API key for security testing purposes.
Filesystem
Provides secure, relative filesystem access for AI agents.
Aws Cognito
Integrates with AWS Cognito to provide user authentication and management for MCP applications.
MyFirst
Manages TXT files on the desktop using the MCP framework.
Claude Hacker News
Integrates Claude Desktop with Hacker News, enabling access to real-time articles and user interactions.
Notion
Provides a server-side component, likely for interacting with the Notion API or integrating Notion with other services.
Safari Screenshot
Captures screenshots of webpages using Safari on macOS.
Linktree Demo
Demonstrates GitHub API interaction capabilities from within Claude.
Amoca Sendai Agent Kit
Enables Solana blockchain interactions through a Model Context Protocol (MCP) server.
Model Context Protocol Servers
Provides a collection of specialized Model Context Protocol (MCP) servers for diverse use cases.
Linear Integration
Integrates Linear issue tracking and project management with AI models through the Model Context Protocol (MCP).
Filesystem
Enables read/write operations and management of files and directories within specified, sandboxed locations.
Replicate Server
Interfaces with Replicate's API to provide access to AI models through a standardized interface.
Marvin
Serves as an MCP server designed for use with the 'amazing marvin'.
Inori
Facilitates interaction with large language models through a simple MCP server implementation.
Jupyter
Enables interaction between Model Context Protocol (MCP) clients and Jupyter notebooks running in JupyterLab.
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