Discover our curated collection of MCP servers for developer tools. Browse 12991servers and find the perfect MCPs for your needs.
Enables AI assistants to programmatically create, build, test, and manage iOS/macOS projects through Xcode functionality.
Provides AI assistants with tools to load, parse, and query OpenAPI and Swagger API documentation.
Enables AI models to create and publish posts on X (formerly Twitter) through a standardized interface.
Enables AI assistants to interact with JIRA APIs, facilitating issue management and workflow automation.
Simulate code reviews from expert personas using AI and a knowledge graph.
Provides AI agents with access to Astro documentation for assisting users with Astro-related tasks.
Manages the core server functions for API testing workflows.
Enables LLMs to search and retrieve data from a Slack workspace.
Enables AI models to interact with the Starknet blockchain.
Automates AI assistants learning from user corrections to continuously update their configuration and adhere to preferred coding standards.
Simulate security vulnerabilities within an MCP (Model Context Protocol) environment for research and testing.
Provides robust capabilities for opening, searching, editing, and saving HWPX documents locally, integrating seamlessly with AI clients like Gemini and Claude.
Empower AI agents with comprehensive browser access, utilizing a vision-first interaction model.
Enables AI-powered tasks within your terminal using agents and MCP.
Provides LLM Agents with system utilities and tools including network diagnostics, security, and generation functionalities.
Accesses MITRE's Common Weakness Enumeration (CWE) database via its official API, streamlining vulnerability research and integrating with MCP-compatible systems.
Provides a Model Context Protocol (MCP) server to interact with a VikingDB instance for storing and searching information.
Provides large language models with real-time, timezone-aware date and time context.
Integrates YouTrack's extensive capabilities with various applications via a Model Context Protocol (MCP) server, streamlining issue tracking, project management, and team collaboration.
Enables language models to interact with Strava data, providing access to activities, athlete information, and more.
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