Connect AI agents to
Development Tools
Integrate AI agents with development tools to streamline coding, testing, and deployment processes.
Dev Tools Integrations on Metorial
Boost development workflow by connecting AI agents to essential development tools. Streamline coding, testing, and deployment processes by integrating with platforms like version control, CI/CD pipelines, and code review systems. Empower your AI to assist in code generation, bug detection, and deployment automation, enhancing productivity and code quality.
Code Execution
Run code snippets securely in isolated environments for testing or demonstration.
GitHub
Manage GitHub repositories, Track issues and pull requests, Search and navigate code, Automate development workflows
Hugging Face
Search ML models, Explore datasets, Browse Hugging Face Spaces, Access model documentation
Vercel
Manage Vercel deployments, Configure environment variables, Control custom domains, Monitor build logs
Semgrep
Run static analysis, Detect security vulnerabilities, Enforce code standards, Scan multiple languages
Gitlab
Manage GitLab repositories, Handle merge requests, Track issues and tasks, Search code repositories, Manage CI/CD pipelines
Polar Signals
Query profiling data, Analyze performance bottlenecks, Investigate resource consumption, Access historical metrics
IoT and Device Control
Interact with and control smart devices, sensors, and embedded systems.
Security
Tools for monitoring, analyzing, and responding to security threats and incidents.
Supabase
Query Postgres databases, Manage user authentication, Handle file storage, Execute real-time subscriptions
Brave
Search web content, Retrieve location details, Access news articles, Filter search results
Sentry
Query error tracking data, Search Sentry documentation, Analyze production issues, Monitor performance metrics
Semgrep
Run static analysis, Detect security vulnerabilities, Enforce code standards, Scan multiple languages
Polar Signals
Query profiling data, Analyze performance bottlenecks, Investigate resource consumption, Access historical metrics
Cloudflare Observability
Query Cloudflare analytics, Monitor security events, Analyze traffic patterns, Retrieve performance metrics
APIs and HTTP Requests
General-purpose tools for calling external APIs and handling HTTP requests and responses.
Exa
Semantic web search, Find similar content, Retrieve webpage content, Filter search results
Hackernews
Fetch Hacker News stories, Analyze user contributions, Monitor trending discussions, Retrieve community data
Supabase
Query Postgres databases, Manage user authentication, Handle file storage, Execute real-time subscriptions
GitHub
Manage GitHub repositories, Track issues and pull requests, Search and navigate code, Automate development workflows
Brave
Search web content, Retrieve location details, Access news articles, Filter search results
Hugging Face
Search ML models, Explore datasets, Browse Hugging Face Spaces, Access model documentation
About Metorial
Metorial provides developers with instant access to 600+ MCP servers for building AI agents that can interact with real-world tools and services. Built on MCP, Metorial simplifies agent tool integration by offering pre-configured connections to popular platforms like Google Drive, Slack, GitHub, Notion, and hundreds of other APIs. Our platform supports all major AI agent frameworks—including LangChain, AutoGen, CrewAI, and LangGraph—enabling developers to add tool calling capabilities to their agents in just a few lines of code. By eliminating the need for custom integration code, Metorial helps AI developers move from prototype to production faster while maintaining security and reliability. Whether you're building autonomous research agents, customer service bots, or workflow automation tools, Metorial's MCP server library provides the integrations you need to connect your agents to the real world.
Ready to build with Metorial?
Let's take your AI-powered applications to the next level, together.