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.
Neon
Manage Postgres databases, Execute SQL queries, Optimize query performance, Perform schema migrations
Vercel
Deploy Vercel projects, Manage environment variables, Configure custom domains, Monitor deployment logs
GitHub
Manage GitHub repositories, Track issues and PRs, Review and merge code, Search code repositories
Netlify
Manage Netlify deployments, Configure site environment, Monitor build status, Access deployment logs
Polar Signals
Query profiling data, Analyze performance bottlenecks, Investigate resource utilization, Monitor CPU memory usage
Semgrep
Scan code vulnerabilities, Run custom rules, Detect security patterns, Analyze code quality
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 database tables, Manage user authentication, Handle file storage, Perform CRUD operations
Sentry
Monitor application errors, Analyze error traces, Search Sentry documentation, Query performance metrics
Cloudflare Docs
Search Cloudflare documentation, Access migration guides, Retrieve configuration examples, Find API references
Polar Signals
Query profiling data, Analyze performance bottlenecks, Investigate resource utilization, Monitor CPU memory usage
Cloudflare Analytics
Query traffic analytics, Monitor security events, Analyze performance metrics, Track bandwidth usage
Cloudflare Observability
Query Cloudflare analytics, Access infrastructure logs, Monitor performance metrics, Investigate security events
APIs and HTTP Requests
General-purpose tools for calling external APIs and handling HTTP requests and responses.
Hackernews
Retrieve Hacker News stories, Access user profiles, Monitor community discussions, Track trending topics
Exa
Neural web search, Semantic content discovery, Similarity-based research, AI content summarization
Neon
Manage Postgres databases, Execute SQL queries, Optimize query performance, Perform schema migrations
Linear
Manage Linear issues, Track project workflows, Search team documentation, Coordinate sprint cycles
Supabase
Query database tables, Manage user authentication, Handle file storage, Perform CRUD operations
Sentry
Monitor application errors, Analyze error traces, Search Sentry documentation, Query performance metrics
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.