Automate workflows and connect AI agents to Semgrep. Metorial is built for developers. Handling OAuth, compliance, observability, and more.
The Semgrep integration lets you scan code for security vulnerabilities and code quality issues directly from your development environment, enabling you to query findings, run custom rules, and review security patterns without leaving your workflow.
Metorial has 600+ integrations available. Here are some related ones you might find interesting.
The Hackernews integration lets you search and retrieve stories, comments, and user data from Hackernews directly within your workflow, enabling you to analyze trends, monitor discussions, and gather insights from the tech community.
The Exa integration lets you search the web using neural search capabilities and retrieve high-quality, AI-ready content directly within your MCP-enabled applications.
The Neon integration lets you connect to your Neon Postgres databases to query data, inspect schemas, and manage database operations directly from your AI assistant.
The Supabase integration lets you query and manage your database, authentication, and storage directly from your AI assistant, enabling natural language database operations and real-time data access.
The Linear integration lets you create, update, and search issues directly from your workspace, enabling seamless project management and task tracking without leaving your development environment.
The Sentry integration lets you monitor and debug application errors directly from your development environment, enabling you to query issues, view stack traces, and manage error reports without leaving your workflow.
The Firecrawl integration lets you scrape websites, extract structured data, and convert web pages into LLM-ready formats directly from your MCP-enabled applications.
The Apify integration lets you run web scraping and automation actors directly from Claude, enabling you to extract data from websites, automate browser tasks, and access datasets without leaving your conversation.
The Atlassian integration lets you manage Jira issues, Confluence pages, and project workflows directly from your application, enabling seamless task tracking, documentation updates, and team collaboration without switching between tools.
Metorial helps you connect AI agents to Semgrep with various tools and resources. Tools allow you to interact with perform specific actions, while resources provide read-only access to data and information.
Find guides and articles to help you get started with Semgrep on Metorial.
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A Model Context Protocol (MCP) server that brings the power of Semgrep's static analysis capabilities directly into your AI-assisted development workflow. This server enables seamless integration with Semgrep's code scanning and security analysis tools, allowing you to identify bugs, detect security vulnerabilities, and enforce code standards without leaving your development environment.
The Semgrep MCP server acts as a bridge between MCP-compatible AI assistants and Semgrep's comprehensive static analysis engine. By exposing Semgrep's functionality through the Model Context Protocol, this server enables natural language interactions with one of the industry's most powerful code analysis tools.
This server provides direct access to Semgrep's core functionality, allowing you to:
Perform static analysis across multiple programming languages and frameworks. The server supports Semgrep's extensive language coverage, enabling you to maintain consistent code quality standards across diverse technology stacks.
Identify security issues early in the development cycle by running OWASP Top 10 checks, detecting injection flaws, authentication problems, and other common security vulnerabilities that could compromise your application.
Apply your own Semgrep rules or leverage the extensive rule registry to enforce team-specific patterns, catch anti-patterns, and maintain architectural consistency across your codebase.
Configure scans with various parameters including rule sets, file paths, severity levels, and output formats to match your specific analysis needs.
Security Auditing: Quickly scan code for known vulnerabilities and security anti-patterns before committing changes or during code review processes.
Code Quality Enforcement: Automatically check for code smells, deprecated patterns, and violations of team coding standards.
Compliance Verification: Ensure code adheres to regulatory requirements and industry best practices through automated policy enforcement.
Technical Debt Management: Identify areas of technical debt and prioritize refactoring efforts based on concrete analysis results.
Integrating Semgrep through MCP creates a powerful combination where AI assistance meets rigorous static analysis. Instead of switching between tools or manually running command-line scans, you can request code analysis naturally and receive actionable insights immediately. This streamlined workflow helps you catch issues earlier, maintain higher code quality, and ship more secure software faster.
Let's take your AI-powered applications to the next level, together.
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.