"Semgrep static analysis tool" matching MCP servers:

A Model Context Protocol compliant server that integrates Semgrep static analysis tool with AI assistants like Anthropic Claude, enabling advanced code analysis, security vulnerability detection, and code quality improvements through a conversational interface.

Provides comprehensive code analysis through three MCP servers: static analysis for code quality and security, dependency analysis for package management and vulnerabilities, and complexity analysis for maintainability assessment across multiple programming languages.

Enables integration of Semgrep in development environments via the MCP protocol, supporting static code analysis, rule management, and scan result operations.

Enables static analysis of code snippets and public GitHub repositories using ruff and semgrep through a secure MCP SSE server.

Provides static analysis of ROS 2 workspaces, enabling inspection of packages, dependencies, interfaces, launch files, and robot descriptions without running ROS 2.

Static security linter for MCP servers. Scans tool definitions for vulnerabilities (path traversal, SQL injection, SSRF), scores description quality, and auto-rewrites descriptions for safer agent tool selection.

An MCP server that provides utility tools for text analysis, URL metadata fetching, and temperature conversion.

A Model Context Protocol server that provides a scratchpad tool for LLMs to organize thoughts, take notes, and plan approaches to complex problems.

Static worst-case token-budget analysis for LLM-agent workflows using AST analysis to identify certifiable, default-dependent, non-certifiable, and runaway units, with optional signed budget certificates.

MCP security server for AI coding agents. 12 tools: pre-install guardian, vulnerability audit, supply-chain attack detection via static code analysis, and CycloneDX 1.6 SBOM generation. Zero runtime dependencies.

Audits MCP tool descriptions for quality and reliability, scoring them 0-100, detecting smells, and providing rewritten versions for better agent accuracy.

Lifts machine code to VTIL intermediate language and emits pseudo-C for VM handler characterization. Complements concrete execution tools with static IL analysis.

Sentiment Analysis AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

FastMCP-based tool for extracting UI component code from Uiverse.io, supporting HTML/CSS, React, Vue, Svelte, and Lit frameworks.

An intelligent MCP toolset for software testers that monitors code changes, analyzes test impact, recommends tests, and assesses risk, supporting multiple AI coding frameworks via dual transport modes.

A TypeScript MCP server that connects AI agents to Black Duck Coverity Connect for static analysis defect management, enabling browsing projects, streams, and defects with event traces.

Enables AI coding agents and IDEs to execute ASIC physical design flows including floorplanning, placement, clock tree synthesis, routing, and static timing analysis through the OpenROAD engine, returning concise low-token JSON metrics.

Graph-based tool retrieval for LLM agents. Builds a tool graph from OpenAPI/MCP specs and retrieves multi-step workflows via hybrid search (BM25 + graph traversal + embedding), recovering accuracy from 12% to 82% with 79% fewer tokens. Also works as an MCP Proxy to aggregate multiple servers behind 3 meta-tools.

Enables AI assistants to understand and analyze Spring Boot codebases through static analysis, allowing natural language queries about endpoints, classes, dependencies, and architecture without running the application.

Enables Claude to search a THING API for matching items and return top results with names and ids, handling empty results and API errors cleanly.