"Semgrep static analysis tool" matching MCP servers:

a claude code harness engineering tool

Production-ready MCP server starter templates in TypeScript and Python. Includes tool, resource, and prompt patterns with Claude Desktop integration configs.

Enables Claude Code to dispatch opencode CLI tasks as background processes with immediate task handle return, status polling, and result retrieval, avoiding tmux and log parsing issues.

AIContextBuilder (AICB): Roslyn MCP server for C#/.NET code intelligence. Gives coding agents semantic code analysis and navigation instead of text search: callers, change impact, implementations, dependency injection, covering tests, side effects, dead code and token-budgeted context. Installs as a dotnet tool and analyzes any csharp solution locally.

Official implementation of Anthropic's 'think' tool that provides Claude with a dedicated space for structured reasoning, improving performance by up to 54% on complex tasks requiring multi-step problem solving.

Enables AI tools to interact with browsers for enhanced frontend development, providing context to LLMs through tools like API call analysis, screenshots, element selection, and documentation ingestion.

A fire-and-poll MCP server that lets Claude Code run long background jobs without hitting tool-call timeouts.

Enables hands-free, voice-driven management of T3 Code projects, threads, agent runs, and pending actions via GPTVoice tool calls.

A specialized server that provides advanced TypeScript code manipulation and analysis capabilities, enabling refactoring, navigation, diagnostics, and module analysis through Claude.

MCP server connecting Claude/Cursor to Codex CLI, enabling code analysis via @ file references, multi-turn conversations, sandboxed edits, and structured change mode.

Transforms any prompt into a fully functional, production-ready product with zero human intervention by providing 150+ autonomous tools covering all aspects of software development.

Integrates the Atlassian Rovo Dev CLI with the Model Context Protocol, allowing AI assistants to perform deep code analysis using Rovo Dev's large context capabilities. It enables features like repository-wide queries, file-specific analysis, and specialized coding modes through a standard MCP interface.

This is a powerful Model Context Protocol (MCP) server that integrates multiple AI coding agents—Anthropic Claude Code, OpenAI Codex, and Google Gemini—directly into your workflow. It enables seamless cross-provider analysis, leveraging Gemini's massive token window, Codex's specialized coding capabilities, and Claude's advanced reasoning.

Enables agents to explore a static RTTI, call, and cross-reference graph of a game executable, querying functions, classes, vtables, strings, globals and memory through search, disassembly, signature and SQL tools. It also supports a provenance-tracked naming lifecycle where labels are proposed with evidence, reviewed, and ported across game patches.

Specialized MCP server for coding workflows with web search and image analysis tools.

A server component of the Model Context Protocol that provides intelligent analysis of codebases using vector search and machine learning to understand code patterns, architectural decisions, and documentation.

Code-pinned team memory for AI coding agents — typed artifacts (Decision/Analysis/Debug/Task), MCP-native workflow, self-host with Docker Compose.

Supercharges AI coding agents with semantic code intelligence, providing pre-built knowledge graphs for surgical context, faster answers, and fewer tool calls.

Provides C# coding agents with compiler-accurate symbol analysis, including references, renames, and impact analysis for .NET solutions.

Proxy MCP server that translates tool calls into TypeScript code generation, enabling LLMs to orchestrate multi-tool workflows efficiently via code.