"SemVer" matching MCP servers:

Enables coding agents and developers to detect SemVer 2.0 breaking changes by statically diffing Python AST public API surfaces, catching removed exports, parameter reordering, and other incompatible signature shifts. It returns deterministic refactoring plans and dependency graph metrics without any external pip dependencies.

Enables autonomous coding agents to audit source-code changes for SemVer 2.0 breaking changes by inspecting AST public API surface diffs, parameter reordering, and removed exports. Produces deterministic refactoring plans and dependency metrics using only the Python standard library.

Translates a lockfile diff into a human-readable upgrade plan. For every dependency bump (npm or PyPI) returns semver class, breaking changes from GitHub release notes, CVEs fixed in the range, migration guide links, and a clear per-package recommendation. Bulk tool ranks up to 50 package changes in parallel by risk (security > caution > review > likely-safe > safe).

Autonomous cross-source inconsistency and contradiction intelligence engine for AI agents. Detects specification drift, SemVer conflicts, and infrastructure mismatches across code, docs, and deployments.

Enables AI assistants to access Macroforge documentation, validate TypeScript code with @derive decorators, expand macros, and retrieve macro documentation.

An MCP server that scans codebases to extract structural information (classes, functions, etc.) with flexible filtering options and outputs in LLM-friendly formats.

A Model Context Protocol server for IDA interaction and automation. This server provides tools to read IDA database via Large Language Models.

TypeScript-based MCP server designed to enhance code editing experiences by providing features such as hover information, code completion, and diagnostics.

MCP server for collecting code from files and directories into a single markdown document.

A Model Context Protocol (MCP) server that provides code analysis capabilities using tree-sitter, designed to give Claude intelligent access to codebases with appropriate context management.

Provides static code analysis for enterprise-scale Haskell codebases with 40+ comprehensive tools for analyzing modules, functions, types, classes, imports, and architectural dependencies through real-time queries.

Enterprise-grade code intelligence server for AI assistants that analyzes codebases for due diligence, tech debt, security vulnerabilities, and code quality.

An MCP bridge that enables Claude Code to consult the Kimi AI model in a structured challenge-loop for code review, debugging, and architecture evaluation.

Provides AI coding assistants with real-time security scanning superpowers, including SAST, secrets detection, dependency CVE scanning, and web vulnerability assessment.

Enables AI-powered security scanning of code changes and files through coding assistants, detecting vulnerabilities and providing fixes.

AST-aware TypeScript/JavaScript codebase exploration for AI agents, providing high-precision symbol resolution, reference finding, and structural analysis via MCP tools.

Enables AI agents to assess AI-readiness and improve AI leverage through analysis tools, resources, and prompts for project scanning and remediation.

A production-grade MCP server providing advanced code intelligence capabilities such as semantic search, dependency analysis, and natural language Q&A across multiple programming languages.

Exposes type-aware code navigation and fast file search to AI agents via language servers, enabling definitions, references, symbols, and file lookup without reading entire codebases.

Reviews MCP servers for quality, security, and best practices, providing scores and improvement plans.