"Keep a Changelog" matching MCP servers:

Local stdio MCP server (npx -y caveat-lang mcp) with five tools that validate, check, test and explain programs in Caveat, a rules language whose decisions keep their evidence, grounds and caveats. It also finds what depends on a piece of evidence, so a withdrawn input still leaves a past decision's original basis on record.

Offers a control surface for AI agent security with four independent checks: source-code scanning, tenant isolation, LLM content verification, and deploy gating. Currently in pre-release, with no functional scanning engines yet.

An MCP server that helps catch context drift in AI coding agents by comparing actual code changes against the original request, allowing users to keep or roll back unintended additions.

Query only the data you need from your JSON file and keep your context clean

Provides a read-only interface to audit and continue coding agent sessions by extracting plans, intents, and edit authorship from history across multiple agents (Claude, Codex, OpenCode, Antigravity, Pi) via MCP, CLI, and Python SDK.

A code review tool server based on Model Context Protocol (MCP) providing multi-dimensional code review and scoring.

locidx

An installable MCP server that reviews diffs/PRs against a target repository's own coding conventions, learned via RAG over its code, docs, and lint config, citing specific file:line sources.

Enables AI coding agents to build, evaluate, and validate ServiceNow Next Experience UI Framework components and projects, helping keep component code and now-ui.json manifests in sync while using live instance API metadata.

Enables headless control of a DOSBox-X guest, including memory reading and patching, framebuffer capture, input injection, and live code tracing without interfering with the host desktop.

Enables AI assistants to perform Git workflows with semantic commit messages, pre-PR secret audits, conflict resolution, and release changelog generation.

A read-only MCP server that recommends React components from a measured, curated snapshot by answering component-fit questions with terse verdicts and harness facts.

Tracks latest versions and breaking changes for popular SDKs, enabling agents to check version updates and potential breaking changes efficiently.

Enables AI coding agents to intelligently index and search codebases with sub-20ms retrieval, 8x memory compression, and cross-encoder reranking via MCP stdio.

Codebase Q&A agent with git-history awareness. Explore a repo with list_files, read_file, and search, plus git log, blame, and diff and a repo map to answer "why did this change?" questions. Runs locally as an MCP server for Claude Code and other MCP clients.

Enables local language models to request real-time peer review feedback from Google Gemini to improve response quality, accuracy, and completeness through AI collaboration.

A local MCP server for querying MQL5 documentation, including reference, algo book, and neural networks book, with tools for search, smart query, error diagnosis, and browsing.

Exposes tools that scan a repository's manifests, CI workflows and layout to generate truthful AGENTS.md/CLAUDE.md agent instructions, then audit those docs for drift such as dead commands, undocumented scripts and CI mismatches. Enables agents to keep their own onboarding documentation accurate and CI-verifiable instead of hand-written and rotting.

A validation layer for AI coding assistants that enforces explicit LLM evaluations on plans, code diffs, and tests to ensure safer and higher-quality code.

Provides documentation generation and analysis tools for AI agents, including JSDoc generation, README analysis, changelog generation, API documentation, and code comment analysis.