MCP servers and skills: search, filter by where they run, and compare.
Reference server from the MCP project for reading diffs and history and making commits and branches in local Git repos.
OfficialPythonMIT AND Apache-2.0No key
OpenAPI spec in, chaos test harness out: WireMock stubs, contract tests and failure scenarios from a team of local LLM agents.
PythonMIT★ 2Few starsNo key
Open-source coding agents memory. Records issues, attempts, fixes and decisions, then warns your agent before it repeats an approach that already failed. Native MCP server for Claude Code, Cursor, Ant
PythonMIT★ 866No key
AI-powered CV and resume builder using Model Context Protocol. Automatically sync your achievements from Jira, Credly, LinkedIn, and git. Keep your CV always up-to-date.
PythonMIT★ 15No key
Superpowers your agent's debugging: what introduced this bug, and is my fix actually complete? Deterministic, offline, read-only, MCP-native.
PythonMIT★ 6No key
Commit policy as code inside your AI agent: the MCP server for Commit Check.
PythonMIT★ 1Few starsNo key
Give git-like & traceable memory to OpenClaw and any coding agents. By https://memov.ai/ aka Entire CLI for every coding agents by MCP. Self-evolution for skills.
PythonMIT★ 194No key
Coding-agent tools on TypeSafe's Jev, measured in public. review-router: caught 13 of 13 CVE fixes a filename rule sent to a quick review. jev-gate: a strict second lock, 0 of 12 dangerous test comman
PythonMIT★ 10No key
Persistent memory for AI coding agents via MCP: a bitemporal knowledge graph of your codebase, served to Claude Code, Cursor, Gemini CLI, and any MCP client. Tree-sitter and Gemini Flash into Neo4j vi
PythonMIT★ 12No key
Catch your AI agents when they lie about what they shipped — verifies claims against git instead of believing the agent.
PythonMIT★ 20No key
Jeffy Loop is an autonomous software-engineering control system that forces an LLM to continuously audit, act, verify, checkpoint, and prove convergence.
SkillMIT★ 9No key
Structural code quality metrics for agent-written programs.
PythonBSD-3-Clause★ 29No key
Config-driven automation for semantic versioning, conventional commits, and changelogs across Python, Node, Rust, and Go via CLI, GitHub Actions, and pre-commit hooks.
PythonMIT★ 1Few starsNo key
MCP server for Bitbucket Cloud API - Pull requests, pipelines, code review tools
PythonMIT★ 3Few starsNo key
Description: Local-first pre-commit policy guard for AI-agent repositories. Website: https://pypi.org/project/aigenguard/
PythonMIT★ 3Few starsNo key
MCP server for chunking and navigating large diff files in AI-assisted code review. Empowers your AI Code Reviewer to better work on large changes.
PythonMIT★ 8No key
OMI/Obsidian memory tooling (Open Knowledge Format) for AI agents: reproduce the integration on any machine, plus a local web app to view, edit, and add memory entries.
PythonApache-2.0★ 16No key
Git-first memory for AI agents: Markdown files are truth, the index is disposable, writes are reviewable commits.
PythonAGPL-3.0★ 9No key
Local merge queue for parallel LLM agents in Git worktrees. Test combined code changes, require approval for Git pushes, and recover interrupted pushes.
PythonMIT★ 5No key
Zendesk MCP server for Claude Code and other MCP clients
PythonApache-2.0★ 7No key
Gives Claude Code read/write access to a markdown note vault stored in S3
PythonMITFew starsNo key
Bayesian memory that learns from feedback for LLM agents
PythonMIT★ 9No key
Memory for every coding project on every machine: projects, reusable assets, sessions, decisions and commits, exposed to agents over MCP.
PythonApache-2.0★ 2Few starsNo key
Who stands behind it
