MCP servers and skills: search, filter by where they run, and compare.
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
Agent-managed GitHub merge queue for Codex, Claude Code, Cursor, and MCP clients
PythonMIT★ 44No key
Verifies a GitHub issues cited fix actually merged before you trust a closed tracker. CLI + library, npm and PyPI.
PythonMITFew starsNo key
MCP server for the GitLab REST API — 91 tools, 7 resources, 6 prompts for projects, MRs, draft reviews, repository files, pipelines, CI/CD, approvals and issues. MCP 2026-07-28 (MCP 2.0); GitLab.com a
PythonMIT★ 6No key
Open source local-first PR scanner that finds dead code, security bugs, secrets, quality regressions, and AI-code mistakes before merge. For first timers refer to https://duriantaco.github.io/skylos/r
PythonApache-2.0★ 847No key
The deterministic merge gate for AI-generated agent capability changes — a local-first, static Tool-Use Readiness review for MCP, OpenAPI, and SDK tool surfaces. Open-source CLI + GitHub Action.
PythonApache-2.0★ 90No key
Autonomous multi-change orchestration for Claude Code — spec in, merged features out. Sentinel supervisor, parallel worktrees, developer memory, and more.
PythonMIT★ 36No key
Find and govern AI attack surfaces in application code, at PR time and inside your AI coding tool (MCP server, Claude Code hook). Free, OSS, runs offline.
PythonMIT★ 137No key
Executed-evidence verification gate for AI coding agents
PythonAGPL-3.0★ 4Few starsNo key
From ticket to reviewed pull request. Free and open-source, on your machine.
PythonMIT★ 330No key
MCP tools for Novyx governed actions, shared memory, audit, rollback, and evidence workflows.
PythonMIT★ 30No key
Get trusted, get merged, come back: an open-source guide and MCP server for contributors in the AI era.
PythonMIT★ 1Few starsNo key
The neutral meter for AI agent work: neither side keeps the count.
PythonMIT★ 1Few starsNo key
A Model Context Protocol (MCP) server for Zammad integration, enabling AI assistants to interact with tickets, users, and organizations.
PythonAGPL-3.0★ 45No key
The code-review MCP that reviews your merge request or pull request against the whole codebase, not just the diff. GitLab + GitHub, runs local.
PythonMITFew starsNo key
AINL helps turn AI from "a smart conversation" into "a structured worker." It is designed for teams building AI workflows that need multiple steps, state and memory, tool use, repeatable execution, va
PythonApache-2.0★ 650No key
Secure MCP server for GitLab projects, merge requests, issues, pipelines, and search
PythonAGPL-3.0★ 2Few starsNo key
Static analysis for AI agent configs, tool descriptions, and system prompts — catches vague tool descriptions, missing stop conditions, and schema gaps before they reach runtime. Zero-LLM, determinist
SkillApache-2.0★ 140No key
Can AI engines cite your site, and do they? Free 0–100 readiness score on an open GEO rubric, plus ask and weekly citation tracking via OpenAI, Perplexity, Gemini, Anthropic and OpenRouter with your o
SkillMIT★ 324No 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
Rebar can block work until an AI plan review passes, require signed completion verification before close, and reconcile its event-sourced ticket record with Jira across CLI, Python, and MCP. GitHub is
PythonApache-2.0★ 4Few starsNo key
Deterministic code-graph context engine for AI coding agents - PostgreSQL + Apache AGE + pgvector, MCP & REST, no LLM in the loop.
PythonMIT★ 75No key
MCP server for GitLab CI/CD — pipelines, schedules, MRs, files. Works with any GitLab (SaaS or self-hosted).
PythonMIT★ 2Few starsNeeds a key
Product-Led Growth (PLG) analysis toolkit that detects tech stacks, plans growth loops and builds the loop iteratively.
PythonMIT★ 128No key
Who stands behind it
