Developer tools

A lightweight Java IDE for AI agents: incremental builds, fast tests, HotSwap and live debugging.

Read-only GitHub repos, issues, PRs and commits, with tool descriptions tuned on a benchmark.

Governed self-managed GitLab + Gitea CI/CD ops: pipelines, runners, artifacts, RCA. 28 tools.

Terminal for AI agents on AI & chip stocks: who owns, buys, sells — every figure from SEC filings.

Lets AI agents drive a real terminal: type, press keys, click, read the screen, take screenshots.

Local read-only MCP tools for Git repository archaeology, churn, hotspots, and hygiene. Tools...

Git-friendly memory for AI coding: a tree of thread summaries with inherited context

AWS, GitHub and connected services from your agent, no keys to paste, plus local shell and browser.

Official DevSpeak MCP server — translate technical text into formal specs from any AI IDE or agent

Local-first shared memory for multiple AI agents that compounds with use; Markdown + git, MCP + CLI.

CI-friendly accessibility audit for chart color palettes: WCAG contrast, CVD simulation, OKLab ΔE.

Local MCP server for Baton: edit git-native API requests, collections, environments and scripts.

Adversarial Quality Gate MCP for vibe-coding: IDE AI vs Critic AI, human decides on deadlock

MCP server for GitHub repo health, commit summaries, issue triage, and RAG Q&A.

Deployment-readiness checks for document-QA and extraction AI: grounding, extraction, CI gate.

Call Google's Antigravity CLI (agy) headlessly from non-TTY contexts (subprocess, MCP, CI).

Summarize runtime declarations across local manifests and CI files without returning versions,...

PR blast radius and 0-1 risk score from git history, so low-risk PRs can be auto-approved.

Every Syncro PSA and RMM workflow in your terminal, plus a local database, offline search, and

Explain coarse Git and test-build evidence changes without source diff contents. Tools include...

Governed Docker + Portainer container-host ops: reads, RCA analyses, guarded writes. 38 tools.

GitLab over MCP from your own account: issues, merge requests, reviews, the repository and CI.

Persistent knowledge graph and MCP server for AI workflows with git-tracked project context.

Read-only git insights for AI assistants: hotspots, change coupling, release notes, stale branches