Tools for building, shipping and operating software.
OpenCode plugin: run the crib (cribsheet) memory + code-index MCP server via sharedserver, register its endpoint, inject the reach-for-crib directive, and ship the /crib command. Stands down when a combiner already serves crib.
MCP server for Google Drive - list files, read content from Google Docs/Sheets/Slides
MCP server for Next.js build stats, chunk attribution, and bundle optimization advice.
MCP server for AI agents to investigate OpenTelemetry traces, metrics, and logs
[](https://smithery.ai/server/jira-mcp)
CLI and MCP server for the Gravity kanban board. Manage tasks from your terminal or connect AI agents like Claude Code.
MCP server for Atlassian Confluence and Jira Cloud APIs
Operator console (a pi extension) + skill for pi-dispatch: run the pi coding agent as a self-hosted service. A /dispatch TUI for the queue, spend caps, run history, editable GitHub, GitLab, Forgejo and Azure DevOps triggers (cron/label/comment/PR/MR/work
MCP server for analyzing V8/Chrome CPU profiles with line-level tick attribution.
Put your node_modules on a diet - find unused dependencies, analyze health, and reduce size
MCP server exposing full Chrome DevTools Protocol debugging: breakpoints, stepping, call stacks, eval, and source maps. Also supports tab control, JS execution, screenshots, and network monitoring.
授客AI官方CLI工具 - 支持AI Agent Skills
Github Copilot modernization tools for MCP
MCP server for analyzing React Profiler exports: rerenders, commit spikes, slow components.
Give your coding agent the dependency graph it is about to change: scan, diff, explain, audit
Terminal-first coding agent — runs locally with Ollama, DeepSeek, OpenAI, or any OpenAI-compatible endpoint
Local-first context engine for AI coding agents. Pre-indexes your codebase into a dependency graph and feeds any MCP agent only the code that matters — 87% fewer tokens per call. New in 2.5: mechanical work verification and a PII/secret scanner. Works wit
MCP server that lets agents work inside your OpenProject instance, following your workplace's written conventions
Real-time observability for AI coding agents — Claude Code & OpenCode. Track tokens, costs, tool calls, agents, MCP, sessions, quotas and orchestration locally.
Author, validate, and preview Huell-format docs (docs.json + .mdx) — plus an MCP server so AI agents can write them correctly.