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Cross-platform shell built around structured data: pipelines pass tables instead of plain text, and you can open and query JSON, CSV, TOML and more directly. Default builds include nu --mcp, which serves it to agents as an MCP server.

Converts PDFs, images, PPTX, DOCX, XLSX, EPUB and more into Markdown, JSON or HTML, preserving tables, formulas and layout, with optional LLM help for higher accuracy. Needs Python 3.10+ and PyTorch; large-scale commercial use of the model weights needs a paid license.

PostHog's official hosted MCP: lets agents query product analytics with HogQL, manage feature flags and A/B experiments, and investigate errors and session replays. Sign in to PostHog to authorize; tool calls are free, though a few LLM-powered tools count toward AI usage.

Turns a new epic idea into a PRD: problem and goals, personas, user journeys, functional and non-functional requirements, success metrics and out-of-scope items, asking questions when information is missing, saved as Markdown. From GitHub's awesome-copilot collection.

Writes product requirement docs for software and AI features: first asks about the problem, success metrics and constraints, then outputs an executive summary, user stories, technical specs and risk analysis with measurable requirements. From GitHub's awesome-copilot community library.

Browser automation MCP server open-sourced by ByteDance in the UI-TARS-desktop repo: drives pages through Puppeteer accessibility data with an optional vision mode, running locally over stdio or remotely over SSE or Streamable HTTP.

ByteDance's open-source multimodal agent CLI: operates browsers via vision or the DOM and calls terminal, file and MCP tools to complete tasks, with a Web UI and headless server mode. Needs Node.js 22+ and a model API key.

Detects your CPU, memory and GPU and scores open models on whether they run, speed, quality and context, then works with local runtimes like Ollama, llama.cpp and MLX to download and benchmark them. recommend --json gives agent-friendly output.

Local model gateway that routes requests from Claude Code, Codex and other coding agents to providers like DeepSeek, Kimi, Gemini and OpenRouter, with failover, rule-based routing and request logs. Bring your own API keys.

Headless browser written from scratch in Zig for AI agents and automation, using less memory and running faster than headless Chrome in official benchmarks. fetch turns pages into Markdown, and it can serve CDP or MCP. Telemetry is on by default (an env var disables it); Windows needs WSL.

Trading research agent from HKU's HKUDS whose MCP server offers 70+ tools for quotes, financials, backtesting and research across A-shares, Hong Kong and US stocks and crypto. Needs local Python; HK, US and crypto research need no API key. For research only; not investment advice.

When a user asks whether a skill exists for some task, searches the skills.sh ecosystem with the skills CLI, then recommends and installs a fit. Maintained by Vercel Labs and shipped in the skills CLI repo.

Package manager for the open Agent Skills ecosystem: one command installs skills from GitHub and other sources into Claude Code, Codex, Cursor and dozens more agents, with search, update and removal. From Vercel Labs.

Give it a person's name or a vague need and it researches and distills their mental models, decision style and voice into a callable persona skill (e.g. Munger, Feynman, Jobs) to aid analysis and decisions. Works with Claude Code, Codex and other agents.

Lightweight command-line JSON processor that slices, filters, maps and transforms JSON with concise expressions and no runtime dependencies. A staple for agents parsing API responses and logs.

Official CLI for Tencent's open-source knowledge base platform WeKnora: upload documents, manage knowledge bases, run hybrid search and answer questions from them, or serve as a read-only MCP. Needs your own WeKnora deployment and a source build with Go 1.26+.

Screens resumes against a role rubric into a cited shortlist, ignoring irrelevant details like name and age; drafts invite, hold or decline replies, schedules interviews and builds onboarding checklists. Gmail and Calendar are optional, sending only after you confirm. Official from Anthropic.

Anthropic's official knowledge work plugin: one question searches your connected chat, email, cloud docs, wiki and project tools at once and returns a sourced answer; can also produce daily or weekly digests. Preset MCP connectors for Slack, Notion, Atlassian, Asana and more, each needing auth.

Quickly pre-screens incoming NDAs and sorts them green, yellow or red into standard approval, legal review or full review, focusing on non-competes, non-solicitation and missing carve-outs. Part of Anthropic's official legal plugin.

Performance review season helper: generates self-review and manager review templates and calibration materials, summarizes rating distributions and promotion cases, and rewrites vague feedback into specific behavioral examples. Works in plain chat. Official from Anthropic.

HR plugin: drafts offer letters, generates onboarding checklists, runs performance reviews, answers policy questions, and produces compensation benchmarks and people analytics reports. Can connect to HRIS and ATS systems. Official from Anthropic.

Builds onboarding plans for new hires: a pre-start checklist (accounts, equipment, buddy), day-one and first-week schedules, and 30/60/90-day goals. Works in plain chat; with an HRIS, knowledge base or calendar connected it pulls in team info and books day-one events. Official from Anthropic.

Writes stakeholder updates by audience and cadence: weekly or monthly reports, launch announcements or risk escalations, and can rewrite the same progress as an executive summary, an engineering deep dive or a customer-facing version. From Anthropic's official product-management plugin.

Apollo.io's official plugin: describe your ideal customer profile in plain language to find prospects, enrich contacts with emails, phone numbers and company data, and bulk-add them to outreach sequences. Connects to Apollo's remote MCP; needs an Apollo account, and enrichment uses credits.