7694 Model Context Protocol servers — searchable, rated, ready to install.
Find services by server; explicitly build, publish and update components or source with Hostwatch.
Build, edit and sync Google, Microsoft, Reddit and Meta ad campaigns from your assistant.
Turn your resume into a polished PDF and web page: import, build, check, and publish from chat.
Extract regular expressions from code, each with a ReDoS safety verdict.
Wraps the evolveguard CLI as a single generic MCP tool for agent-skill file safety checks.
Code review as an MCP server — structured reviews with OWASP security scanning.
Attest agent decisions and verify records on a public ledger. Evidence, not just data.
Secure Python sandbox for data optimization and Matplotlib rendering via x402 microtransactions.
Persistent, governed institutional memory for Claude Code — specs, decisions, learnings.
AI product expert answering from live source code, with sources and a verification status.
China A-share market data for research, backtesting and AI agents via MCP.
Statistical regression testing for LLM agents: p-value, effect size, and CI on behavior change.
Validates PESEL/NIP/REGON/IBAN/Luhn/ISBN/EAN/BIC/VAT; RPN, dates, hash, tokens, random, encode, time
MCP server for the GitHub CLI (gh). Read-only by default; single Go binary.
Published driving guides, source-backed UK and US test-centre search, and study-plan previews.
Rust MCP server and CLI for UniFi Network controller operations.
Linters check your code. Invigil checks whether your repo is legible — to newcomers and AI agents.
Source-linked CodeGraph exploration, ranked search, and static navigation for coding agents.
Catch bad animations before they ship. Deterministic motion audit + vision-LLM design review.
The website platform for AI agents. One API to build, host, and operate real websites.
Scans live pages with the AudioEye rules engine and maps accessibility issues to JSX source.
Provenance-tagged knowledge graph of AI/ML research: papers, citations, methods, code.
Run tickets, boards, OKRs and cloud coding agents in your Builderforce workspace
Courses that argue back: learn adaptively, build real work, then defend it to an AI stakeholder.
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