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