MCP Catalog
Browse 142 Model Context Protocol servers · Security · JavaScript · MIT LicenseClear
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Identity, trust, and A2A orchestration for autonomous AI agents. Official A2A partner.
120-module QA gate. Give Claude eyes (screenshots), ears (Sentry errors), and hands (verify fixes).
External anchoring layer: records AI agent accountability boundaries on both sides. Content-blind.
Audit a domain email deliverability via Apify: SPF, DKIM, DMARC, MX, blacklist, catch-all, age.
Independent AI-agent reviews: trust checks, evidence scorecards, incident registry, recommendations.
Classify any AI system under the EU AI Act: risk tier + binding Articles, verbatim from the law.
AI agent identity verification via SATP on Solana. Trust scores and on-chain attestations.
Scan codebases for LLM/AI SDK usage, exposed API tokens, and hardcoded secrets.
UI/UX design-audit MCP server: scores a project on 12 dimensions vs WCAG 2.2 + APCA.
VantaGate MCP Server & OpenAPI integration - Human-in-the-Loop for AI Agents
Local AES-256-GCM vault for AI agents. Secrets stay local, LLMs never see real API keys.
Scan any URL for WCAG accessibility issues (axe-core) and get per-element fixes for an AI agent.
Domain intelligence for agents: WHOIS, DNS, SSL/TLS, security headers, reputation, subdomains.
MEOK Governance Engine - 62 AI governance tools. EU AI Act + NIST + ISO 42001 + crosswalks. Most
Scan Solana/Anchor code against the Solana Security Standard and serve the ruleset to MCP clients.
Advanced filesystem operations with strict security boundaries for AI agents
Process management and monitoring for AI agents with strict security boundaries
MCP server for running Ox Security MegaLinter via mega-linter-runner
MCP server for compare-cli: contract version diff/redline and a drift gate as agent tools.
Mint tamper-evident receipts for AI agent actions. The notary layer for agent-to-agent transactions.
Verify citations in AI text: fetches each cited source, returns verdicts with evidence quotes.
MCP server: x402-paid & free tools for AI agents — provenance, quality scoring, action audit.
Pre-action gates that block AI agents from repeating known mistakes.
Verifiable action logs for AI agents. Every action is recorded in a SHA-256 hash chain.