MCP Catalog
Browse 1,740 Model Context Protocol servers · JavaScriptClear
+9 more
MCP server for Polish legislation (Dziennik Ustaw / Monitor Polski) via Sejm ELI API.
MCP server for Polish administrative court rulings (NSA/WSA) via CBOSA with citations.
35 utility tools for AI agents — mate.tools API. Hash, regex, SEO, random, DNS, SSL, JWT.
Agent-payable web data over x402: 18 keyless services an agent pays per call.
Generate synthetic companies, documents & data via the Clutter API (e.g. to fill SharePoint).
Input/output safety for AI agents: prompt-injection scan, URL/IP check, pwned passwords, PII scan.
Security scan for AI-generated code: injection, SSRF, secrets, weak crypto, unsafe deserialization.
Email safety for AI agents: scan inbound for prompt-injection/phishing + outbound for secret leaks.
Supply-chain guard for AI coding agents: verify packages, check vulns/malware, detect typosquats.
Pre-send risk check for AI agents that move money — screen an address or payment URL before sending.
Deterministic web tools for AI agents: read URLs, metadata, email, scrape, RSS, DNS, SSL, HTTP.
Full Google Sheets MCP: 26 tools + run_sheets_script escape hatch. User OAuth, no service account.
Free dofollow backlinks for Canadian businesses. Claim, verify, and track NFC tap analytics.
Market context for AI agents: fresh regime, risk, narrative and scenario state via REST + MCP.
Snapshot tests for AI tool-call traces: diff, validate, and catch silent regressions.
Inject, parse, and strip [N] citation markers in RAG outputs.
Reliable CSV parsing + generation. Handles quotes, embedded commas, BOMs, CRLF.
Character-precise unified diff + patch application + patch parsing.
Convert HTML to Markdown or strip to plain text. For web-scraping agents.
Run JMESPath queries against JSON. Pure JS, no native binary needed.
Parse JSON5 (comments, trailing commas, unquoted keys) and emit strict JSON.
Token-budget-aware text handling: count, truncate, and chunk for LLM prompts.
Diagnose RAG drift: interpret scores, recommend thresholds, explain dimensions.
RAG retrieval IR metrics: recall@k, hit@k, MRR, NDCG@k, evaluate_batch.