"How to implement intent recognition in MCP" matching MCP connectors:
Matching Connector Tools:
290+ quality-scored API capabilities for AI agents across 27 countries via MCP.
Website QA for your coding agent: audit SEO, performance, security, accessibility over MCP.
Scores a business's online presence 0–100 and names the top issues to fix — search visibility, whether AI assistants can read and recommend it, speed and first impression, trust, and how easy the business is to reach. Give the scan_website tool a URL and it returns the score with the top issues, in chat. English and Arabic. By BottleTech (bottletech.net).
Live censorship, China economic, and tamper-evident AI evaluation tools with bounded analysis.
Find your AI agent's likely failure mode, get runtime settings, and clarify ambiguous prompts.
Fixter's MCP provides a stream-lined agentic way to onboard, setup and use the Fixter monitoring and observability platform. Check out more at https://fixter.dev/
Read-only Amazon SES observability: search events, inspect bounces, pull delivery stats.
AI agent infrastructure: dedup, cost prediction, validation, governance, failure intelligence.
Ask about your Dreambooth Studio photobooths: sessions, revenue, credits, projects, device status.
Monitor uptime and incidents, run checks, and publish status updates from your Uptimepage org.
Hosted MCP server for agent governance: MCP config audits, injection scans, scope-policy checks.
SupplyMaven supply chain risk management data including manufacturing, port and airport congestion, border, materials and macro indexes
Stateful WebSocket session registry with per-connection Shannon entropy delta tracking for schema di
Open weekly security base rates (CC BY 4.0), plus live DMARC, takeover and WHOIS checks.
Inventory and audit your agent fleet over MCP: audit_mcp_config returns risk-ranked findings with a 0-100 posture score, scope_check ranks tool-manifest blast radius, audit_skill_file and injection_scan screen untrusted skill files and text, and inventory_report builds a governance inventory with risk tiers. All analysis is deterministic and local to the request.
Anomaly detection API powered by physics simulation. Scan any data for outliers.
Diagnose x402 seller endpoints: what is wrong with your 402 challenge, and how to fix it.
Measured latency, time to first token and uptime for ~45 AI inference APIs, by region.
Trust scores and dated liveness/drift facts for MCP servers, from the lastseen.dev register.
Discover Frontier inference capabilities and read sanitized usage through read-only tools.