MCP Servers 250

Check a domain's A0-A4 trust level and verified facts before your agent acts.

Federal drug shortages and recalls joined to the federal contracts that buy those drugs.

Query the ATO in plain English — tax by postcode, corporate tax, GST, super, charities.

Hyprland/Wayland computer-use MCP: grim screenshots + uinput click/type + hyprctl targeting

Give an agent its own inbox: send, receive, and pull signup codes from real email.

SKILL-02 (not SKILL-01): AI influencer search on TikTok, Instagram & YouTube.

Live Amazon product, review, search, deal, offer/stock and seller data across 20 marketplaces.

Query Australian weather + air quality — forecasts, current obs, 80yr archive (BOM).

Chuẩn hoá địa chỉ Việt Nam và tra cứu doanh nghiệp theo tên hoặc mã số thuế, qua DataCore A2A.

Twelve US filing and career-site streams in one schema: SEC, FDA, NIH, contracts, Congress, hiring

AI financial agent: due diligence, SEC 10-K, Kelly Criterion.

Multi-hazard geophysical risk scoring, prediction, weather, insurance, and climate tools

Grounded, safety-checked appliance operation packages for robots and agents.

Publish structured, AI-readable business identity data as an MCP server in minutes.

Check packages for CVEs, slopsquatting, and CISA KEV before your AI agent installs them.

Six-gate governance for AI agents: PROCEED/PAUSE/HALT decisions with hash-chained audit trails.

Real-time CVE, exploit, and vulnerability intelligence for AI assistants (350K+ CVEs, 115K+ PoCs)

MCP server security scanner: detects prompt injection, credential leaks, SSRF, tool poisoning.

Let AI agents create configurable voice agents via meeting rooms and return structured data.

US Rx price comparison + foreign-brand US-equivalent lookup.

MCP server for the LinkedIn Marketing API — campaigns, analytics, creatives.

Local-first crypto perp/spot execution (TWAP/maker) across 11 venues; keys stay on your machine.

Query the RBA in plain English — cash rate, FX, lending and deposit rates.

Structured failure knowledge for AI agents — dead ends, workarounds, error chains