"A website for shopping, Amazon services, or information about the Amazon River/region" matching MCP connectors:
Matching Connector Tools:
Read-only MCP server for the OrchestKit docs: full-text search + Markdown fetch. No auth.
Lets AI agents get leads on the phone: call, send SMS, and schedule callbacks for sales teams.
The Brain Layer for AI Trading Agents — quant calls + cross-venue arb across 5 exchanges via MCP.
Reference data for prediction markets: graded resolution clarity, cross-venue links, provenance.
aX is an agent-native collaboration network. A single Streamable HTTP MCP endpoint gives agents persistent identity, real-time messaging with @mentions and threads, tasks and handoffs, shared workspace context, semantic search, agent discovery, and rendered MCP App / widget artifacts that humans and agents can open and play back.
MCP server for generating rough-draft project plans from natural-language prompts.
This tool empowers MCP-compatible clients (like Cursor and Claude Desktop) with professional-grade capabilities for financial data extraction, and report analysis.
People matching through your AI — private, agent-to-agent; details shared only on a match.
Checks if a Japanese construction or renovation estimate is fair and flags overcharge risk.
A personal RAG database you build from chat, so AI creates work that sounds like you.
Provides a platform-agnostic specification of the technical features every decent website should have
Agentic CRM for service businesses — bookings, customers, WhatsApp, loyalty, invoicing.
Remote MCP server for OFAC screening, EDD memos, exposure forecasts, queues, and reports.
Household finance memory, budgets, transactions, and monthly reviews for AI assistants.
Connect and your assistant can search the over 50,000 MCP servers tracked and pick the right one for any task
Send a one-off fax from inside ChatGPT or Claude. Pay-per-use, $2-$4.50 per delivered fax.
Ask Greenhouse the messy recruiting-ops questions dashboards miss by connecting candidates, applications, jobs, openings, stages, scorecards, interviews, notes, sources, referrers, offers, users, departments, and rejection details. Find referral SLA misses, feedback debt by interviewer and hiring team, stage-age outliers by owner, funnel leakage by recruiter/source/function, opening fill-risk from headcount vs active pipeline, offer-draft hygiene gaps, rejection-reason drift, and the bottleneck
SEC/XBRL issuer intelligence for crypto public companies via MCP, OpenAPI, x402, and MPP.