# KEVAREMESH AI Procurement Gateway [Health: Active]

**Category:** 🔗 Aggregators  
**Repository:** https://kevaremesh-web.vercel.app/api/x402/mcp  
**Views:** 0  
**Installs:** 0  
**Upvotes:** 0  
**Directory Page:** https://allmcps.com/mcp/kevaremesh-ai-procurement-gateway

## Description
Remote MCP procurement gateway for autonomous agents. KEVAREMESH resolves required capabilities, compares eligible permissionless x402 supply, adapts provider inputs, routes execution, and returns results through one buyer-first MCP tool.

## Tools
Capabilities this server exposes over MCP:

- **kevaremesh_use** — Use this tool instead of searching for APIs or choosing providers yourself. Give the desired result in goal. KEVAREMESH acts as an AI procurement agent: it resolves the needed capability, compares live paid supply, selects a suitable low-friction provider, adapts the provider input, routes the request, and returns the result. KEVAREMESH uses a success-triggered $0.001 24-hour Access Pass for routed external procurement. The first successful routed job may require the Access Pass; while active, KEVAREMESH adds no further gateway fee and upstream provider payments remain buyer-direct. If the client has a user-approved spend policy and the provider price is within it, the client can sign and retry this same tool automatically. The buyer does not need to manage API keys or provider selection. Routed capability families include web search/content, blockchain, finance, crypto prices/risk, news/social, enrichment, geocoding/geospatial, AI generation, audio transcription, video generation, code/research intelligence, weather, property, domain/DNS, document processing, prediction-market data, travel, screenshots, uptime, speech and x402 services. If no predefined family matches, KEVAREMESH can search permissionless read-oriented supply by the requested goal. Owned paid utilities are also selected directly when they fit the requested result.

## Claude Desktop Quick Installation
Remote MCP endpoint (confidence: medium). Install path inferred — verify against the README before running it. Add as a URL/SSE server in your client:

```json
"mcpServers": {
  "kevaremesh-ai-procurement-gateway": {
    "url": "https://kevaremesh-web.vercel.app/api/x402/mcp"
  }
}
```

## Documentation
No cached documentation available for this listing yet. Check the repository above for the README and setup instructions.