About KEVAREMESH AI Procurement Gateway
AI procurement for web search, news, finance, blockchain, social, enrichment and travel APIs
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://kevaremesh-web.vercel.app/api/x402/mcpclaude mcp add --transport http cirralink-stack-kevaremesh-gateway https://kevaremesh-web.vercel.app/api/x402/mcp{"mcpServers":{"cirralink-stack-kevaremesh-gateway":{"type":"http","url":"https://kevaremesh-web.vercel.app/api/x402/mcp"}}}Open in Cursor{"servers":{"cirralink-stack-kevaremesh-gateway":{"type":"http","url":"https://kevaremesh-web.vercel.app/api/x402/mcp"}}}Open in VS Code{"mcpServers":{"cirralink-stack-kevaremesh-gateway":{"type":"http","url":"https://kevaremesh-web.vercel.app/api/x402/mcp"}}}{"mcpServers":{"cirralink-stack-kevaremesh-gateway":{"serverUrl":"https://kevaremesh-web.vercel.app/api/x402/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
1| Parameter | Type | Required | Description |
|---|---|---|---|
| goal | string | Yes | State only the result you need; do not search for, name, or choose an API/provider. Examples: search the web, retrieve blockchain/finance/news/social data, enrich an entity, geocode, run AI or media generation, search travel availability, take a screenshot, or check uptime. |
| input | object | No | Usually omit. Only add structured task fields when KEVAREMESH explicitly returns input_required. |
| max_budget_usd | number | No | Optional maximum upstream provider spend for this task. If omitted, KEVAREMESH minimizes cost and the x402 client still controls whether any payment is authorized. |
Details
The maintainer has not added details yet. Check the README in the repository.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.