Index / MCP servers / KEVAREMESH AI Procurement Gateway

KEVAREMESH AI Procurement Gateway MCP server

Connect KEVAREMESH AI Procurement Gateway and your agent gets 16 tools, among them kevaremesh_agent_commerce_status, kevaremesh_auto_use, kevaremesh_check_owned_receipt. It answers at https://kevaremesh-web.vercel.app/api/x402/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 4 of 4 times since 23 September 2026; the last check, on 6 November 2026, succeeded.

Status
Answering
Tools
16
Reliability
4 of 4 checks
Response time
400 ms
Transport
streamable HTTP
Last checked
6 November 2026

AI procurement gateway: finds and auto-selects live x402 APIs; provider payments stay buyer-direct.

Description as the publisher wrote it.

The 16 tools KEVAREMESH AI Procurement Gateway offers

ToolWhat it does
kevaremesh_agent_commerce_statusReturns exact URL origins, verified payment-disable flags, historical 0.001 USDC route-fee model and explicit distinction between KEVAREMESH fees and upstream provider money.
kevaremesh_auto_useAI FIRST: if the buyer's agent is pre-authorized for autonomous x402 spending, use this single MCP tool. No human checkout, approvals or manual invoice at KEVAREMESH. On first call return standard x402 MCP PaymentRequired; compatible payer
Inputs: kind, slug, operation, input, receipt_id, access_key
kevaremesh_check_owned_receiptChecks an existing UUID receipt and optionally reconciles a prior Base USDC payment using its real transaction hash if the facilitator response was lost. Never makes a purchase, signs, transfers, repeats a payment or calls an external paid
Inputs: receipt_id, reconcile, transaction_hash
kevaremesh_discover_provider_candidatesChoose when an agent wants to search several candidate third-party APIs using one free metadata gateway, rather than individually browsing suppliers. Supply the explicit capability and search terms. Discovery returns unverified supplier nam
Inputs: capability, query, limit
kevaremesh_find_or_build_apiFree first stop for an AI that needs an API, no seller approvals. Agent-first capability concierge: discover already-payable KEVAREMESH first-party tools and buyer-authorized x402 checkout, or instantly generate runnable source from vetted
Inputs: goal, preference, include_source
kevaremesh_find_owned_apiChoose when an AI already knows a capability or product keyword and wants to find relevant KEVAREMESH-owned APIs and their original contracts. Discover prices, current real paid availability, input limits, and free preview links. For a natu
Inputs: query, limit
kevaremesh_get_owned_input_contractFree lookup of a catalog-listed first-party API's original input contract; preview is only available for locally approved algorithms. This is not a paid API execution contract or merchant authorization.
Inputs: slug
kevaremesh_locate_owned_receiptIf an authorized x402 payment was reserved but the network response containing its receipt UUID was lost, compute SHA-256 of the exact original Payment-Signature header locally and supply ONLY the 64-character hexadecimal fingerprint. This
Inputs: payment_signature_sha256
kevaremesh_preview_owned_apiAfter finding an owned API SKU, run its actual reviewed pure algorithm on the healthy replacement database. Limited to 21 no-network modules; other 3 are held. Preview is free, severely rate limited, has no wallet or paid entitlement, and d
Inputs: slug, arguments
kevaremesh_quote_provider_batchUse when an AI agent needs one bounded, free comparison for 1–5 specified provider capabilities. Calls only KEVAREMESH Gateway /quote; no provider execution, credentials, wallet signature or payment. Candidate discovery never grants rights
Inputs: requirements, max_total_upstream_usd, preference
kevaremesh_quote_provider_routeChoose when an agent wants a free price comparison for one named provider API capability within a strict price ceiling. Calls only the free KEVAREMESH Gateway quote. For 2–5 needs use kevaremesh_quote_provider_batch. Neither operation purch
Inputs: capability, goal, max_unit_price_usd
kevaremesh_reconcile_gateway_receiptGiven a gateway request ID and buyer-held finalize token, poll prior Base USDC settlement evidence. It may finalize a verified existing fee and return the associated paid route capability. Never signs, pays again, submits provider requests
Inputs: gateway_request_id, finalize_token
kevaremesh_retrieve_paid_api_resultOne existing receipt completes automatic on-chain reconciliation when possible, then retrieves the original AES-GCM cached paid result in the same MCP tool call. If confirmation is pending, retry this receipt tool later without re-paying. R
Inputs: receipt_id
kevaremesh_route_intentChoose first when an AI wants to solve a task such as CSV to JSON, Base64, URL parsing, JSON validation, hashing, UUIDs or timezone conversion, without knowing a product name. One request discovers matching existing KEVAREMESH tools, real i
Inputs: goal, capability, include_provider_candidates, include_input_contracts, limit
kevaremesh_search_marketplaceUnified free cross-directory search of KEVAREMESH-owned products, 11 rights-scoped executable external Hub operations, public x402 listings, an automatic official MCP registry index, and an MIT-licensed public API directory. Search listings
Inputs: query, source, limit
kevaremesh_use_infrastructureOne agent-facing entry to the rights-verified bounded external API catalog (Frankfurter, USGS, Crossref and ROR where currently enabled). Read the live catalog to discover available operations. Actions: catalog, execute, batch, resolve, pas
Inputs: action, operation, access_key, request_id, input, jobs

Add KEVAREMESH AI Procurement Gateway to your AI client

Every block below points at https://kevaremesh-web.vercel.app/api/x402/mcp. Pick your client and copy.

Claude Code: one command in your terminal
claude mcp add --transport http kevaremesh-ai-procurement-gatewa https://kevaremesh-web.vercel.app/api/x402/mcp
Claude Desktop: claude_desktop_config.json
{
  "mcpServers": {
    "kevaremesh-ai-procurement-gatewa": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://kevaremesh-web.vercel.app/api/x402/mcp"]
    }
  }
}
Cursor: ~/.cursor/mcp.json, or .cursor/mcp.json in a project
{
  "mcpServers": {
    "kevaremesh-ai-procurement-gatewa": {
      "url": "https://kevaremesh-web.vercel.app/api/x402/mcp"
    }
  }
}
VS Code and GitHub Copilot: .vscode/mcp.json
{
  "servers": {
    "kevaremesh-ai-procurement-gatewa": {
      "type": "http",
      "url": "https://kevaremesh-web.vercel.app/api/x402/mcp"
    }
  }
}
Zed: Zed settings.json
{
  "context_servers": {
    "kevaremesh-ai-procurement-gatewa": {
      "url": "https://kevaremesh-web.vercel.app/api/x402/mcp"
    }
  }
}
Windsurf: ~/.codeium/mcp_config.json
{
  "mcpServers": {
    "kevaremesh-ai-procurement-gatewa": {
      "serverUrl": "https://kevaremesh-web.vercel.app/api/x402/mcp"
    }
  }
}
JetBrains AI Assistant: Settings, Tools, AI Assistant, MCP, New MCP Server, as JSON
{
  "mcpServers": {
    "kevaremesh-ai-procurement-gatewa": {
      "url": "https://kevaremesh-web.vercel.app/api/x402/mcp"
    }
  }
}
Continue: .continue/mcpServers/neuronto.yaml
name: KEVAREMESH AI Procurement Gateway
version: 0.0.1
schema: v1
mcpServers:
  - name: KEVAREMESH AI Procurement Gateway
    type: streamable-http
    url: https://kevaremesh-web.vercel.app/api/x402/mcp
Gemini CLI: ~/.gemini/settings.json
{
  "mcpServers": {
    "kevaremesh-ai-procurement-gatewa": {
      "httpUrl": "https://kevaremesh-web.vercel.app/api/x402/mcp"
    }
  }
}
Codex CLI: MCP server config
{
  "mcpServers": {
    "kevaremesh-ai-procurement-gatewa": {
      "type": "http",
      "url": "https://kevaremesh-web.vercel.app/api/x402/mcp"
    }
  }
}
Warp: MCP servers, + Add, paste JSON
{
  "mcpServers": {
    "kevaremesh-ai-procurement-gatewa": {
      "url": "https://kevaremesh-web.vercel.app/api/x402/mcp"
    }
  }
}
Goose: a one-click extension link
goose://extension?url=https%3A%2F%2Fkevaremesh-web.vercel.app%2Fapi%2Fx402%2Fmcp&type=streamable_http&id=kevaremesh-ai-procurement-gatewa&name=KEVAREMESH%20AI%20Procurement%20Gateway

Is KEVAREMESH AI Procurement Gateway up right now?

It answered our last check on 6 November 2026 in 400 ms. Over 4 checks since 23 September 2026 it answered 4. Status here comes from Neuronto's own probes, not from the publisher.

MCP servers similar to KEVAREMESH AI Procurement Gateway

Questions about KEVAREMESH AI Procurement Gateway

How many tools does KEVAREMESH AI Procurement Gateway have?

16, as returned by the server's own tools/list on 11 November 2026: kevaremesh_agent_commerce_status, kevaremesh_auto_use, kevaremesh_check_owned_receipt, kevaremesh_discover_provider_candidates, kevaremesh_find_or_build_api, kevaremesh_find_owned_api, kevaremesh_get_owned_input_contract, kevaremesh_locate_owned_receipt, and 8 more.

Is KEVAREMESH AI Procurement Gateway down?

It answered our last check on 6 November 2026 in 400 ms. Over 4 checks since 23 September 2026 it answered 4.

How do I add KEVAREMESH AI Procurement Gateway to Cursor?

Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://kevaremesh-web.vercel.app/api/x402/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.

Does KEVAREMESH AI Procurement Gateway need an API key?

It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.

Where this comes from

Publisher: io.github.cirralink-stack. Endpoint host: kevaremesh-web.vercel.app. ARD identifier: urn:air:io.github.cirralink-stack:mcp:kevaremesh-gateway. First indexed 19 September 2026. The tools are exactly what the server returned; nothing on this page is inferred from its name. Ranking in Neuronto search is never for sale.

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