mcpField
S
SeekAPI China Procurement for AI Agents

SeekAPI China Procurement for AI Agents

Remote
seekapi.aiBusiness & Marketing0Updated today

About SeekAPI China Procurement for AI Agents

SeekAPI China Procurement for AI Agents provides product-first comparisons of China suppliers using available evidence. It returns provisional sourcing results and supports report, JSON, RFQ, and MCP discovery paths; current payment availability must be checked at runtime.

Key features

  1. 01Compare matching products across suppliers
  2. 02Score price, sales, MOQ fit, and freshness
  3. 03Deduplicate related supplier identities
  4. 04Select suppliers by source-factory tier
  5. 05Provide report, JSON, and RFQ outputs
  6. 06Check live purchase availability

Use cases

  1. 01Compare supplier options for a product
  2. 02Review evidence behind a sourcing result
  3. 03Retrieve procurement data as JSON
  4. 04Confirm a formal quote through an RFQ

MCP support

An MCP guide and discovery endpoint are provided. Clients can call discover_china_supply_check_v0 to check current runtime admission before a new purchase.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://api.seekapi.ai/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

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

16

This tool takes no parameters.

Details

From the project README

SeekAPI — product-first China procurement evidence

China Supply Check compares evidenced matching products from distinct suppliers. The product-first V2 policy scores comparable price45%, scoped sales35%, MOQ fit10% and freshness/activity10%; deduplicates connected legal/member/shop identities; protects at most20 suppliers within10 points of the best product; then selects source factory tiersF5→F0. Q1–Q6 is auxiliary trust, not an all-PASS admission gate. Ordinary partial results stay provisional.

Read the human example, exact Agent JSON, MCP guide, public HTTP read documentation, current public contract and discovery status. Pointer availability is independently verified at release; local preparation is not a production publication receipt.

The public example reconstructs three DIRECT_MATCH historical products. Each commercial score is0/100 and factory tierF0: old or insufficient evidence earns no commercial credit and does not establish a current source factory role. These are not negative product ratings or proof that a supplier is not a factory. Deterministic tied display order does not establish commercial superiority. Original pool/weights are NOT_RECORDED; current V2 scores are RECOMPUTED, not the historical order's original ranking.

Current dated payment observation: image Stripe LIVE atUSD2.99, image x402 OFF, text/model Stripe OFF, text/model x402 LIVE at2.99USDC/Base. Call discover_china_supply_check_v0 at https://api.seekapi.ai/mcp before a new purchase. Runtime admission is authoritative; UNKNOWN never means LIVE. Existing authenticated results are free to reopen, without repayment. No new payment or supplier contact occurs by reading pages.

Source certification is not a SeekAPI independent onsite audit. Source marketplace protections apply only to eligible product transactions and do not compensate the CSC fee. Exact SKU, material, dimensions, quality, stock, lead time and formal quote need RFQ confirmation. Public contacts are availability-only/null when unknown; authenticated paid report business contacts remain readable.

The proposed $19.90 Live RFQ Compare service is contact, translation, follow-up and formal quotation comparison, not contact unlock, and is not currently open for purchase. Other human assignments require separately accepted scope, fee and authority.

Development

Use Node24. npm ci, npm run build, then npm test. Production-indexing simulation requires VERCEL_ENV=production NEXT_PUBLIC_PUBLIC_INDEXING=1; previews remain noindex. The pinned, cleared public artifact is data/public-agent-sample-publication.json; source images, identities and private proof packets do not belong here. Removing an artifact produces honest unavailable sample behavior; it must not retain JSON/MCP sample advertisements.

Publication input and validation. Historical engineering/approval notes under docs describe their recorded version; they do not override the current public contract above. They are not current deployment or purchase-availability receipts.

Current anonymous public model

The current publication candidate consumes audited csc.public-agent-sample.v4 from WS3 PR1254/review5536718051. Human/download/MCP all expose the same reviewed JSON. recommended_candidate_id=null; Supplier1 is first for display only. Private numeric product-ID tie inputs stay private. Fact coverage is NOT_RECORDED/UNKNOWN/null;3/3 references measure linkage, not fact completeness. Canonical sample URLs and MCP resource URI are unchanged. The complete six-step product-first method and direct JSON/MCP paths are available on the homepage, product page and Agent guide.

Native Next sitemap lastmod and page/structured metadata use the actual presentation revision, separately from preserved source/reconstruction timestamps. No search-engine submission or cache refresh is claimed; third-party search/Registry observations remain external stale until separately read. Registry0.1.10 is not republished or bumped here.

Comments

Markdown supported

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.