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Asklear

Asklear MCP

Commercial research infrastructure for AI agents.

Documentation · Cookbook · Get access

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Hosted MCP Streamable HTTP Apache-2.0 license

Asklear MCP is the hosted Model Context Protocol interface for Asklear. It gives authorized AI agents a stable way to use commercial research capabilities while access control, data contracts, usage, and billing remain managed by the service.

What you can research

Research task Example question
Market and category analysis How large is a category, and how is it changing?
Competitive landscape Which brands are gaining or losing share?
Growth drivers Which products, price bands, or shops drive the change?

Current access starts with structured monthly Chinese e-commerce research. Depending on account entitlement, available datasets may include JD, Tmall, or other authorized sources. The authenticated MCP tool list is always the source of truth for current capabilities.

Quick start

1. Get access

Beta access is by invitation or application. Apply or sign in to receive the MCP URL and API Key for your account.

2. Connect your agent

Use the client-specific configuration generated by the Dashboard. A generic Streamable HTTP configuration looks like this:

{
  "mcpServers": {
    "asklear": {
      "type": "http",
      "url": "<YOUR_ASKLEAR_MCP_URL>",
      "headers": {
        "Authorization": "Bearer <YOUR_ASKLEAR_API_KEY>"
      }
    }
  }
}

Important

Keep the API Key only in MCP configuration. Never place it in prompts, project files, reports, or exported results.

3. Verify the connection

Verify my Asklear MCP connection. If I have not asked a data question yet,
call connection_status and report whether authentication succeeded.

Try a research question

Use Asklear to analyze the JD pet-snack category over the latest 12 complete months.

1. How large is the market, and what is the monthly trend?
2. Which brands lead, and how are their shares changing?
3. What opportunities or risks deserve attention?

Report the resolved time range, metric definitions, evidence, and limitations.

From research to deliverable

  • Read the Agent Docs for current connection instructions, dataset contracts, and error recovery.
  • Use the Asklear Cookbook to turn research results into PPT, PDF, or Dashboard deliverables.

Repository scope

Note

This is the public adoption repository for the hosted Asklear MCP service. It does not contain the production service implementation, customer credentials, private endpoints, or commercial datasets. Runtime capabilities are determined by the authenticated service and account entitlement.

Security

Report vulnerabilities privately as described in SECURITY.md. Do not open public issues for security reports.

License

Licensed under Apache-2.0. The license does not grant rights to use Asklear trademarks or imply endorsement.

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The MCP interface for Asklear — commercial research infrastructure for AI agents.

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