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Talordata MCP Server

@Talordata

Repository

Basic information

Category

Search

Transports

stdio

Author

Talordata

Submitted by

Cecilia Hill

About Talordata MCP Server

Talordata MCP Server is a remote Model Context Protocol server for Talordata SERP API. It connects multi-engine SERP capabilities with MCP-compatible clients, giving your AI real-time web search, request history lookup, and usage analytics.

#mcp-server#search-data#ai-agent

Talordata MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "talordata": {
      "url": "https://your-domain.com:8800/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_USER_TOKEN"
      }
    }
  }
}

Talordata MCP Server tools

1

`tools/history.go`

Overview

What is Talordata Mcp Server?

Talordata Mcp Server is an MCP server that gives MCP clients access to Talor SERP search, history, and statistics. It is built with mark3labs/mcp-go, backed by local engine schemas, and designed for streamable HTTP deployment.

How to use Talordata Mcp Server?

Clone the repository, run go mod tidy && go run ., and configure via configs/config.yaml. The server exposes HTTP endpoints at /mcp and /{user-token}/mcp; clients connect by providing a URL and an authorization header containing their Talor SERP user token.

Key features of Talordata Mcp Server

  • Dynamically loads all engine schemas from local engines/*.json
  • Exposes engine index and raw engine schemas through MCP resources
  • Proxies Talor SERP search requests through the search tool
  • Proxies usage history through the history tool
  • Proxies usage statistics through the statistics tool
  • Supports per-request user token forwarding instead of a fixed upstream token

Use cases of Talordata Mcp Server

  • Perform live SERP searches across multiple engines (e.g., google_web, google_images)
  • Query usage history with filters such as date range, engine, and status
  • Retrieve usage statistics within a specified date period
  • Discover available engines and their parameter schemas dynamically

Frequently asked questions

1

How does authentication work?

Each user provides their own Talor SERP token per request, delivered via `Authorization: Bearer <user-token>` header, `X-Talor-Serp-Token` header, or in the URL path as `/{user-token}/mcp`. Query string token passing is not supported.

2

What transport does the server use?

The server is designed for cloud deployment with `streamable-http`. It listens on a configurable address and exposes `GET /healthz` and `POST / GET / DELETE /mcp` endpoints.

3

Where does the server load engine schemas from?

Engine schemas are loaded from local `engines/*.json` files at startup. The engine index is served under `talor://engines` and individual schemas under `talor://engines/<engine>`.

4

What dependencies or runtime are required?

The server is written in Go. Running it locally requires Go installed, and you execute `go mod tidy` and `go run .` to start. A sample configuration file (`configs/config.yaml`) is provided.

5

What are the configurable timeouts?

The server allows setting `timeout_ms` (upstream timeout, default 150000) and `shutdown_timeout_ms` (graceful shutdown timeout, default 10000) in the configuration file.

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