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Crawlora MCP Integration Guide

Use Crawlora's structured public web data APIs as tools for AI clients and agent workflows through MCP-style integrations.

MCP-ready metadataStructured toolsServer-side keysAgent workflows
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Verified HTTP pattern

POST /google/search

Normalized JSON

Request

POST https://api.crawlora.net/api/v1/google/search
x-api-key: $CRAWLORA_API_KEY
Content-Type: application/json

{
  "country": "us",
  "keyword": "best CRM software",
  "language": "en",
  "limit": 10,
  "page": 1
}

Base URL

https://api.crawlora.net/api/v1

Auth header

x-api-key

Example endpoint

POST /google/search

Crawlora's docs surface MCP-ready metadata for supported endpoints. This page focuses on integration patterns and avoids claiming a separate MCP server package.

Developer workflow

What MCP does for web data workflows

MCP lets AI clients discover and call tools exposed by a server. Crawlora-style APIs fit this model because supported endpoints have clear inputs and structured JSON outputs.

Developer workflow

When to use Crawlora with MCP

  • AI research assistant.
  • SERP research tool.
  • Local business research agent.
  • App review summarizer.
  • YouTube transcript agent.
  • TikTok trend research agent.
  • E-commerce monitoring agent.

Developer workflow

Integration options

  • Use Crawlora's MCP-ready endpoint metadata where your client supports it.
  • Create your own lightweight MCP server that wraps Crawlora HTTP APIs and exposes only approved tools.

Developer workflow

Example MCP tool definition

Illustrative schema for a wrapper tool. Use exact generated tool names from endpoint docs where available.

Illustrative MCP tool · json

{
  "name": "crawlora_google_search",
  "description": "Search public Google results through Crawlora and return normalized JSON.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "keyword": { "type": "string" },
      "country": { "type": "string" },
      "language": { "type": "string" },
      "limit": { "type": "number" }
    },
    "required": ["keyword"]
  },
  "output": "Crawlora JSON envelope with result items, status, and message fields."
}

Developer workflow

Example TypeScript MCP server wrapper

Illustrative handler logic. Adapt registration code to the MCP SDK version used by your server.

Tool handler · typescript

async function callCrawloraTool(args: {
  keyword: string;
  country?: string;
  language?: string;
  limit?: number;
}) {
  const response = await fetch("https://api.crawlora.net/api/v1/google/search", {
    method: "POST",
    headers: {
      "x-api-key": process.env.CRAWLORA_API_KEY ?? "",
      "Content-Type": "application/json",
    },
    body: JSON.stringify({
      keyword: args.keyword,
      country: args.country ?? "us",
      language: args.language ?? "en",
      limit: args.limit ?? 10,
      page: 1,
    }),
  });

  if (!response.ok) {
    throw new Error(`Crawlora request failed: ${response.status} ${await response.text()}`);
  }

  return response.json();
}

// Register this handler with the MCP SDK version used by your server.

Developer workflow

Security checklist

  • Keep the Crawlora API key in the server environment.
  • Do not expose API keys to client-side apps.
  • Validate tool inputs.
  • Restrict available tools if needed.
  • Log tool calls carefully.
  • Avoid collecting unnecessary sensitive data.
  • Respect Crawlora terms and target platform rules.

Developer workflow

Agent UX tips

  • Expose narrow tools, not arbitrary URL collection.
  • Return structured JSON.
  • Include source platform and request context where available.
  • Make failure states visible to the agent.
  • Cap result counts to control cost.

Responsible public web data workflows

Use Crawlora for structured public web data workflows. Customers are responsible for compliance with applicable laws, third-party rights, platform rules, and Crawlora terms. Keep API keys server-side, validate inputs, and avoid collecting or storing unnecessary sensitive data.

Read Crawlora terms

Developer workflow

Related developer links

Use these pages to move between endpoint discovery, examples, pricing, and responsible-use guidance.

OpenAI Agents

AI agents

TypeScript guide

Docs

Terms

Developer workflow

FAQ

Common questions for this Crawlora developer integration path.

What is MCP?

Model Context Protocol is a pattern for exposing tools and resources to AI clients through a server interface.

Does Crawlora have an official MCP server?

This site exposes MCP-ready metadata and an MCP URL in existing docs where supported. This repository does not contain a separate MCP server package install command.

Can I wrap Crawlora APIs as MCP tools?

Yes. Wrap narrow Crawlora HTTP calls behind server-side MCP tools and keep the API key in the server environment.

Which Crawlora APIs are good MCP tools?

Search, Maps, YouTube, TikTok, App Store, Google Play, Amazon, Product Hunt, and review endpoints are useful candidates when they match your agent's task.

How should I secure API keys?

Store keys server-side, restrict tool access, validate inputs, and avoid logging secrets.

Can MCP tools consume credits?

Yes. Tool calls that invoke Crawlora API endpoints can consume credits according to endpoint billing rules.

How is this different from LangChain tools?

MCP focuses on a protocol for exposing tools to clients. LangChain tools are framework-level wrappers inside LangChain workflows.

Next step

Expose one Crawlora tool first

Start with a narrow search or app-review tool, validate inputs, and keep the Crawlora key inside your MCP server.

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