Skip to main content
Glama

FetchSERP MCP Server

Official
by fetchSERP

scrape_domain

Extract data from a specified domain by scraping up to a defined number of pages. Enables SEO analysis, keyword research, and SERP data collection via FetchSERP MCP Server.

Instructions

Scrape a domain

Input Schema

NameRequiredDescriptionDefault
domainYesThe domain to scrape
max_pagesNoThe maximum number of pages to scrape (up to 200). Default: 10

Input Schema (JSON Schema)

{ "properties": { "domain": { "description": "The domain to scrape", "type": "string" }, "max_pages": { "default": 10, "description": "The maximum number of pages to scrape (up to 200). Default: 10", "maximum": 200, "type": "integer" } }, "required": [ "domain" ], "type": "object" }

Implementation Reference

  • Handler case for the scrape_domain tool within handleToolCall method. Proxies the request to the external FetchSERP API endpoint '/api/v1/scrape_domain'.
    case 'scrape_domain': return await this.makeRequest('/api/v1/scrape_domain', 'GET', args, null, token);
  • Tool schema definition including name, description, and input schema for 'scrape_domain' in the list of tools returned by ListToolsRequestSchema handler.
    { name: 'scrape_domain', description: 'Scrape a domain', inputSchema: { type: 'object', properties: { domain: { type: 'string', description: 'The domain to scrape', }, max_pages: { type: 'integer', description: 'The maximum number of pages to scrape (up to 200). Default: 10', default: 10, maximum: 200, }, }, required: ['domain'], },
  • Shared helper method used by all tool handlers to make authenticated HTTP requests to the FetchSERP API.
    async makeRequest(endpoint, method = 'GET', params = {}, body = null, token = null) { const fetchserpToken = token || process.env.FETCHSERP_API_TOKEN; if (!fetchserpToken) { throw new McpError( ErrorCode.InvalidRequest, 'FETCHSERP_API_TOKEN is required' ); } const url = new URL(`${API_BASE_URL}${endpoint}`); // Add query parameters for GET requests if (method === 'GET' && Object.keys(params).length > 0) { Object.entries(params).forEach(([key, value]) => { if (value !== undefined && value !== null) { if (Array.isArray(value)) { value.forEach(v => url.searchParams.append(`${key}[]`, v)); } else { url.searchParams.append(key, value.toString()); } } }); } const fetchOptions = { method, headers: { 'Authorization': `Bearer ${fetchserpToken}`, 'Content-Type': 'application/json', }, }; if (body && method !== 'GET') { fetchOptions.body = JSON.stringify(body); } const response = await fetch(url.toString(), fetchOptions); if (!response.ok) { const errorText = await response.text(); throw new McpError( ErrorCode.InternalError, `API request failed: ${response.status} ${response.statusText} - ${errorText}` ); } return await response.json(); }

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/fetchSERP/fetchserp-mcp-server-node'

If you have feedback or need assistance with the MCP directory API, please join our Discord server