DataForSEO MCP Server

Model Context Protocol (MCP) server implementation for DataForSEO, enabling AI assistants to interact with selected DataForSEO APIs and obtain SEO data through a standardized interface.

Features

- AI_OPTIMIZATION API: provides data for keyword discovery, conversational optimization, and real-time LLM benchmarking;
- SERP API: real-time Search Engine Results Page (SERP) data for Google, Bing, and Yahoo;
- KEYWORDS_DATA API: keyword research and clickstream data, including search volume, cost-per-click, and other metrics;
- ONPAGE API: allows crawling websites and webpages according to customizable parameters to obtain on-page SEO performance metrics;
- DATAFORSEO LABS API: data on keywords, SERPs, and domains based on DataForSEO's in-house databases and proprietary algorithms;
- BACKLINKS API: comprehensive backlink analysis including referring domains, anchor text distribution, and link quality metrics;
- BUSINESS DATA API: publicly available data on any business entity;
- DOMAIN ANALYTICS API: data on website traffic, technologies, and Whois details;
- CONTENT ANALYSIS API: robust source of data for brand monitoring, sentiment analysis, and citation management;

Prerequisites

- Node.js (v14 or higher)
- DataForSEO API credentials (API login and password)

Installation

1. Clone the repository:
``bash
git clone https://github.com/dataforseo/mcp-server-typescript
cd mcp-server-typescript
`

2. Install dependencies:
`bash
npm install
`

3. Set up environment variables:
`bash

Required

export DATAFORSEO_USERNAME=your_username
export DATAFORSEO_PASSWORD=your_password

Optional: specify which modules to enable (comma-separated)

If not set, all modules will be enabled

export ENABLED_MODULES="SERP,KEYWORDS_DATA,ONPAGE,DATAFORSEO_LABS,BACKLINKS,BUSINESS_DATA,DOMAIN_ANALYTICS"

Optional: specify which prompts in enabled modules are enable too (prompts names, comma-separated)

If not set, all prompts from enabled modules will be enabled

export ENABLED_PROMPTS="top_3_google_result_domains,top_5_serp_paid_and_organic"

Optional: enable full API responses

If not set or set to false, the server will filter and transform API responses to a more concise format

If set to true, the server will return the full, unmodified API responses

export DATAFORSEO_FULL_RESPONSE="false"

Optional: enable simple filter schema

If set to true, a simplified version of the filters schema will be used.

This is required for ChatGPT APIs or other LLMs that cannot handle nested structures.

export DATAFORSEO_SIMPLE_FILTER="false"
`

Installation as an NPM Package

You can install the package globally:

`bash
npm install -g dataforseo-mcp-server
`

Or run it directly without installation:

`bash
npx dataforseo-mcp-server
`

Remember to set environment variables before running the command:

`bash

Required environment variables

export DATAFORSEO_USERNAME=your_username
export DATAFORSEO_PASSWORD=your_password

Run with npx

npx dataforseo-mcp-server
`

Building and Running

Build the project:
`bash
npm run build
`

Run the server:
`bash

Start local server (direct MCP communication)

npx dataforseo-mcp-server

Start HTTP server

npx dataforseo-mcp-server http
`

HTTP Server Configuration

The server runs on port 3000 by default and supports both Basic Authentication and environment variable-based authentication.

To start the HTTP server, run:
`bash
npm run http
`

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1. Basic Authentication
- Send requests with Basic Auth header:
`
Authorization: Basic
`
- Credentials format: username:password

2. Environment Variables
- If no Basic Auth is provided, the server will use credentials from environment variables:
`bash
export DATAFORSEO_USERNAME=your_username
export DATAFORSEO_PASSWORD=your_password
# Optional
export DATAFORSEO_SIMPLE_FILTER="false"
export DATAFORSEO_FULL_RESPONSE="true"
`

Cloudflare Worker Deployment

The DataForSEO MCP Server can be deployed as a Cloudflare Worker for serverless, edge-distributed access to DataForSEO APIs.

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- Edge Distribution: Deploy globally across Cloudflare's edge network
- Serverless: No server management required
- Auto-scaling: Handles traffic spikes automatically
- MCP Protocol Support: Compatible with both Streamable HTTP and SSE transports
- Environment Variables: Secure credential management through Cloudflare dashboard

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1. Install Wrangler CLI:
`bash
npm install -g wrangler
`

2. Configure Worker:
`bash
# Login to Cloudflare
wrangler login

# Set environment variables
wrangler secret put DATAFORSEO_USERNAME
wrangler secret put DATAFORSEO_PASSWORD
`

3. Deploy Worker:
`bash
# Build and deploy
npm run build
wrangler deploy --main build/index-worker.js
`

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The worker uses the same environment variables as the standard server:

- DATAFORSEO_USERNAME: Your DataForSEO username
- DATAFORSEO_PASSWORD: Your DataForSEO password
- ENABLED_MODULES: Comma-separated list of modules to enable
- ENABLED_PROMPTS: Comma-separated list of prompt names to enable
- DATAFORSEO_FULL_RESPONSE: Set to "true" for full API responses

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Once deployed, your worker will be available at https://your-worker.your-subdomain.workers.dev/ with the following endpoints:

- POST /mcp: Streamable HTTP transport (recommended)
- GET /sse: SSE connection establishment (deprecated)
- POST /messages: SSE message handling (deprecated)
- GET /health: Health check endpoint
- GET /: API documentation page

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Edit wrangler.jsonc to customize your deployment:

`jsonc
{
"name": "dataforseo-mcp-worker",
"main": "build/index-worker.js",
"compatibility_date": "2025-07-10",
"compatibility_flags": ["nodejs_compat"],
"vars": {
"ENABLED_MODULES": "SERP,KEYWORDS_DATA,ONPAGE,DATAFORSEO_LABS",
"ENABLED_PROMPTS":"top_3_google_result_domains,top_5_serp_paid_and_organic"
}
}
`

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After deployment, configure Claude to use your worker:

`json
{
"name": "DataForSEO",
"description": "Access DataForSEO APIs via Cloudflare Worker",
"transport": {
"type": "http",
"baseUrl": "https://your-worker.your-subdomain.workers.dev/mcp"
}
}
`

Available Modules

The following modules are available to be enabled/disabled:

- AI_OPTIMIZATION: provides data for keyword discovery, conversational optimization, and real-time LLM benchmarking;
- SERP: real-time SERP data for Google, Bing, and Yahoo;
- KEYWORDS_DATA: keyword research and clickstream data;
- ONPAGE: crawl websites and webpages to obtain on-page SEO performance metrics;
- DATAFORSEO_LABS: data on keywords, SERPs, and domains based on DataForSEO's databases and algorithms;
- BACKLINKS: data on inbound links, referring domains and referring pages for any domain, subdomain, or webpage;
- BUSINESS_DATA: based on business reviews and business information publicly shared on the following platforms: Google, Trustpilot, Tripadvisor;
- DOMAIN_ANALYTICS: helps identify all possible technologies used for building websites and offers Whois data;
- CONTENT_ANALYSIS: help you discover citations of the target keyword or brand and analyze the sentiments around it;

Adding New Tools/Modules

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Each module corresponds to a specific DataForSEO API:
- AI_OPTIMIZATION: AI Optimization API
- SERP module → SERP API
- KEYWORDS_DATA module → Keywords Data API
- ONPAGE module → OnPage API
- DATAFORSEO_LABS module → DataForSEO Labs API
- BACKLINKS: module → Backlinks API
- BUSINESS_DATA: module → Business Data API
- DOMAIN_ANALYTICS: module → Domain Analytics API
- CONTENT_ANALYSIS: module → Content Analysis API

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You can either:
1. Add a new tool to an existing module
2. Create a completely new module

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Here's how to add a new tool to any new or pre-existing module:

`typescript
// src/code/modules/your-module/tools/your-tool.tool.ts
import { BaseTool } from '../../base.tool';
import { DataForSEOClient } from '../../../client/dataforseo.client';
import { z } from 'zod';

export class YourTool extends BaseTool {
constructor(private client: DataForSEOClient) {
super(client);
// DataForSEO API returns extensive data with many fields, which can be overwhelming
// for AI agents to process. We select only the most relevant fields to ensure
// efficient and focused responses.
this.fields = [
'title', // Example: Include the title field
'description', // Example: Include the description field
'url', // Example: Include the URL field
// Add more fields as needed
];
}

getName() {
return 'your-tool-name';
}

getDescription() {
return 'Description of what your tool does';
}

getParams(): z.ZodRawShape {
return {
// Required parameters
keyword: z.string().describe('The keyword to search for'),
location: z.string().describe('Location in format "City,Region,Country" or just "Country"'),

// Optional parameters
fields: z.array(z.string()).optional().describe('Specific fields to return in the response. If not specified, all fields will be returned'),
language: z.string().optional().describe('Language code (e.g., "en")'),
};
}

async handle(params: any) {
try {
// Make the API call
const response = await this.client.makeRequest({
endpoint: '/v3/dataforseo_endpoint_path',
method: 'POST',
body: [{
// Your request parameters
keyword: params.keyword,
location: params.location,
language: params.language,
}],
});

// Validate the response for errors
this.validateResponse(response);

//if the main data array is specified in tasks[0].result[:] field
const result = this.handleDirectResult(response);
//if main data array specified in tasks[0].result[0].items field
const result = this.handleItemsResult(response);
// Format and return the response
return this.formatResponse(result);
} catch (error) {
// Handle and format any errors
return this.formatErrorResponse(error);
}
}
}
`

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1. Create a new directory under src/core/modules/ for your module:
`bash
mkdir -p src/core/modules/your-module-name
`

2. Create module files:
`typescript
// src/core/modules/your-module-name/your-module-name.module.ts
import { BaseModule } from '../base.module';
import { DataForSEOClient } from '../../client/dataforseo.client';
import { YourTool } from './tools/your-tool.tool';

export class YourModuleNameModule extends BaseModule {
constructor(private client: DataForSEOClient) {
super();
}

getTools() {
return {
'your-tool-name': new YourTool(this.client),
};
}
}
`

3. Register your module in src/core/config/modules.config.ts:
`typescript
export const AVAILABLE_MODULES = [
'SERP',
'KEYWORDS_DATA',
'ONPAGE',
'DATAFORSEO_LABS',
'BACKLINKS',
'BUSINESS_DATA',
'DOMAIN_ANALYTICS',
'CONTENT_ANALYSIS',
'YOUR_MODULE_NAME' // Add your module name here
] as const;
`

4. Initialize your module in src/main/index.ts:
`typescript
if (isModuleEnabled('YOUR_MODULE_NAME', enabledModules)) {
modules.push(new YourModuleNameModule(dataForSEOClient));
}
`

Field Configuration

The MCP server supports field filtering to customize which data fields are returned in API responses. This helps reduce response size and focus on the most relevant data for your use case.

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Create a JSON configuration file with the following structure:

`json
{
"supported_fields": {
"tool_name": ["field1", "field2", "field3"],
"another_tool": ["field1", "field2"]
}
}
`

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Pass the configuration file using the --configuration parameter:

`bash

With npm

npm run cli -- http --configuration field-config.json

With npx

npx dataforseo-mcp-server http --configuration field-config.json

Local mode

npx dataforseo-mcp-server local --configuration field-config.json
`

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- If a tool is configured: Only the specified fields will be returned in the response
- If a tool is not configured: All available fields will be returned (default behavior)
- If no configuration file is provided: All tools return all available fields

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The repository includes an example configuration file field-config.example.json with optimized field selections for common tools:

`json
{
"supported_fields": {
"backlinks_backlinks": [
"id",
"items.anchor",
"items.backlink_spam_score",
"items.dofollow",
"items.domain_from",
"items.domain_from_country",
"items.domain_from_ip",
"items.domain_from_platform_type",
"items.domain_from_rank",
"items.domain_to",
"items.first_seen",
"items.is_broken",
"items.is_new",
"items.item_type",
"items.last_seen",
"items.links_count",
"items.original",
"items.page_from_encoding",
"items.page_from_external_links",
"items.page_from_internal_links",
"items.page_from_language",
"items.page_from_rank",
"items.page_from_size",
"items.page_from_status_code",
"items.page_from_title",
"items.prev_seen",
"items.rank",
"items.ranked_keywords_info.page_from_keywords_count_top_10",
"items.ranked_keywords_info.page_from_keywords_count_top_100",
"items.ranked_keywords_info.page_from_keywords_count_top_3",
"items.semantic_location",
"items.text_post",
"items.text_pre",
"items.tld_from",
"items.type",
"items.url_from",
"items.url_from_https",
"items.url_to",
"items.url_to_https",
"items.url_to_spam_score",
"items.url_to_status_code",
"status_code",
"status_message"
],
...
}
}
`

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The configuration supports nested field paths using dot notation:

- "rating.value" - Access the value field within the rating object
- "items.demography.age.keyword" - Access deeply nested fields
- "meta.description" - Access nested object properties

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To discover available fields for any tool:

1. Run the tool without field configuration to see the full response
2. Identify the fields you need from the API response
3. Add those field paths to your configuration file

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1. Copy the example file:
`bash
cp field-config.example.json my-config.json
`

2. Modify the field selections based on your needs

3. Use your custom configuration:
`bash
npx dataforseo-mcp-server http --configuration my-config.json
``

What endpoints/APIs do you want us to support next?

We're always looking to expand the capabilities of this MCP server. If you have specific DataForSEO endpoints or APIs you'd like to see supported, please:

1. Check the DataForSEO API Documentation to see what's available
2. Open an issue in our GitHub repository with:
- The API/endpoint you'd like to see supported;
- A brief description of your use case;
- Describe any specific features you'd like to see implemented.

Your feedback helps us prioritize which APIs to support next!

Resources

- Model Context Protocol Documentation
- DataForSEO API Documentation