How to Install DataForSEO MCP Server in OpenAI Agents SDK

DataForSEO API modelcontextprotocol server

What DataForSEO MCP Server does

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.

seo

dataforseo

dfs

seo data

seo api

Installation steps

1Install: pip install openai-agents
2Copy the snippet below into your agent code
3Replace placeholder env values with your real keys
4Pass mcp_servers=[mcp_server] to your Agent()

Python snippet

Python snippetpython

from agents import Agent
from agents.mcp import MCPServerStdio

mcp_server = MCPServerStdio(
    command="npx",
    args=["-y", "dataforseo-mcp-server"],
)

agent = Agent(
    name="My Agent",
    model="gpt-4o",
    mcp_servers=[mcp_server],
)

Full server details GitHub Open Config Editor

Install in other clients

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For maintainers

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