NewOpen Source
OpenSEO
★ 6.2kOpen-source SEO platform for humans and AI agents
Active repoRelease v0.1.1
MCP
DataForSEO MCP
Official MCP access to professional SEO data
PricingOpen Source
CategoryMCP
GitHub stars★ 233
Listing status● Verified
Overview
What is DataForSEO MCP?
The official DataForSEO MCP server exposes SERPs, keywords, backlinks, on-page audits and AI optimization data to compatible agents through a maintained TypeScript implementation. Its documented capabilities include SERP endpoints, Keyword data and Backlink analysis.
DataForSEO MCP is designed to make SEO capabilities available inside an agent workflow. Instead of moving data manually between a browser, reports and an AI client, teams can expose supported operations through a structured integration.
Best forTechnical SEO teams and builders connecting AI agents to live search data or actions.
Primary workflowAgent-to-data integration
Delivery modelMCP integration for supported AI clients
Pricing modelOpen Source
Product preview
Capabilities
What it helps you do
01
SERP endpoints
Use serp endpoints during discovery, when the team gathers evidence before deciding which opportunities, queries or competitors deserve deeper work.
02
Keyword data
Use keyword data during discovery, when the team gathers evidence before deciding which opportunities, queries or competitors deserve deeper work.
03
Backlink analysis
Use backlink analysis for off-site context that can support competitor research, link analysis and prioritization of authority-building work.
04
Local Falcon integration
Treat local falcon integration as part of the integration layer. Confirm authentication, permissions, rate limits and deployment requirements against the current official documentation.
Workflow
How DataForSEO MCP fits into the work
01
SERP endpoints
Use serp endpoints during discovery, when the team gathers evidence before deciding which opportunities, queries or competitors deserve deeper work.
02
Keyword data
Use keyword data during discovery, when the team gathers evidence before deciding which opportunities, queries or competitors deserve deeper work.
03
Backlink analysis
Use backlink analysis for off-site context that can support competitor research, link analysis and prioritization of authority-building work.
Decision guide
What to know before choosing
A good fit when
- ✓You need support for MCP and SEO Data in a defined workflow.
- ✓You want inspectable source code and are comfortable owning setup, hosting or maintenance.
- ✓Your stack already includes or can work with Claude Desktop, Cursor, Codex.
Verify before adopting
- →Confirm which capabilities are included in the current open source offering and whether usage limits apply.
- →Review authentication, permissions, supported clients and the data each exposed tool can access.
- →Validate the depth and scale of local falcon integration for your team.
Categories
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