NewOpen Source
OpenSEO
★ 6.2kOpen-source SEO platform for humans and AI agents
Active repoRelease v0.1.1
MCPNew
Exa MCP
Agent-ready web search, research and content retrieval
PricingOpen Source
CategoryMCP
GitHub stars★ 4.7k
Listing status● Verified
Overview
What is Exa MCP?
Exa MCP connects compatible agents to neural web search, page retrieval and advanced company or topic research through hosted endpoints and an open-source server. Its documented capabilities include Web search, Page retrieval and Advanced search filters.
Exa 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
Web search
Use web search during discovery, when the team gathers evidence before deciding which opportunities, queries or competitors deserve deeper work.
02
Page retrieval
Page retrieval is one of Exa MCP’s documented core capabilities. Its exact scope can vary by plan, deployment and integration, so validate it against the current product documentation.
03
Advanced search filters
Use advanced search filters during discovery, when the team gathers evidence before deciding which opportunities, queries or competitors deserve deeper work.
04
Research workflows
Use research workflows during discovery, when the team gathers evidence before deciding which opportunities, queries or competitors deserve deeper work.
Workflow
How Exa MCP fits into the work
01
Web search
Use web search during discovery, when the team gathers evidence before deciding which opportunities, queries or competitors deserve deeper work.
02
Page retrieval
Page retrieval is one of Exa MCP’s documented core capabilities. Its exact scope can vary by plan, deployment and integration, so validate it against the current product documentation.
03
Advanced search filters
Use advanced search filters during discovery, when the team gathers evidence before deciding which opportunities, queries or competitors deserve deeper work.
Decision guide
What to know before choosing
A good fit when
- ✓You need support for MCP and Web Search 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 Code, Cursor, Codex, VS Code.
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 research workflows for your team.
Categories
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