dataseo-mcp
A free SEO research tool using Model Context Protocol (MCP) powered by Ahrefs data. Get backlink analysis, keyword research, traffic estimation, and more — directly in your AI-powered IDE.
- 193 stars
- 30 forks
- 1 open issues
- Language: Python
- License: NOASSERTION
- updated
Install
local · uvx (python)claude mcp add dataseo-mcp -- uvx dataseo-mcp{
"mcpServers": {
"dataseo-mcp": {
"command": "uvx",
"args": ["dataseo-mcp"]
}
}
}{
"mcpServers": {
"dataseo-mcp": {
"command": "uvx",
"args": ["dataseo-mcp"]
}
}
}- Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
- Replace any <placeholder> values with your API keys or paths.
- Restart Claude. The MCP server and its tools appear automatically.
Package name inferred from the repository name. Verify it exists on PyPI, or clone https://github.com/egebese/dataseo-mcp and follow its README.
MCP Servers overview
What people ask about dataseo-mcp
What is egebese/dataseo-mcp?
egebese/dataseo-mcp is mcp servers for the Claude AI ecosystem. A free SEO research tool using Model Context Protocol (MCP) powered by Ahrefs data. Get backlink analysis, keyword research, traffic estimation, and more — directly in your AI-powered IDE. It has 193 GitHub stars and its last recorded update is dated 2026-07-06.
How do I install dataseo-mcp?
You can install dataseo-mcp by cloning the repository (https://github.com/egebese/dataseo-mcp) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is egebese/dataseo-mcp safe to use?
Our security agent has analyzed egebese/dataseo-mcp and assigned a Trust Score of 72/100 (tier: OK). See the full breakdown of passed checks and flags on this page.
Who maintains egebese/dataseo-mcp?
egebese/dataseo-mcp is maintained by egebese. The last recorded GitHub activity is dated 2026-07-06, with 1 open issues.
Are there alternatives to dataseo-mcp?
Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.