Keyword Extractor Ai Mcp
Wire your coding agent to extract and rank keywords from pages or copy so you can shape landing pages and blog outlines without leaving the editor.
Overview
keyword-extractor-ai-mcp is a MCP server for the Launch phase that lets your agent extract and organize SEO keywords from text via a local PyPI stdio integration.
What is this MCP server?
- stdio MCP server (v1.0.4) installable from PyPI as keyword-extractor-ai-mcp
- Designed for agent-driven keyword extraction workflows from MEOK AI Labs / CSOAI-ORG
- Fits Claude Code, Cursor, and other MCP clients that spawn local Python tools
- Complements manual SEO research by returning structured keyword signals the agent can apply to copy
- Open-source repo on GitHub for auditing transport and package metadata before production use
- Catalog server version: 1.0.4
- 1 PyPI package identifier: keyword-extractor-ai-mcp
- Transport: stdio
What problem does it solve?
You are polishing landing copy and docs in the repo but lack a fast, agent-native way to surface relevant keywords without juggling another SEO tab.
Who is it for?
Indie builders iterating marketing or docs copy inside Claude Code or Cursor who want lightweight keyword suggestions through MCP.
Skip if: Teams that need verified search volume, rank tracking, or enterprise SEO suites with audited traffic data.
What do I get? / Deliverables
After you register the server, your agent can return keyword-focused suggestions you can paste into titles, meta descriptions, and section outlines in the same session.
- Agent-callable keyword extraction results from supplied text or page content
- Repeatable local MCP tool you can invoke across multiple copy-editing sessions
- Version-pinned PyPI integration (catalog lists 1.0.4)
Recommended MCP Servers
Journey fit
Keyword extraction sits in Launch because solo builders use it when pages already exist or are drafting—tuning titles, headings, and topic clusters for search and AI-overview visibility. SEO is the canonical shelf: the server’s purpose is term discovery and prioritization for organic discovery, not full competitive research or analytics dashboards.
How it compares
MCP keyword tool for agents, not a standalone Ahrefs-style research platform or a reusable agent skill file.
Common Questions / FAQ
Who is keyword-extractor-ai-mcp for?
Solo and indie builders using MCP-enabled coding agents who want keyword extraction while they edit site or product copy.
When should I use keyword-extractor-ai-mcp?
Use it during Launch SEO work when you are drafting or refining pages and want the agent to propose terms and long-tail angles from your text.
How do I add keyword-extractor-ai-mcp to my agent?
Install the PyPI package keyword-extractor-ai-mcp (v1.0.4), configure it as a stdio MCP server in Claude Code, Cursor, or another MCP client, then restart the client so tools appear.