A sovereign, local-first MCP server for semantic keyword clustering, search intent classification, cannibalization detection, and topical authority mapping.
Project description
seosiri-keyword-cluster-mcp
📖 Official Architecture & Documentation: SEOSiri Keyword Clustering Guide | Central MCP Directory
An open-source, local-first Model Context Protocol (MCP) server for Semantic Keyword Clustering, Search Intent Classification, Cannibalization Detection, and Topical Authority Mapping.
💖 Sponsorship, B2B Custom Solutions & Attribution
👨💻 Lead Architect & Attribution
Designed and engineered by Momenul Ahmad, Lead Architect and Founder of SEOSiri.
🚀 Capabilities & Tools (10 Production Tools)
cluster_keywords_by_similarity: Groups keyword lists into semantic clusters using token overlap.classify_search_intent: Categorizes queries into Informational, Navigational, Commercial, or Transactional intent.detect_keyword_cannibalization: Identifies conflicting URLs targeting the same search query.generate_topical_authority_map: Compiles pillar-cluster content hierarchy trees.calculate_keyword_difficulty_score: Computes algorithmic query difficulty scores ($0\text{--}100$).extract_lsi_semantic_variants: Identifies Latent Semantic Indexing terms and entity phrases.export_cluster_parquet_buffer: Formats keyword clusters into columnar Parquet buffers for DuckDB/S3.sanitize_keyword_payload: Strips scripts and malformed tags from inputs.get_live_keyword_throughput_metrics: Monitors system health and processing latency.get_keyword_server_specifications: Returns protocol specs and capability matrices.
Quickstart
pip install -e .
pytest tests/test_keyword_cluster.py
🔌 Claude Desktop / Cursor Configuration
Add this block to your claude_desktop_config.json:
{
"mcpServers": {
"seosiri-keyword-cluster": {
"command": "uv",
"args": [
"run",
"--github",
"SEOSiri-Official/keyword-cluster-mcp",
"src/main_server.py"
]
}
}
}
License
Distributed under the MIT License.
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