Seosiri Semantic Entity

📖 Official Architecture & Documentation: SEOSiri Semantic Entity Guide | Central MCP Directory

An open-source, local-first Model Context Protocol (MCP) server for Named Entity Extraction, Wikidata Disambiguation, sameAs Schema Linking, and Knowledge Graph Triple Construction.

💖 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)

• extract_named_entities: Scrapes and parses text content to identify named entities.
• disambiguate_wikidata_entity: Resolves entity names to canonical Wikidata QIDs.
• generate_sameas_schema_links: Compiles structured sameAs array mappings for Schema.org JSON-LD.
• calculate_entity_salience_score: Scores relative entity importance within a document.
• construct_knowledge_graph_triples: Generates Subject-Predicate-Object ($S \rightarrow P \rightarrow O$) semantic triples.
• audit_entity_density_ratio: Evaluates entity frequency per 100 words.
• export_graph_parquet_buffer: Formats knowledge graph triples into columnar Parquet buffers.
• sanitize_entity_payload: Strips script injections and malformed tags.
• get_live_entity_throughput_metrics: Monitors system health and processing latency.
• get_entity_server_specifications: Returns protocol specs and capability matrices.

Quickstart

pip install -e .
pytest tests/test_semantic_entity.py

🔌 Claude Desktop / Cursor Configuration

Add this block to your claude_desktop_config.json:

{
  "mcpServers": {
    "seosiri-semantic-entity": {
      "command": "uv",
      "args": [
        "run",
        "--github",
        "SEOSiri-Official/semantic-entity-mcp",
        "src/main_server.py"
      ]
    }
  }
}

License

Distributed under the MIT License. See LICENSE for more details.