elastic-semantic-search-mcp-server
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This repository provides a Python implementation of an MCP server for semantic search through Search Labs blog posts indexed in Elasticsearch.
The MCP Server for Elasticsearch Semantic Search Tool is designed to facilitate semantic search capabilities on Search Labs blog posts using Elasticsearch. The server is implemented in Python and leverages the Elastic Open Crawler to index blog posts into the 'search-labs-posts' index. The server is configured to work with Elasticsearch's ELSER model, enabling advanced semantic search functionalities. Users can integrate this server with platforms like Claude Desktop and manage the server through MCP Inspector. The setup involves configuring Elasticsearch with the necessary API keys and index mappings, running the crawler to populate the index, and verifying the indexed documents. This tool is ideal for developers looking to implement semantic search capabilities in their applications using Elasticsearch.
Features
- Semantic Search: Enables advanced search capabilities using Elasticsearch's ELSER model.
- Integration with Claude Desktop: Easily integrates with Claude Desktop for enhanced functionality.
- MCP Inspector Access: Provides a user interface for managing the server through MCP Inspector.
- Elastic Open Crawler: Utilizes Elastic Open Crawler for indexing blog posts into Elasticsearch.
- API Key Configuration: Securely configure Elasticsearch with API keys for controlled access.