Elasticsearch MCP Server provides a bridge between AI assistants and Elasticsearch databases, enabling natural language interaction with search functionality and index management. Built with TypeScript and leveraging the official Elasticsearch client, it offers tools for creating indices, defining mappings, performing searches, bulk importing data, and retrieving cluster health information. The implementation uses the Model Context Protocol SDK for standardized communication, making it particularly valuable for users who need to query and manage Elasticsearch data without remembering complex query syntax or API endpoints.
Cognium trust score
50%
Tier
Unverified
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
Returns 7 tools: search_skills, get_skill, list_leaderboard, get_trust_breakdown, resolve_composition, plus the ChatGPT-connector search and fetch. Every tool is annotated read-only.
Resolve this skill directly via MCP tools/call get_skill.