Elasticsearch
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.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-30.
Scan details: Circle-IR · 2026-09-30 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/awesimon/elasticsearch-mcp
- Author type
- human
- Last scanned
- 2026-09-30
- Updated
- 2026-09-30
Use via MCP
Resolve Elasticsearch from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.