Elasticsearch
Elasticsearch MCP server enables AI assistants to interact with Elasticsearch clusters through natural language conversations. Built with TypeScript and the official Elasticsearch client library, it provides tools for listing indices, inspecting field mappings, and executing full Query DSL searches with automatic highlighting of text fields. The implementation handles authentication via API keys, supports configurable security permissions, and is particularly valuable for users who need to explore and analyze their Elasticsearch data through conversational interfaces.
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 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- security
- Source
- PulseMCP
- Repository
- github.com/elastic/mcp-server-elasticsearch
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
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.