Elasticsearch
This Elasticsearch MCP server implementation provides a standardized interface for interacting with Elasticsearch clusters through natural language. Developed to bridge the gap between large language models and Elasticsearch, it offers tools for index operations, document searching, and cluster management. The server leverages Docker for easy deployment of a 3-node Elasticsearch cluster with Kibana, and integrates seamlessly with Claude Desktop via a simple configuration. It's particularly useful for developers and data analysts who want to explore and manipulate Elasticsearch data using conversational AI, enabling natural language queries for complex search operations and cluster insights without requiring in-depth Elasticsearch expertise.
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 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- cloud-infra
- Source
- PulseMCP
- Repository
- github.com/cr7258/elasticsearch-mcp-server
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
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.