Elasticsearch
Elasticsearch MCP Server enables AI assistants to interact with Elasticsearch clusters through a standardized interface built on Spring AI MCP. It provides tools for checking cluster health, retrieving index mappings, managing aliases, and performing document searches using Elasticsearch's query DSL. Developed with Java 17 and Spring Boot, the server exposes Elasticsearch's core functionality as MCP tools that can be called via JSON-RPC from any compatible client. The modular architecture makes it easy to extend with additional Elasticsearch capabilities while maintaining version compatibility, making it ideal for teams that need to integrate AI assistants with their existing Elasticsearch infrastructure for data exploration and search operations.
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 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- maps-location
- Source
- PulseMCP
- Repository
- github.com/silbaram/elasticsearch-mcp-server
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
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.