Kibana
The Kibana MCP Server provides AI assistants with direct access to Kibana's API endpoints for Elasticsearch data visualization and management. Built by TocharianOU, this TypeScript implementation uses the Model Context Protocol SDK to expose tools for querying Kibana server status, executing custom API requests, and exploring available API endpoints through a searchable interface. The server includes a comprehensive OpenAPI specification parser that resolves references for detailed endpoint documentation, authentication support via username/password or CA certificates, and specialized prompts for both tool-based and resource-based interactions. Financial analysts, DevOps engineers, and data teams can use this connector to monitor Elasticsearch clusters, manage visualizations, and troubleshoot Kibana deployments through natural language conversations with AI assistants.
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
- devops-ci
- Source
- PulseMCP
- Repository
- github.com/tocharianou/mcp-server-kibana
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Kibana 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.