Kibana

io.github.TocharianOUPublished by GitHub account TocharianOUv0.11.1Updated Oct 24, 2026

Kibana MCP Server with dynamic API discovery and comprehensive Elastic Stack integration

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Overview

AI-generated overview

A community Kibana MCP server that lets an assistant query Kibana status, search Elasticsearch logs, and manage saved objects like dashboards and visualizations

What you can do
Check Kibana server status and list available spaces, plus browse and search the Kibana API endpoint catalog with endpoint details and a raw API execution tool. Search Elasticsearch documents, logs and aggregations through Kibana's search route with bounded Query DSL. Search, read, create, update and bulk-update or bulk-delete saved objects such as dashboards, visualizations, index patterns, Lens, maps and tags. Analyze saved object dependencies, check deletion impact, and run health checks on single or all dashboards.
When to use it
Useful when an assistant should work against an existing Kibana instance: investigating logs and traces, finding or editing dashboards and visualizations, or checking dashboard health and dependencies before changes.
Requirements
Runs locally as an npm package (Node.js 18 or later) over stdio, or in HTTP mode with MCP_TRANSPORT and MCP_HTTP_PORT. Requires KIBANA_URL and one authentication method: KIBANA_API_KEY, KIBANA_USERNAME with KIBANA_PASSWORD, or session cookies. Network access to the Kibana instance is needed.
Before you install
The server acts with the Kibana credentials it is started with, so its permissions are yours. Saved object tools can create, update and bulk-delete objects. HTTP mode exposes those credentials: set MCP_BEARER_TOKEN before binding beyond localhost, since anyone reaching the port can use them. The Elasticsearch search tool allows Query DSL searches for accounts that lack the Dev Tools privilege, which administrators may rely on to block ad-hoc queries. Disabling TLS validation is risky.

Installation

In SourceWeft

  1. Open Kibana in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

[MseeP.ai Security Assessment Badge]

Kibana MCP Server

[npm version] [Downloads] [Ask DeepWiki]

A Kibana MCP server implementation that allows any MCP-compatible client (such as Claude Desktop) to access your Kibana instance via natural language or programmatic requests.

This project is based on the official Elastic Kibana API documentation and uses the OpenAPI YAML specification from Elastic Stack 8.x. For details, see the Kibana API documentation.

This project is community-maintained and is not an official product of Elastic or MCP.

💡 Companion Project: For complete Elastic Stack integration, pair this with Elasticsearch MCP Server for direct Elasticsearch data operations.


🚀 Installation

bash
# Global installation (recommended)npm install -g @tocharianou/mcp-server-kibana
# Or use directly with npxnpx @tocharianou/mcp-server-kibana

From Source

bash
git clone https://github.com/TocharianOU/mcp-server-kibana.gitcd mcp-server-kibananpm install && npm run build

🎯 Quick Start

Claude Desktop Integration (Recommended)

Add to your Claude Desktop configuration file:

  • MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
json
{  "mcpServers": {    "kibana": {      "command": "npx",      "args": ["@tocharianou/mcp-server-kibana"],      "env": {        "KIBANA_URL": "http://your-kibana-server:5601",        "KIBANA_API_KEY": "your-api-key",        "KIBANA_DEFAULT_SPACE": "default"      }    }  }}

Direct CLI Usage

bash
# Using API Key (recommended)KIBANA_URL=http://localhost:5601 \KIBANA_API_KEY=your-api-key \npx @tocharianou/mcp-server-kibana
# Using Basic AuthKIBANA_URL=http://localhost:5601 \KIBANA_USERNAME=your-username \KIBANA_PASSWORD=your-password \npx @tocharianou/mcp-server-kibana
# Using Cookie AuthKIBANA_URL=http://localhost:5601 \KIBANA_COOKIES="sid=xxx; security-session=yyy" \npx @tocharianou/mcp-server-kibana

HTTP Mode (Remote Access)

bash
MCP_TRANSPORT=http \MCP_HTTP_PORT=3000 \KIBANA_URL=http://localhost:5601 \KIBANA_API_KEY=your-api-key \npx @tocharianou/mcp-server-kibana

Access at: http://localhost:3000/mcp
Health check: http://localhost:3000/health

Securing HTTP mode. Every session on /mcp acts with the Kibana credentials the server was started with, so treat the endpoint as sensitive:

  • By default the server listens on localhost only and rejects requests whose Host header is not a loopback name (DNS rebinding protection).
  • To accept remote clients, set MCP_BEARER_TOKEN. Clients must then send Authorization: Bearer <token> on every /mcp request. /health stays open.
  • Binding to a non-loopback address (MCP_HTTP_HOST=0.0.0.0) without MCP_BEARER_TOKEN logs a warning at startup: anyone who can reach the port can use your Kibana credentials.
  • Behind a reverse proxy that forwards its public Host header to a localhost-bound server, list that hostname in MCP_ALLOWED_HOSTS.
bash
MCP_TRANSPORT=http \MCP_HTTP_HOST=0.0.0.0 \MCP_BEARER_TOKEN="$(openssl rand -hex 32)" \KIBANA_URL=http://localhost:5601 \KIBANA_API_KEY=your-api-key \npx @tocharianou/mcp-server-kibana

✨ Features

Core Capabilities

  • Dual transport modes: Stdio (local) and HTTP (remote access)
  • Multiple authentication methods: API Key, Basic Auth, Cookie-based
  • Multi-space support: Enterprise-ready Kibana space management
  • SSL/TLS support: Custom CA certificate configuration
  • Session management: Automatic UUID generation for HTTP mode
  • Dynamic API discovery: Based on official Kibana OpenAPI specification

Saved Objects Management

  • Complete CRUD operations for all Kibana saved object types
  • Intelligent search with pagination support
  • Bulk operations for efficient mass updates
  • Version control with optimistic concurrency
  • Reference management for object relationships

🔧 Configuration

Required Variables

VariableDescriptionExample
KIBANA_URLKibana server addresshttp://localhost:5601

Authentication (choose one method)

VariableDescriptionPriority
KIBANA_API_KEYAPI Key (base64 encoded)1st
KIBANA_USERNAME + KIBANA_PASSWORDBasic authentication2nd
KIBANA_COOKIESSession cookies3rd

Optional Variables

VariableDescriptionDefault
KIBANA_DEFAULT_SPACEDefault Kibana spacedefault
KIBANA_CA_CERTCA certificate path-
KIBANA_TIMEOUTRequest timeout (ms)60000
MCP_TRANSPORTTransport modestdio
MCP_HTTP_PORTHTTP server port3000
MCP_HTTP_HOSTHTTP server hostlocalhost
MCP_BEARER_TOKENHTTP mode: require Authorization: Bearer <token> on /mcp-
MCP_ALLOWED_HOSTSHTTP mode: extra hostnames accepted in the Host header (comma-separated)-
NODE_TLS_REJECT_UNAUTHORIZEDDisable SSL validation1

🛠️ Available Tools

Base Tools

  • get_status - Get Kibana server status
  • execute_kb_api - Execute custom Kibana API requests
  • search_elasticsearch - Search Elasticsearch documents and logs through Kibana's search API, within the user's Elasticsearch index privileges
  • get_available_spaces - List available Kibana spaces
  • search_kibana_api_paths - Search API endpoints
  • list_all_kibana_api_paths - List all API endpoints
  • get_kibana_api_detail - Get API endpoint details

Saved Objects Tools

  • vl_search_saved_objects - Search saved objects (universal)
  • vl_get_saved_object - Get single saved object
  • vl_create_saved_object - Create new saved object
  • vl_update_saved_object - Update single saved object
  • vl_bulk_update_saved_objects - Bulk update operations
  • vl_bulk_delete_saved_objects - Bulk delete operations

Supported Object Types: dashboard, visualization, index-pattern, search, config, lens, map, tag, canvas-workpad, canvas-element

Analysis Tools (v0.6.0+)

  • analyze_object_dependencies - Analyze saved object dependencies
  • analyze_deletion_impact - Check impact before deletion
  • check_dashboard_health - Dashboard health check
  • scan_all_dashboards_health - Batch health scanning

Elasticsearch Data Search

Use search_elasticsearch when you need to search documents, application logs, traces, or aggregations in Elasticsearch. It sends Query DSL through Kibana's /internal/search/es route instead of the Dev Tools Console proxy.

The tool is read-only and does not widen data access: Elasticsearch enforces the configured user's index privileges on every search, exactly as it does for Discover and dashboards. Indices the user cannot read return no results.

It exists because the Dev Tools Console proxy (/api/console/proxy) is gated by a separate Kibana privilege, since the Console can call any Elasticsearch API including write and admin endpoints. A user who can read the target indices but has no Dev Tools privilege gets 403 from the Console proxy; this tool gives that user search, and nothing more. If your Kibana administrators rely on withholding Dev Tools to block ad-hoc queries from an account, be aware that this tool allows Query DSL searches for it.

Example tool arguments for a bounded log search:

json
{  "index": "application-logs-*",  "body": {    "size": 20,    "_source": [      "@timestamp",      "message",      "trace.id",      "service.name"    ],    "sort": [      { "@timestamp": "desc" }    ],    "query": {      "bool": {        "filter": [          {            "range": {              "@timestamp": {                "gte": "2025-01-15T10:00:00Z",                "lt": "2025-01-15T11:00:00Z"              }            }          },          {            "term": {              "service.name.keyword": "example-service"            }          }        ]      }    }  }}

For high-volume logs, start with a small time window and a small size. After finding a trace or correlation id, use that value in a second narrow search instead of repeatedly scanning a broad time range. Use _source to keep only fields needed for the current investigation.

The tool rejects wildcard-only index segments such as *, **, or _all (including inside comma-separated index expressions), an empty search body, and body.size above 100. String size values are coerced and validated as numbers. The endpoint is an internal Kibana API, so compatibility should be verified after major Kibana upgrades.


📖 Resources

Resource URIDescription
kibana-api://pathsList all available API endpoints
kibana-api://paths?search=<keyword>Search endpoints by keyword
kibana-api://path/{method}/{encoded_path}Get specific endpoint details

💬 Example Queries

Basic Operations

  • "What is the status of my Kibana server?"
  • "List all available Kibana spaces"
  • "Show me all API endpoints related to dashboards"

Elasticsearch & Logs

  • "Search the production logs for errors from service X in the last hour"
  • "Find this trace id and show the surrounding log events in chronological order"
  • "Search index application-logs-* using this Elasticsearch Query DSL"
  • "Aggregate error counts by service for this time range"

Saved Objects

  • "Search for all dashboards"
  • "Find visualizations containing 'nginx' in the title"
  • "Create a new dashboard named 'Sales Overview'"
  • "Update the description of dashboard 'my-dashboard-123'"
  • "Delete multiple dashboards by their IDs"

Health & Analysis

  • "Check health of dashboard 'overview'"
  • "Analyze dependencies for visualization 'viz-123'"
  • "Scan all dashboards for health issues"

🐛 Troubleshooting

Connection Issues

  • Verify Kibana URL is accessible
  • Check authentication credentials
  • For SSL issues: NODE_TLS_REJECT_UNAUTHORIZED=0 (use with caution)

Claude Desktop Issues

  • Restart Claude Desktop after config changes
  • Validate JSON config syntax
  • Check console logs for errors

Common Errors

  • "import: command not found": Update to latest version
  • Authentication failed: Verify credentials and permissions
  • SSL errors: Check CA certificate or disable SSL validation
  • 403 from /api/console/proxy while searching Elasticsearch: Use search_elasticsearch. The Console proxy can require the Kibana Dev Tools privilege even when the user has permission to read the target indices.

🔍 Debugging

Use MCP Inspector for debugging:

bash
npm run inspector

This provides a browser-accessible debugging interface.


📦 Package Information


🤝 Contributing

This project is community-maintained. Contributions and feedback are welcome!

Please follow the Elastic Community Code of Conduct in all communications.


📄 License

Apache License 2.0 - See LICENSE file for details.

Source: README.md at commit 1fe0eb9

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

3
  1. v0.11.1LatestOct 11, 2026
  2. v0.11.0Oct 11, 2026
  3. v0.10.2Sep 16, 2026

Score

50% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts