mshegolev/kibana-mcp

mshegolev/kibana-mcp

MCP server for Kibana / Elasticsearch — log search, aggregations, index discovery, and dashboard browsing. Hits Elasticsearch REST API directly for log queries; falls back to Kibana Console proxy when no direct ES URL is configured. Supports ApiKey auth (best for agents), Basic auth, and anonymous access. All 5 tools are read-only (readOnlyHint: true). Returns structured JSON (outputSchema).

Category
访问服务器

README

kibana-mcp

<!-- mcp-name: io.github.mshegolev/kibana-mcp -->

PyPI version Python 3.10+ License: MIT Tests

MCP server for Kibana / Elasticsearch — log search, aggregations, index discovery, and dashboard browsing via Claude and any MCP-compatible agent.

Why another Kibana MCP?

Existing integrations require a running Kibana instance with browser-level credentials and often wrap the Kibana UI rather than the stable REST APIs. This server:

  • Hits Elasticsearch REST API directly for log queries (faster, stable across Kibana UI changes)
  • Falls back to the Kibana Console proxy when no direct ES URL is configured (zero extra firewall rules)
  • Supports ApiKey auth (best for agents) as well as Basic auth and anonymous access
  • Returns both structured JSON (outputSchema) and markdown text so it works with any MCP client
  • Is read-only — all tools carry readOnlyHint: true, no data is modified

Tools

Tool API Description
kibana_list_indices GET ES/_cat/indices Discover available indices with health, docs, size
kibana_search_logs POST ES/{index}/_search Full-text log search with time range, sort, size
kibana_aggregate_logs POST ES/{index}/_search Terms grouping with count/avg/sum/min/max metric
kibana_list_dashboards GET Kibana/api/saved_objects/_find List saved dashboards with search + pagination
kibana_get_dashboard GET Kibana/api/saved_objects/dashboard/{id} Fetch one dashboard with panel breakdown

Installation

pip install kibana-mcp

Or run directly with uvx:

uvx kibana-mcp

Configuration

Environment Variables

Variable Required Description
KIBANA_URL Yes Kibana base URL (e.g. https://kibana.example.com)
ELASTICSEARCH_URL No Direct ES endpoint. If unset, ES requests go through Kibana Console proxy
KIBANA_API_KEY No ES API key (ApiKey base64(id:api_key) format). Recommended for agents
KIBANA_USERNAME No HTTP Basic auth username (used if API key not set)
KIBANA_PASSWORD No HTTP Basic auth password
KIBANA_SSL_VERIFY No true (default) or false for self-signed certificates

Auth priority: ApiKey > Basic > anonymous.

Copy .env.example to .env and fill in your values.

MCP Client Configuration (Claude Desktop / claude.app)

{
  "mcpServers": {
    "kibana": {
      "command": "uvx",
      "args": ["kibana-mcp"],
      "env": {
        "KIBANA_URL": "https://kibana.example.com",
        "KIBANA_API_KEY": "your-api-key-here"
      }
    }
  }
}

Or with direct ES access for better performance:

{
  "mcpServers": {
    "kibana": {
      "command": "uvx",
      "args": ["kibana-mcp"],
      "env": {
        "KIBANA_URL": "https://kibana.example.com",
        "ELASTICSEARCH_URL": "https://es.example.com:9200",
        "KIBANA_API_KEY": "your-api-key-here"
      }
    }
  }
}

Docker

docker run --rm -i \
  -e KIBANA_URL=https://kibana.example.com \
  -e KIBANA_API_KEY=your-key \
  ghcr.io/mshegolev/kibana-mcp

Usage Examples

Log Search

Find the last 50 ERROR logs from the API service in the last hour

kibana_search_logs(index="logs-*", query="level:ERROR AND service:api", size=50, time_from="2026-04-18T09:00:00Z")

Show 500 HTTP errors sorted oldest first for incident replay

kibana_search_logs(index="nginx-*", query="status:500", sort_order="asc", size=100)

Aggregations

How many logs per log level in the last hour?

kibana_aggregate_logs(index="logs-*", group_by="level", time_from="2026-04-18T09:00:00Z")

What is the average response time per service?

kibana_aggregate_logs(index="logs-*", group_by="service.keyword", metric="avg", metric_field="response_time_ms")

Index Discovery

What log indices are available?

kibana_list_indices()

Show me all filebeat indices

kibana_list_indices(pattern="filebeat-*")

Dashboards

Find the infrastructure dashboard

kibana_list_dashboards(search="infrastructure")

What panels does dashboard X have?

kibana_get_dashboard(dashboard_id="<id from list_dashboards>")

Performance Characteristics

  • Log search (kibana_search_logs): typically 50-500ms with direct ES URL; add 100-200ms when routing through Kibana Console proxy
  • Aggregations (kibana_aggregate_logs): size:0 queries — no hits transferred, usually 10-100ms
  • Index listing: single _cat/indices call, O(index_count) response, typically <100ms
  • Dashboard APIs: Kibana Saved Objects API, typically 50-200ms; latency is Kibana-side, not network
  • Set ELASTICSEARCH_URL directly if your agent does frequent log searches — eliminates the proxy overhead

Development

git clone https://github.com/mshegolev/kibana-mcp
cd kibana-mcp
pip install -e '.[dev]'
pytest tests/ -v
ruff check src tests
ruff format src tests

License

MIT — see LICENSE.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选
mshegolev/kibana-mcp