OpenObserve MCP Server
Enables querying logs, traces, and metrics from multiple OpenObserve instances via MCP tools, with parallel execution, batching, and caching.
README
OpenObserve MCP Server
Model Context Protocol (MCP) server for querying OpenObserve instances from AI agents like Claude, Cursor, and OpenCode.
What is MCP?
Model Context Protocol (MCP) is an open protocol that enables AI assistants to connect with external tools and data sources. This server implements MCP to let your AI agent query logs, traces, and metrics from OpenObserve.
Features
- Multi-instance support - Query multiple OpenObserve instances in parallel
- SQL-based querying - Full PostgreSQL-compatible SQL for logs
- Batch execution - Run multiple queries efficiently
- LRU caching - Smart caching with TTL for faster results
- Pagination - Handle large result sets
- MCP stdio transport - Works with any MCP-compatible client
Installation
npm install -g openobserve-mcp
Or use with npx (no install):
npx openobserve-mcp --config /path/to/config.json
Quick Start
- Set up authentication (Base64 encoded credentials):
export PROD_GCP_O2_TOKEN=$(echo -n "user@example.com:password" | base64)
- Create config file (
config.json):
{
"instances": [{
"id": "prod-gcp",
"name": "Production GCP",
"url": "https://openobserve.example.com",
"auth": { "type": "env", "envVar": "PROD_GCP_O2_TOKEN" },
"defaults": { "org": "default", "timeout": 30000, "maxResults": 1000 },
"capabilities": ["logs", "traces", "metrics"],
"tags": ["production", "gcp"]
}]
}
- Add to your MCP client (Claude Desktop, Cursor, etc.):
{
"mcpServers": {
"openobserve": {
"command": "npx",
"args": ["openobserve-mcp", "--config", "/path/to/config.json"],
"env": {
"PROD_GCP_O2_TOKEN": "your_base64_token",
"PROD_AWS_O2_TOKEN": "your_base64_token"
}
}
}
}
- Example MCP server configuration for OpenCode CLI:
{
"openobserve": {
"type": "local",
"command": [
"npx",
"openobserve-mcp",
"--config",
"/Users/adarsh.ba/breeze/openobserve_mcp/config/openobserve.config.json"
],
"environment": {
"PROD_GCP_O2_TOKEN": "your_base64_token",
"PROD_AWS_O2_TOKEN": "your_base64_token"
},
"enabled": true
}
}
Available Tools
o2_search_logs- Search logs with SQL across instanceso2_batch_query- Execute multiple queries in parallelo2_list_instances- List configured instanceso2_list_streams- List available streams/indexes
Documentation
Requirements
- Node.js ≥ 18.0.0
- OpenObserve instance(s) with API access
Keywords
MCP, Model Context Protocol, OpenObserve, observability, logs, traces, metrics, SQL, AI agents, Claude, Cursor, LLM tools
License
MIT © Adarsh BA
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