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mshegolev

jaeger-mcp

by mshegolev

jaeger-mcp

PyPI version Python versions License: MIT Tests

MCP server for Jaeger distributed tracing. Give Claude (or any MCP-capable agent) read access to your trace data — search traces, inspect spans, map service dependencies — without leaving the conversation.

Why another Jaeger MCP?

The existing Jaeger integrations require a running UI or custom scripts. This server:

  • Speaks the standard Model Context Protocol over stdio — works with Claude Desktop, Claude Code, Cursor, and any MCP client.

  • Is read-only: all 5 tools carry readOnlyHint: true — zero risk of modifying trace data.

  • Returns dual-channel output: structured JSON (structuredContent) for programmatic use + Markdown (content) for human-readable display.

  • Has actionable error messages that name the exact env var to fix and suggest a next step.

  • Supports Bearer token, HTTP Basic auth, or no auth (common for internal deployments).

Tools

Tool

Endpoint

Description

jaeger_list_services

GET /api/services

List all instrumented services

jaeger_list_operations

GET /api/services/{service}/operations

List operation names for a service

jaeger_search_traces

GET /api/traces

Search traces with rich filters

jaeger_get_trace

GET /api/traces/{traceID}

Full trace detail with span tree

jaeger_get_dependencies

GET /api/dependencies

Service-to-service call graph

Installation

pip install jaeger-mcp

Or run directly without installing:

uvx jaeger-mcp

Configuration

All configuration is via environment variables:

Variable

Required

Default

Description

JAEGER_URL

Yes

Jaeger query service URL, e.g. https://jaeger.example.com

JAEGER_TOKEN

No

Bearer token (takes precedence over Basic auth)

JAEGER_USERNAME

No

HTTP Basic auth username

JAEGER_PASSWORD

No

HTTP Basic auth password

JAEGER_SSL_VERIFY

No

true

Set false for self-signed certificates

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

Claude Desktop / Claude Code setup

Add to your MCP config (claude_desktop_config.json or .claude/mcp.json):

{
  "mcpServers": {
    "jaeger": {
      "command": "jaeger-mcp",
      "env": {
        "JAEGER_URL": "https://jaeger.example.com",
        "JAEGER_TOKEN": "your-token-here"
      }
    }
  }
}

Or with uvx (no install required):

{
  "mcpServers": {
    "jaeger": {
      "command": "uvx",
      "args": ["jaeger-mcp"],
      "env": {
        "JAEGER_URL": "https://jaeger.example.com"
      }
    }
  }
}

Docker

docker run --rm -e JAEGER_URL=https://jaeger.example.com jaeger-mcp

Example queries

Once configured, ask Claude:

  • "What services does Jaeger know about?"

  • "Find traces with HTTP 500 errors in order-service from the last hour"

  • "Show me the slowest traces (over 2 seconds) for GET /checkout"

  • "What caused the error in trace abcdef1234567890?"

  • "Map the service dependency graph for the last 7 days"

  • "Which services call postgres most frequently?"

Tool usage guide

jaeger_list_services

Returns all service names Jaeger has seen. Start here when you don't know which services are instrumented. Output is capped at 500 services with a truncation hint.

jaeger_list_operations

Returns all operation names for a given service (e.g. HTTP route names, gRPC method names). Use to discover valid operation names before filtering jaeger_search_traces.

jaeger_search_traces

The main search tool. Filters:

  • service (required) — service name from jaeger_list_services

  • operation — narrow to a specific endpoint

  • tags — JSON string of tag filters, e.g. {"http.status_code":"500"} or {"error":"true"}

  • start / end — time range in microseconds UTC

  • min_duration / max_duration — duration strings like "100ms", "1.5s", "2m"

  • limit — default 20, max 1500

Returns trace summaries with trace_id, duration_us, span_count, service_count, root_operation, errors_count.

jaeger_get_trace

Full trace detail. Accepts a trace_id (hex string, 16-32 chars) and returns:

  • All spans with tags, service names, parent/child relationships

  • Per-service statistics (span count, total duration, error count)

  • Execution tree (each node lists its child span IDs)

Error spans are identified by tags["error"] = "true".

jaeger_get_dependencies

Service topology graph. Returns directed edges (parent → child) with call_count. Use lookback_hours (default 24, max 720) to control the window.

Performance characteristics

  • All tools use a single persistent requests.Session with connection pooling.

  • The session has trust_env = False to bypass environment proxies (Jaeger is typically an internal service).

  • Requests time out after 30 seconds.

  • jaeger_search_traces passes limit directly to Jaeger — avoid requesting more traces than needed.

  • jaeger_get_trace fetches the full trace in one call — large traces (thousands of spans) may be slow.

  • jaeger_get_dependencies aggregates over the full lookback window; large windows may be slow on busy clusters.

Development

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

License

MIT — see LICENSE.

Install Server
A
security – no known vulnerabilities
A
license - permissive license
A
quality - A tier

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