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Reehal <jag@jagreehal.com> (https://jagreehal.com)","license":"Apache-2.0","homepage":"https://github.com/jagreehal/autotel/tree/main/packages/autotel-mcp#readme","keywords":["opentelemetry","otel","mcp","model-context-protocol","ai-agents","observability","traces","metrics","logs","otlp","collector"],"repository":{"url":"https://github.com/jagreehal/autotel","type":"git","directory":"packages/autotel-mcp"},"description":"MCP server for AI agents to investigate OpenTelemetry traces, metrics, and logs","maintainers":[{"name":"jagreehal","email":"jag.reehal@gmail.com"}],"readme":"# autotel-mcp\n\nAn MCP server that gives AI agents the ability to investigate OpenTelemetry traces, metrics, and logs. Ships with a built-in OTLP collector so any instrumented app can send data directly. No Jaeger, Grafana, or vendor setup required.\n\n### Key Features\n\n- **Backend-agnostic.** Built-in OTLP collector on port 4318 accepts data from any OTel-instrumented app.\n- **All three signals.** Traces, metrics, and logs: with cross-signal correlation.\n- **Agent-optimized.** 41 tools designed for progressive investigation: discover → diagnose → correlate → root cause.\n- **Zero infrastructure.** In-memory by default, persistent with `--persist`.\n\n### Requirements\n\n- Node.js 20 or newer\n- An MCP client: Claude Code, Claude Desktop, VS Code, Cursor, Windsurf, Goose, or any other MCP client\n\n## Getting started\n\nInstall the autotel-mcp server with your client.\n\n**Standard config** works in most tools:\n\n```json\n{\n  \"mcpServers\": {\n    \"autotel\": {\n      \"command\": \"npx\",\n      \"args\": [\"autotel-mcp\"]\n    }\n  }\n}\n```\n\n<details>\n<summary>Claude Code</summary>\n\nUse the Claude Code CLI to add the server:\n\n```bash\nclaude mcp add autotel npx autotel-mcp\n```\n\n</details>\n\n<details>\n<summary>Claude Desktop</summary>\n\nFollow the MCP install [guide](https://modelcontextprotocol.io/quickstart/user). Add to your config:\n\n```json\n{\n  \"mcpServers\": {\n    \"autotel\": {\n      \"command\": \"npx\",\n      \"args\": [\"autotel-mcp\"]\n    }\n  }\n}\n```\n\n</details>\n\n<details>\n<summary>VS Code</summary>\n\nFollow the MCP install [guide](https://code.visualstudio.com/docs/copilot/chat/mcp-servers#_add-an-mcp-server), use the standard config above. Or use the CLI:\n\n```bash\ncode --add-mcp '{\"name\":\"autotel\",\"command\":\"npx\",\"args\":[\"autotel-mcp\"]}'\n```\n\n</details>\n\n<details>\n<summary>Cursor</summary>\n\nGo to `Cursor Settings` -> `MCP` -> `Add new MCP Server`. Use `command` type with the command `npx autotel-mcp`.\n\n</details>\n\n<details>\n<summary>Windsurf</summary>\n\nFollow Windsurf MCP [documentation](https://docs.windsurf.com/windsurf/cascade/mcp). Use the standard config above.\n\n</details>\n\n<details>\n<summary>Cline</summary>\n\nAdd to your `cline_mcp_settings.json`:\n\n```json\n{\n  \"mcpServers\": {\n    \"autotel\": {\n      \"type\": \"stdio\",\n      \"command\": \"npx\",\n      \"args\": [\"autotel-mcp\"],\n      \"disabled\": false\n    }\n  }\n}\n```\n\n</details>\n\n<details>\n<summary>Codex</summary>\n\n```bash\ncodex mcp add autotel npx \"autotel-mcp\"\n```\n\nOr add to `~/.codex/config.toml`:\n\n```toml\n[mcp_servers.autotel]\ncommand = \"npx\"\nargs = [\"autotel-mcp\"]\n```\n\n</details>\n\n<details>\n<summary>Copilot CLI</summary>\n\n```bash\n/mcp add\n```\n\nOr add to `~/.copilot/mcp-config.json`:\n\n```json\n{\n  \"mcpServers\": {\n    \"autotel\": {\n      \"type\": \"local\",\n      \"command\": \"npx\",\n      \"tools\": [\"*\"],\n      \"args\": [\"autotel-mcp\"]\n    }\n  }\n}\n```\n\n</details>\n\n<details>\n<summary>Gemini CLI</summary>\n\nFollow the MCP install [guide](https://github.com/google-gemini/gemini-cli/blob/main/docs/tools/mcp-server.md#configure-the-mcp-server-in-settingsjson), use the standard config above.\n\n</details>\n\n<details>\n<summary>Goose</summary>\n\nGo to `Advanced settings` -> `Extensions` -> `Add custom extension`. Use type `STDIO`, set command to `npx autotel-mcp`.\n\n</details>\n\n<details>\n<summary>Amp</summary>\n\n```bash\namp mcp add autotel -- npx autotel-mcp\n```\n\nOr add to VS Code settings:\n\n```json\n\"amp.mcpServers\": {\n  \"autotel\": {\n    \"command\": \"npx\",\n    \"args\": [\"autotel-mcp\"]\n  }\n}\n```\n\n</details>\n\n<details>\n<summary>Warp</summary>\n\nGo to `Settings` -> `AI` -> `Manage MCP Servers` -> `+ Add`. Use the standard config above.\n\n</details>\n\n### With Jaeger backend\n\nTo query an existing Jaeger instance instead of the built-in collector:\n\n```json\n{\n  \"mcpServers\": {\n    \"autotel\": {\n      \"command\": \"npx\",\n      \"args\": [\"autotel-mcp\"],\n      \"env\": {\n        \"AUTOTEL_BACKEND\": \"jaeger\",\n        \"JAEGER_BASE_URL\": \"http://localhost:16686\"\n      }\n    }\n  }\n}\n```\n\n### With persistent storage\n\n```json\n{\n  \"mcpServers\": {\n    \"autotel\": {\n      \"command\": \"npx\",\n      \"args\": [\"autotel-mcp\", \"--persist\", \"./autotel.db\"]\n    }\n  }\n}\n```\n\n## How it works\n\n```\nYour App ──OTLP──> autotel-mcp (port 4318) ──libsql──> in-memory store\n                        │\nAI Agent ──MCP──────────┘\n                   (stdio or HTTP)\n```\n\n1. Your instrumented app sends traces/metrics/logs via OTLP to `http://localhost:4318`\n2. autotel-mcp stores the data in libsql (in-memory by default)\n3. Your AI agent connects via MCP and investigates using 41 tools\n\n## Backends\n\n### Collector (default)\n\nBuilt-in OTLP collector with libsql storage. Accepts all three signals on port 4318. No external dependencies.\n\n```bash\n# In-memory (default) — data lost on restart\nnpx autotel-mcp\n\n# Persistent storage — survives restarts\nnpx autotel-mcp --persist ./autotel.db\n```\n\nPoint your app's OTLP exporter at the collector:\n\n```bash\nOTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4318 node your-app.js\n```\n\n### Jaeger\n\nQuery an existing Jaeger instance. Traces only (metrics and logs unsupported by Jaeger API).\n\n```bash\nAUTOTEL_BACKEND=jaeger JAEGER_BASE_URL=http://localhost:16686 npx autotel-mcp\n```\n\n### Datadog\n\nQuery Datadog APM. Traces only, because the spans API carries no metrics or logs.\n\nDatadog splits its credentials by direction. An API key writes telemetry in. An\napplication key reads it back out, and every query here sends both:\n\n```bash\nexport DD_API_KEY=...          # Organization Settings -> API Keys\nexport DD_APP_KEY=...          # Organization Settings -> Application Keys, scoped apm_read\nexport DD_SITE=datadoghq.eu    # bare site, defaults to datadoghq.com\n\nAUTOTEL_BACKEND=datadog npx autotel-mcp\n```\n\nAn app that already exports to Datadog holds the API key alone. Add the\napplication key before this server can read those traces back.\n\nCheck the pair before you debug anything else:\n\n```bash\nAUTOTEL_BACKEND=datadog AUTOTEL_TRANSPORT=http npx autotel-mcp &\ncurl -s localhost:3000/health\n```\n\nA healthy response counts the services Datadog returned and reports `traces:\navailable` with metrics and logs `unsupported`. A missing application key fails\nthe health check and names the variable, so you never read an empty result as\n\"no data\". HTTP 403 means Datadog accepted the request and refused it: check\nthat `DD_SITE` matches the org and that the application key carries `apm_read`.\n\n## Offline cache and snapshots\n\nCollector schema and semantic-convention tools can run in CI or air-gapped environments using local cache/snapshots.\n\n- `AUTOTEL_OFFLINE_MODE=true`\n  Disable network fetches and use local cache + bundled snapshots only.\n- `AUTOTEL_UPSTREAM_CACHE_DIR=/path/to/cache`\n  Override cache directory (default: `.autotel-cache` in current working directory).\n\nBundled snapshots ship under `fixtures/upstream/` and include a baseline collector version/component catalog plus semantic-convention namespace data.\n\n## Configuration\n\nFlags override environment variables, which override defaults. `--help` lists\neverything.\n\n### Flags and environment variables\n\n| Flag                | Variable                  | Default                                       | Description                                     |\n| ------------------- | ------------------------- | --------------------------------------------- | ----------------------------------------------- |\n| `-b, --backend`     | `AUTOTEL_BACKEND`         | `collector`                                   | Backend: `collector`, `jaeger`, …               |\n| `-t, --transport`   | `AUTOTEL_TRANSPORT`       | `stdio`                                       | MCP transport: `stdio` or `http`                |\n| `-p, --port`        | `AUTOTEL_PORT`            | `3000`                                        | MCP HTTP port                                   |\n| `--allowed-hosts`   | `AUTOTEL_ALLOWED_HOSTS`   | localhost only                                | Hostnames the HTTP endpoint answers for         |\n| `--allowed-origins` | `AUTOTEL_ALLOWED_ORIGINS` | localhost only                                | Hostnames of browser origins allowed to call it |\n| `-H, --host`        | `AUTOTEL_HOST`            | `127.0.0.1`                                   | MCP HTTP bind address                           |\n| `--collector-port`  | `AUTOTEL_COLLECTOR_PORT`  | `4318`                                        | OTLP receiver port                              |\n| `--persist`         | `AUTOTEL_PERSIST`         | —                                             | libsql file path (omit for in-memory)           |\n| `--retention-ms`    | `AUTOTEL_RETENTION_MS`    | `3600000` (1h mem) / `86400000` (24h persist) | Data retention                                  |\n| `--max-traces`      | `AUTOTEL_MAX_TRACES`      | `10000`                                       | Max traces before eviction                      |\n| `--fixture`         | `AUTOTEL_FIXTURE_PATH`    | `./fixtures/telemetry.json`                   | Fixture backend data                            |\n| `--jaeger-url`      | `JAEGER_BASE_URL`         | `http://localhost:16686`                      | Jaeger API URL                                  |\n| `--devtools-url`    | `DEVTOOLS_BASE_URL`       | `http://localhost:4318`                       | autotel-devtools URL                            |\n| `--tempo-url`       | `TEMPO_BASE_URL`          | `http://localhost:3200`                       | Tempo URL                                       |\n| `--prometheus-url`  | `PROMETHEUS_BASE_URL`     | `http://localhost:9090`                       | Prometheus URL                                  |\n| `--loki-url`        | `LOKI_BASE_URL`           | `http://localhost:3100`                       | Loki URL                                        |\n| `--datadog-site`    | `DD_SITE`                 | `datadoghq.com`                               | Datadog region                                  |\n\nCredentials have no flag form. `argv` is readable by any process that can list\nthe process table, so `LOGFIRE_READ_TOKEN`, `DD_API_KEY`, `DD_APP_KEY` and\n`SIGNOZ_API_KEY` come from the environment only. Passing one as a flag is an\nerror that names the variable to set instead.\n\nAn unrecognised flag is reported on stderr and ignored, not treated as an error:\nthis binary read no `argv` at all until recently, and client configs in the wild\ncarry flags it never defined.\n\n### Issue automations\n\n`list_issues` / `get_issue` use the same grouping as autotel-devtools\n(`autotel-devtools/issues`). Against the devtools backend they read its stored\nissues, with status; on other backends issues are grouped from the window and\nread as active.\n\nFor backends without their own automations, set a destination and the server\npolls and sends an issue, with the context `get_issue` returns, when it reaches\n`AUTOTEL_ISSUES_THRESHOLD` occurrences (default 5) or returns after\n`AUTOTEL_ISSUES_QUIET_MINUTES` of silence (default 60):\n\n- `AUTOTEL_ISSUES_DESTINATION`: JSON, any destination devtools supports, e.g.\n  `{\"type\":\"claude-code\",\"routineId\":\"trig_…\",\"token\":\"…\"}`, `cursor`, `devin`,\n  `slack`, `pagerduty`, `webhook`.\n- `AUTOTEL_ISSUES_WEBHOOK` (+ `AUTOTEL_ISSUES_WEBHOOK_SECRET` for HMAC\n  signing): shorthand for a webhook.\n\nSends are retried up to three times. `AUTOTEL_ISSUES_INTERVAL_MS` sets the poll\ninterval (default 60000). Environment only: destinations carry credentials.\nWhat was sent, and a history of the last 200 sends, persist to\n`AUTOTEL_ISSUES_STATE` (a JSON file), or beside the `--persist` database\n(`<db>.issues.json`) when there is one, so a restart neither re-sends open\nissues nor forgets them. Without either, state is in memory.\n\nThe collector source-maps exception stacks at ingest: frames from bundles on\nthis machine map through the maps beside them, and `AUTOTEL_SOURCEMAPS` names a\ndirectory of production `.map` files.\n\n### Embedding\n\n`createApp()` reads no `argv` of its own, so a host CLI's flags cannot collide\nwith these:\n\n```ts\nimport { createApp } from 'autotel-mcp';\n\nconst app = await createApp(); // environment only\n// await createApp({ argv: process.argv.slice(2) })  // opt into flags\n// await createApp({ config })                       // already resolved\n\nawait app.start();\napp.createServer(); // a server instance; see below\n```\n\n`app.createServer` is a factory, not an instance. Protocol `2026-07-28` removed\nthe `initialize` handshake and the session header, so a server holds nothing\nbetween requests: the HTTP entry builds one per request, stdio builds one per\nconnection, and the same definition of the same tools serves both.\n\n### HTTP mode\n\nRun as a standalone Streamable HTTP server (for remote clients or environments\nwithout stdio):\n\n```bash\nnpx autotel-mcp --transport http --port 3000\n```\n\nThe endpoint validates the `Origin` and `Host` headers against localhost, which\nthe spec requires of any local server: binding to `127.0.0.1` is not on its own\na defence, because a page on any origin can post to it.\n\nHosting it under a real hostname means saying so, or that same guard answers\nevery request with `403` before it reaches a tool:\n\n```bash\nautotel-mcp --transport http --host 0.0.0.0 \\\n  --allowed-hosts autotel.example.com\n```\n\n`--allowed-origins` is the browser half, and takes the origins your clients run\non rather than your own hostname; a non-browser client sends no `Origin` and\nalways passes.\n\nNaming hosts **replaces** the localhost default rather than adding to it, so\n`localhost` and `127.0.0.1` stop answering unless you name them too. Add them\nwhen a health check or a local client still needs in:\n\n```bash\nautotel-mcp --transport http --host 0.0.0.0 \\\n  --allowed-hosts autotel.example.com,localhost,127.0.0.1\n```\n\nBoth flags take **hostnames** — `app.example.com`, not `https://app.example.com`.\nEach guard parses the hostname out of the header it checks and compares that, so\nan entry carrying a scheme or port could never match one; such an entry is\nrefused at startup rather than turning into a 403 nobody can trace. Neither\nguard checks the scheme or the port, which is why neither is quietly stripped\nfor you.\n\nNeither flag adds authentication — this server has none, so put it behind\nsomething that does.\n\nThen configure your MCP client with:\n\n```json\n{\n  \"mcpServers\": {\n    \"autotel\": {\n      \"url\": \"http://localhost:3000/mcp\"\n    }\n  }\n}\n```\n\n## Protocol\n\nSpeaks MCP `2026-07-28` — no `initialize` handshake, no session header,\n`server/discover` for capability discovery, and cacheable list results. 2025-era\nclients are served from the same tool definitions through the SDK's stateless\nlegacy path, so existing MCP clients keep working unchanged.\n\nThe HTTP+SSE transport is gone. It has been deprecated since `2025-03-26` and is\nscheduled for removal; `--transport http` is Streamable HTTP, which serves both\neras from one endpoint.\n\nEvery tool here reads telemetry and nothing else, and is registered with\n`readOnlyHint` / `idempotentHint` annotations to say so — a client that honours\nthem can run an investigation without stopping to ask about each query.\n\n## Tools\n\n41 tools organized by investigation workflow.\n\n<details>\n<summary><b>Discovery (5)</b></summary>\n\n- **list_services**: Services with span counts and error rates\n- **list_operations**: Operations for a service, ranked by traffic\n- **backend_health**: Backend reachability and ingestion status\n- **backend_capabilities**: Signal support and query features\n- **list_capabilities**: Full server manifest\n\n</details>\n\n<details>\n<summary><b>Trace Investigation (4)</b></summary>\n\n- **search_traces**: Find traces by service, operation, status, duration, tags, time window\n- **search_spans**: Span-level search across traces\n- **get_trace**: Full trace detail by ID\n- **summarize_trace**: Compact summary: span tree, errors, critical path, duration breakdown\n\n</details>\n\n<details>\n<summary><b>Diagnosis (4)</b></summary>\n\n- **find_anomalies**: Scan for statistical outliers: latency spikes, error rate jumps\n- **find_root_cause**: Walk a trace span tree to identify the bottleneck span\n- **find_errors**: Aggregate error spans grouped by service and operation\n- **list_issues**: Failures (thrown and handled exceptions, HTTP 5xx, error logs, log floods, runaway alarms) grouped into issues with status, count, first/last seen, trend, regression, versions and affected users/accounts/sessions\n- **get_issue**: One issue's stack trace, latest trace and its logs, and the service logs around it: the context to hand a coding agent\n- **check_slos**: Report SLO violations given p99 latency and error rate targets\n\n</details>\n\n<details>\n<summary><b>Topology (2)</b></summary>\n\n- **service_map**: Dependency graph with call counts, error rates, latency percentiles\n- **list_services** / **list_operations**: Service and operation discovery\n\n</details>\n\n<details>\n<summary><b>LLM Analytics (6)</b></summary>\n\n- **get_llm_usage**: Token usage by model and service\n- **list_llm_models**: Models in use with request counts\n- **get_llm_model_stats**: Latency/token/error percentiles per model\n- **get_llm_expensive_traces**: Top traces by token count\n- **get_llm_slow_traces**: Slowest LLM traces\n- **list_llm_tools**: Tool/function call usage by name\n\n</details>\n\n<details>\n<summary><b>Signals (3)</b></summary>\n\n- **list_metrics**: Available metric series\n- **get_metric_series**: Time-series data for a metric\n- **search_logs**: Log search by severity, service, trace ID, text\n\n</details>\n\n<details>\n<summary><b>Cross-Signal Correlation (2)</b></summary>\n\n- **correlate**: Given a trace ID: return trace + metrics from involved services + correlated logs\n- **explain_slowdown**: Combines anomaly detection with cross-signal correlation\n\n</details>\n\n<details>\n<summary><b>Collector Config (3)</b></summary>\n\n- **validate_collector_config**: Validate OTLP receiver config fragment\n- **explain_collector_config**: Explain config shape and defaults\n- **suggest_collector_config**: Generate minimal config\n\n</details>\n\n<details>\n<summary><b>Instrumentation Quality (2)</b></summary>\n\n- **score_span_instrumentation**: Quality score 0-100 with A-F grade\n- **explain_instrumentation_score**: Scoring rubric details\n\n</details>\n\n## Resources\n\nMCP resources give agents context without burning tool calls:\n\n| URI                              | Content                                           |\n| -------------------------------- | ------------------------------------------------- |\n| `otel://capabilities`            | Server manifest: transports, tool groups, signals |\n| `otel://tool-catalog`            | All tools with descriptions and workflow hints    |\n| `otel://backend/capabilities`    | Active backend's signal support                   |\n| `otel://collector/config`        | OTLP receiver config guidance                     |\n| `otel://instrumentation/scoring` | Scoring rubric explanation                        |\n\n## License\n\nApache-2.0\n","readmeFilename":""}