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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-instrumentation#readme","keywords":["opentelemetry","otel","mcp","model-context-protocol","distributed-tracing","observability","instrumentation","w3c-trace-context"],"repository":{"url":"https://github.com/jagreehal/autotel","type":"git","directory":"packages/autotel-mcp-instrumentation"},"description":"OpenTelemetry instrumentation for Model Context Protocol (MCP) with distributed tracing support","maintainers":[{"name":"jagreehal","email":"jag.reehal@gmail.com"}],"readme":"# autotel-mcp-instrumentation\n\nOpenTelemetry instrumentation for [Model Context Protocol (MCP)](https://modelcontextprotocol.io/) with automatic distributed tracing.\n\nAutomatically instrument MCP servers and clients with OpenTelemetry tracing. Uses W3C Trace Context propagation via the `_meta` field to enable distributed tracing across MCP boundaries.\n\n## Features\n\n- **Automatic instrumentation** - One function call to instrument all tools, resources, and prompts\n- **Distributed tracing** - W3C Trace Context propagation via `_meta` field\n- **Transport-agnostic** - Works with stdio, HTTP, SSE, or any MCP transport\n- **Node.js runtime** - Full support for Node.js applications with `autotel`\n- **Tree-shakeable** - Import only what you need (~7KB total, 2-5KB per module)\n- **Zero MCP modifications** - Uses Proxy pattern, no changes to MCP SDK required\n- **Security observability** - Annotation hints, payload-size & character-budget signals, a pluggable prompt-injection classifier, and spotlighting helpers: the protocol-boundary half of the agentic-web defense-in-depth model ([see below](#security-observability))\n\n## Installation\n\n```bash\nnpm install autotel-mcp-instrumentation @modelcontextprotocol/server @modelcontextprotocol/client autotel\n```\n\n**Both MCP eras are supported from one call.** The v2 SDK\n(`@modelcontextprotocol/server` / `@modelcontextprotocol/client`, protocol\n`2026-07-28`) and the v1 `@modelcontextprotocol/sdk` (2025-era, still what most\nshipped MCP clients use) are all optional peers — install whichever you build\nagainst. Nothing is imported at runtime: the wrappers are duck-typed Proxies,\nso era differences are read off each request rather than compiled in.\n\n## Quick Start\n\n### Server-Side Instrumentation\n\nOn `2026-07-28` there is no handshake and no session, so a server instance holds\nnothing between requests: the SDK builds one per request from a factory.\nInstrument inside that factory. (On the v1 SDK you hold a single `Server` and\ninstrument it once — same call, same attributes.)\n\n```typescript\nimport { createMcpHandler, McpServer } from '@modelcontextprotocol/server';\nimport { instrumentMcpServer } from 'autotel-mcp-instrumentation/server';\nimport { init } from 'autotel';\nimport { z } from 'zod';\n\n// Telemetry first: OpenTelemetry must be initialised before anything traced\n// is constructed.\ninit({\n  service: 'mcp-weather-server',\n  endpoint: 'http://localhost:4318',\n});\n\nfunction createServer() {\n  const server = new McpServer(\n    { name: 'weather', version: '1.0.0' },\n    { capabilities: { tools: {} } },\n  );\n\n  // Automatic tracing for all tools/resources/prompts registered below.\n  const traced = instrumentMcpServer(server, {\n    networkTransport: 'tcp',\n    captureToolArgs: true, // opt-in: arguments on the span\n    captureToolResults: false, // off by default: results may carry PII\n  });\n\n  traced.registerTool(\n    'get_weather',\n    {\n      title: 'Get weather',\n      description: 'Get current weather for a location',\n      inputSchema: z.object({ location: z.string() }),\n      annotations: { readOnlyHint: true },\n    },\n    async ({ location }) => {\n      // Traced, and parented to the caller's span via ctx.mcpReq._meta.\n      const weather = await fetchWeather(location);\n      return {\n        content: [\n          {\n            type: 'text',\n            text: `Temperature in ${location}: ${weather.temp}F`,\n          },\n        ],\n      };\n    },\n  );\n\n  return traced;\n}\n\nexport default createMcpHandler(createServer);\n```\n\n### Client-Side Instrumentation\n\n```typescript\nimport {\n  Client,\n  StreamableHTTPClientTransport,\n} from '@modelcontextprotocol/client';\nimport { instrumentMcpClient } from 'autotel-mcp-instrumentation/client';\nimport { init } from 'autotel';\n\ninit({\n  service: 'mcp-weather-client',\n  endpoint: 'http://localhost:4318',\n});\n\nconst client = new Client({ name: 'weather-client', version: '1.0.0' });\n\n// Instrument the client (automatic trace context injection)\nconst traced = instrumentMcpClient(client, {\n  networkTransport: 'tcp',\n  captureToolArgs: true,\n});\n\nawait client.connect(new StreamableHTTPClientTransport(new URL(MCP_URL)));\n\n// Tool calls create a span and inject _meta with traceparent/tracestate/baggage\nconst result = await traced.callTool({\n  name: 'get_weather',\n  arguments: { location: 'New York' },\n});\n```\n\n## Protocol eras\n\nMCP `2026-07-28` dropped the `initialize`/`initialized` handshake (SEP-2575) and\nthe `Mcp-Session-Id` header (SEP-2567). Every request is self-describing, so any\nrequest can land on any instance behind a plain round-robin balancer. Instrument\nthe same way for either era — the differences below are handled for you.\n\n**Propagation got easier, not harder.** `traceparent` always rode in `_meta`,\nnever in the session or the transport. `2026-07-28` makes `_meta` the mandatory\nper-request envelope, so there is now always somewhere for it to ride, and no\nsession for a trace to be orphaned from.\n\n**Where `_meta` lives.** Neither era puts it in the handler's first argument:\nboth SDKs validate `arguments` and hand the request metadata over on the context\nargument. v2 nests it at `ctx.mcpReq._meta`; v1 has it at `extra._meta`. This\npackage finds the context by shape, so it also works for resource handlers,\nwhich are `(uri, ctx)` or `(uri, variables, ctx)`.\n\n| Signal                 | 2026-07-28                                                                   | 2025-era                                                                                      |\n| ---------------------- | ---------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------- |\n| `mcp.protocol.version` | per-request, from the `io.modelcontextprotocol/protocolVersion` envelope key | not set (fixed at `initialize`)                                                               |\n| `mcp.session.id`       | not set — there are no sessions                                              | from `extra.sessionId` (server) or the transport (client), falling back to `config.sessionId` |\n| `server/discover`      | traced as a discovery operation                                              | n/a — `initialize` instead                                                                    |\n| `mcp.input_required`   | set when a handler returns `inputRequired(...)`                              | n/a — elicitation is push-style                                                               |\n\nBoth come off the request rather than from config, so one instrumented server\nanswers many callers correctly, and neither can go stale across a reconnect.\n\n**Multi-round-trip pauses are visible.** A `2026-07-28` handler that returns\n`inputRequired(...)` instead of a result gets `mcp.input_required=true` on the\nspan and on the duration metric, and its span status is left UNSET rather than\nOK. So \"asked the user a question\" neither lands in the same latency bucket as\n\"did the work\" nor counts as a success, and the client's retry does not read as\na duplicate call. The key is deliberately not under `mcp.tool.*`: `prompts/get`\nand `resources/read` can pause too.\n\nThe `mcp.*.session.duration` metrics are gone: they have nothing left to measure\non the current revision.\n\n## API Reference\n\n### Server Instrumentation\n\n#### `instrumentMcpServer(server, config?)`\n\nWraps an MCP server to automatically trace all registered tools, resources, and\nprompts. Call it on each instance your factory builds.\n\n**Parameters:**\n\n- `server` - `McpServer` instance\n- `config` - Optional instrumentation configuration\n\n**Returns:** Instrumented server (Proxy)\n\n**Configuration Options:**\n\n```typescript\ninterface McpInstrumentationConfig {\n  captureToolArgs?: boolean; // Arguments as gen_ai.tool.call.arguments (default: false)\n  captureToolResults?: boolean; // Results - may contain PII (default: false)\n  captureErrors?: boolean; // Errors and exceptions (default: true)\n  enableMetrics?: boolean; // Operation-duration histograms (default: true)\n  captureDiscoveryOperations?: boolean; // tools/list, server/discover, ... (default: true)\n  // Read per request in preference to this, so it stays correct on a server\n  // handling many callers. Set it only for legacy stdio, whose transport has\n  // no session at all. Modern requests ignore it because they are sessionless.\n  sessionId?: string;\n  networkTransport?: 'pipe' | 'tcp' | string; // network.transport\n  customAttributes?: (context) => Attributes; // Custom span attributes\n  // ...plus the security options documented below\n}\n```\n\n**Span Attributes Set** (per the\n[OTel MCP semantic conventions](https://opentelemetry.io/docs/specs/semconv/gen-ai/mcp/)):\n\n- `mcp.method.name` - `tools/call`, `resources/read`, `prompts/get`\n- `gen_ai.tool.name` / `gen_ai.prompt.name` / `mcp.resource.uri` - the entity\n- `gen_ai.operation.name` - `execute_tool` on tool spans\n- `mcp.protocol.version` - the revision this request declared (2026-07-28)\n- `mcp.session.id` - the connection's session (2025-era only)\n- `error.type` - `tool_error` when the result carries `isError`\n- `mcp.input_required` - the call paused for input instead of completing (span\n  status is left UNSET, since a pause is neither success nor failure)\n- `gen_ai.tool.call.arguments` / `gen_ai.tool.call.result` - opt-in only\n\n#### `traceMcpHandler(handler, options)`\n\nTraces one handler with the spans, attributes and metrics `instrumentMcpServer`\nproduces. Use it in a framework that exposes a request hook in place of the\nSDK's `register*` methods. [`autotel-skybridge`](../autotel-skybridge) builds\nits middleware on it.\n\n```typescript\nimport { traceMcpHandler } from 'autotel-mcp-instrumentation';\n\nconst traced = traceMcpHandler(() => next(), {\n  type: 'tool', // 'tool' | 'resource' | 'prompt'\n  name: 'search',\n  config: { captureToolArgs: true },\n});\n\nawait traced(args, ctx); // ctx: the request context, so `_meta` parents the span\n```\n\nThe wrapper returns a Promise, whether `handler` is sync or async. A resource\nURI goes on the span and stays off the duration metric, since a request hook\ncannot tell a template expansion from a fixed URI.\n\n### Client Instrumentation\n\n#### `instrumentMcpClient(client, config?)`\n\nWraps an MCP client to create spans and inject trace context into every request.\n\n**Parameters:**\n\n- `client` - `Client` instance\n- `config` - Optional instrumentation configuration\n\n**Returns:** Instrumented client (Proxy)\n\n**Traced methods:** `callTool`, `readResource`, `getPrompt`, and (when\n`captureDiscoveryOperations` is on) `listTools`, `listResources`, `listPrompts`,\n`ping`, `discover`.\n\nClient spans carry the same attributes as server spans, with `SpanKind.CLIENT`.\n\n**Hosted servers.** When the server runs inside a request that is already traced in the caller's trace (a Lambda invocation, an HTTP server span), tool, resource and prompt spans parent on that host span: caller → host → tool. Baggage from `_meta` still applies. With no host span, or a host in another trace, the `_meta` context is the parent.\n\n### Context Utilities\n\n#### `extractOtelContextFromMeta(meta?)`\n\nExtract OpenTelemetry context from MCP `_meta`.\n\n```typescript\nimport { extractOtelContextFromMeta } from 'autotel-mcp-instrumentation/context';\nimport { context } from '@opentelemetry/api';\n\nconst handler = async (args, ctx) => {\n  const parentContext = extractOtelContextFromMeta(ctx.mcpReq._meta);\n  return context.with(parentContext, async () => {\n    // Your traced code with parent context\n  });\n};\n```\n\n#### `injectOtelContextToMeta(ctx?)`\n\nInject OpenTelemetry context into MCP `_meta`.\n\n```typescript\nimport { injectOtelContextToMeta } from 'autotel-mcp-instrumentation/context';\n\nconst meta = injectOtelContextToMeta();\n// Returns: { traceparent, tracestate, baggage }\n\nawait client.callTool({\n  name: 'my_tool',\n  arguments: { arg1: 'value' },\n  _meta: meta,\n});\n```\n\n#### `activateTraceContext(meta?)`\n\nExtract and immediately activate trace context from `_meta`.\n\n```typescript\nimport { activateTraceContext } from 'autotel-mcp-instrumentation/context';\nimport { context } from '@opentelemetry/api';\n\nconst traceCtx = activateTraceContext(serverCtx.mcpReq._meta);\nreturn context.with(traceCtx, () => {\n  // Traced code with parent context active\n});\n```\n\n## How It Works\n\n### W3C Trace Context Propagation\n\nMCP requests can include a `_meta` field for metadata. `autotel-mcp-instrumentation` uses this field to propagate W3C Trace Context headers across client-server boundaries:\n\n```\n┌─────────────┐                    ┌─────────────┐\n│ MCP Client  │                    │ MCP Server  │\n│             │                    │             │\n│  Span A     │──── callTool ────▶│  Span B     │\n│             │    { args,         │             │\n│             │      _meta: {      │ (parent: A) │\n│             │        traceparent │             │\n│             │        tracestate  │             │\n│             │        baggage }}  │             │\n└─────────────┘                    └─────────────┘\n\nDistributed Trace:\n  Span A (client) → Span B (server, child of A)\n```\n\n**Client Side:**\n\n1. Creates span for tool call\n2. Injects W3C trace context into `_meta` field\n3. Sends request with `_meta`\n\n**Server Side:**\n\n1. Receives request with `_meta` field\n2. Extracts parent trace context\n3. Creates child span with parent context\n4. Executes tool handler\n\n### Transport Agnostic\n\nBecause context is in the JSON payload itself (not HTTP headers), this works with **any** MCP transport:\n\n- stdio (standard input/output)\n- HTTP/SSE (server-sent events)\n- WebSocket\n- Custom transports\n\n## Runtime Support\n\n```typescript\nimport { instrumentMcpServer } from 'autotel-mcp-instrumentation/server';\nimport { init } from 'autotel';\n\ninit({ service: 'my-mcp-server', endpoint: 'http://localhost:4318' });\nconst instrumented = instrumentMcpServer(server);\n```\n\n## Bundle Size\n\n- **Core context utilities**: ~2KB\n- **Server instrumentation**: ~3KB\n- **Client instrumentation**: ~2KB\n- **Total (all modules)**: ~7KB\n\nTree-shakeable - import only what you need:\n\n```typescript\n// Import just server instrumentation (~5KB)\nimport { instrumentMcpServer } from 'autotel-mcp-instrumentation/server';\n\n// Import just client instrumentation (~4KB)\nimport { instrumentMcpClient } from 'autotel-mcp-instrumentation/client';\n\n// Import just context utilities (~2KB)\nimport {\n  extractOtelContextFromMeta,\n  injectOtelContextToMeta,\n} from 'autotel-mcp-instrumentation/context';\n```\n\n## Custom Attributes\n\nAdd custom span attributes based on your application logic:\n\n```typescript\nconst instrumented = instrumentMcpServer(server, {\n  customAttributes: ({ type, name, args, result }) => {\n    const attrs: Attributes = {};\n\n    // Add tenant ID from arguments\n    if (args?.tenantId) {\n      attrs['tenant.id'] = args.tenantId;\n    }\n\n    // Add result metadata\n    if (result?.metadata) {\n      attrs['result.metadata'] = JSON.stringify(result.metadata);\n    }\n\n    // Add operation-specific attributes\n    if (type === 'tool' && name === 'search') {\n      attrs['search.query'] = args?.query;\n      attrs['search.results.count'] = result?.items?.length ?? 0;\n    }\n\n    return attrs;\n  },\n});\n```\n\n## Security Observability\n\nMCP is where untrusted data crosses into your agent. The\n[agentic-web threat model](https://developer.chrome.com/docs/agents/security)\nhas two vectors: **malicious manifests** (hidden instructions in a tool's\nname/description/annotations) and **contaminated outputs** (injection smuggled\ninside otherwise-legitimate tool results). Detecting these in production is an\n_observability_ problem. And this package makes it observable at the MCP edge.\n\n> **Where this fits.** Deterministic kill-switches (cost/token/tool-call\n> ceilings, loop detection) live in\n> [`autotel-genai/guard`](../autotel-genai); identity/scope/policy lives in\n> [`autotel-genai/agent`](../autotel-genai). This package **observes and\n> signals** at the protocol boundary so those layers: and your backend's\n> alerting: have the data they need. It does not replace your agent runtime's\n> guardrails.\n\n### What you get for free\n\nWith no extra config, every instrumented tool span now carries:\n\n- **Annotation hints** → `mcp.tool.read_only`, `mcp.tool.destructive`,\n  `mcp.tool.idempotent`, `mcp.tool.open_world`, `mcp.tool.untrusted_content`\n  (read off the tool's `annotations` block).\n- **Payload sizes** → `mcp.tool.arguments.size` / `mcp.tool.result.size` (sizes\n  only. No content). A tool whose output suddenly balloons is a classic\n  injection / token-exhaustion tell.\n\n```typescript\ninstrumentMcpServer(server); // annotation hints + payload sizes are on by default\n\nserver.registerTool(\n  'search_web',\n  {\n    description: 'Search the web',\n    annotations: { openWorldHint: true, untrustedContentHint: true },\n  },\n  async (args) => {\n    /* ... */\n  },\n);\n```\n\n### Detect prompt injection with a classifier\n\nPlug in [Model Armor](https://cloud.google.com/security/products/model-armor),\n[Promptfoo](https://www.promptfoo.dev/), an LLM critic, or the built-in\nheuristic detector. It scans manifest text at registration time\n(name/description/parameter descriptions), then request/response payloads at\nruntime for tools, resources, and prompts, recording `mcp.security.*`\nattributes and emitting security events on non-clean verdicts. Classifier\nfailures never break the traced call.\n\n```typescript\nimport {\n  instrumentMcpServer,\n  heuristicInjectionClassifier,\n  MCP_CHAR_BUDGETS,\n} from 'autotel-mcp-instrumentation';\n\ninstrumentMcpServer(server, {\n  // First-pass heuristic, or supply your own (sync or async):\n  securityClassifier: heuristicInjectionClassifier(),\n  // Custom example:\n  // securityClassifier: async ({ source, text }) => {\n  //   const r = await modelArmor.scan(text);\n  //   return { verdict: r.malicious ? 'malicious' : 'clean', score: r.score };\n  // },\n\n  // Emit mcp.security.budget_exceeded when output overflows (WebMCP: 1500 chars):\n  outputCharBudget: MCP_CHAR_BUDGETS.TOOL_OUTPUT,\n});\n```\n\n> The built-in `heuristicInjectionClassifier()` is a cheap tripwire, not ground\n> truth: it produces false positives and misses novel attacks. Treat its signal\n> as input to a critic / Model Armor, not as a verdict.\n\n### Spotlight untrusted content before an LLM reads it\n\n[Spotlighting](https://arxiv.org/abs/2403.14720) demarcates untrusted data so a\nmodel treats it as data, not instructions.\n\n```typescript\nimport { spotlight } from 'autotel-mcp-instrumentation/security';\n\nconst safe = spotlight(userComment); // <untrusted>\\n…\\n</untrusted>\nconst robust = spotlight(userComment, { method: 'base64' }); // resists structural evasion\n```\n\n### Validate tool descriptions against WebMCP budgets\n\n```typescript\nimport { validateToolBudget } from 'autotel-mcp-instrumentation/security';\n\nconst violations = validateToolBudget({\n  name: 'search_web',\n  description: 'Search the web for…',\n  parameters: { query: { description: 'The search query' } },\n});\n// violations: [] when within the recommended 30/150/500-char limits\n```\n\n### Workers / edge\n\nThe `autotel-mcp-instrumentation/security` toolkit (classifier, `spotlight`,\n`validateToolBudget`, annotation/size/budget helpers) is **runtime-agnostic**.\nIt depends only on `@opentelemetry/api`, with a `Buffer`→`btoa` base64 fallback.\nSo it runs unchanged in Cloudflare Workers and other edge runtimes. Use it\ndirectly in an edge MCP server, or alongside `autotel-cloudflare`. The same\n`mcp.security.*` signals are emitted, so `autotel security mcp` queries work\nacross Node and Workers deployments.\n\n### Security signals reference\n\n| Signal                             | Where     | Meaning                                 |\n| ---------------------------------- | --------- | --------------------------------------- |\n| `mcp.tool.*` (hints)               | span attr | tool trust profile / manifest vector    |\n| `mcp.tool.{arguments,result}.size` | span attr | payload size (token-exhaustion tell)    |\n| `mcp.security.injection.*`         | span attr | classifier verdict / score / categories |\n| `mcp.security.injection_suspected` | event     | non-clean classifier verdict            |\n| `mcp.security.budget_exceeded`     | event     | output over `outputCharBudget`          |\n| `mcp.security.events`              | counter   | aggregate security-signal count         |\n\n## Security Considerations\n\n### PII in Arguments/Results\n\nBoth are opt-in, so nothing leaks unless you ask for it:\n\n```typescript\nconst instrumented = instrumentMcpServer(server, {\n  captureToolArgs: true, // May contain PII\n  captureToolResults: false, // Default - may contain sensitive data\n});\n```\n\nFor production:\n\n- Review what data is in tool arguments\n- Leave `captureToolArgs` off if arguments contain PII\n- Never enable `captureToolResults` in production unless you control the data\n\n### Custom PII Redaction\n\nUse `customAttributes` to redact PII:\n\n```typescript\nconst instrumented = instrumentMcpServer(server, {\n  captureToolArgs: false, // Keep raw arguments off the span\n  customAttributes: ({ args }) => {\n    // Manually redact PII before logging\n    return {\n      'tool.location': args?.location, // Safe to log\n      // Omit args.email, args.userId, etc.\n    };\n  },\n});\n```\n\n## Examples\n\nSee the `apps/` directory for complete working examples:\n\n- `apps/example-mcp-server` - Instrumented MCP server with stdio transport\n- `apps/example-mcp-client` - Instrumented MCP client calling the server\n\n## Integration with Observability Backends\n\nWorks with any OTLP-compatible backend:\n\n```typescript\nimport { init } from 'autotel';\n\n// Honeycomb\ninit({\n  service: 'mcp-server',\n  endpoint: 'https://api.honeycomb.io',\n  headers: { 'x-honeycomb-team': process.env.HONEYCOMB_API_KEY },\n});\n\n// Datadog\ninit({\n  service: 'mcp-server',\n  endpoint: 'https://http-intake.logs.datadoghq.com',\n  headers: { 'DD-API-KEY': process.env.DD_API_KEY },\n});\n```\n\n## License\n\nApache-2.0\n\n## Contributing\n\nIssues and PRs welcome at [github.com/jagreehal/autotel](https://github.com/jagreehal/autotel)\n","readmeFilename":""}