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Debugging an MCP failure requires more than saving the final error message: a tool can return a model-visible error, the protocol call can fail, the server can crash, or a Sanity webhook can be retried downstream. A useful evidence pipeline records those paths separately and correlates them with timestamps and request or transaction identifiers. The exact schema and retention rules are implementation choices; the steps below describe a practical design, not a report of a particular system I built.
What an MCP evidence pipeline needs to show
For each operation, an operator should be able to determine what was attempted, which component handled it, where it failed, and what result reached the caller. Keep the evidence for an operation together under a correlation ID, while distinguishing identifiers generated by your own pipeline from identifiers supplied by Sanity or the MCP implementation.
- Operation context: timestamp, operation category, MCP client and server, SDK version, protocol revision, and transport.
- Correlation: a pipeline-generated correlation ID plus any relevant MCP request ID or Sanity transaction and webhook identifiers.
- Outcome: the final tool result or error category, with sanitized inputs and outputs where they are necessary to diagnose the issue.
- Webhook handling: delivery metadata, deduplication outcome, and processing status.
This is a recommended evidence model, not a schema mandated by Sanity or the MCP SDKs. Decide what to redact and how long to retain records based on the sensitivity of your content and operational requirements.
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Separate the failure layers
The MCP Python SDK error-handling guidance distinguishes a tool error returned as a result from a protocol-level error and an unexpected exception treated as a server crash. That distinction is useful for debugging, but it is Python SDK guidance—not a guarantee that every SDK, version, or transport behaves identically. See the MCP Python SDK error-handling documentation.
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| Failure category | What the evidence should tell you | How to interpret it |
|---|---|---|
| Tool error | Which tool ran, sanitized arguments, the returned error result, and whether the caller received it. | The Python SDK describes this as a model-visible tool failure. Its guidance favors this path when the model could correct its arguments or action. |
| Protocol error | The failed call, protocol error details, and associated request or correlation ID. | The Python SDK distinguishes this from a tool result: the call itself fails at the protocol level. Its guidance recommends this route when the problem is not one the model could correct through a different action. |
| Unexpected server exception | The operation context and a protected link or reference to server-side traceback logs. | The Python SDK treats an unexpected exception as a crash and documents traceback logging on the server. Avoid copying sensitive traceback data into model-visible output. |
| Transport or connection failure | Transport, time, endpoint or connection context, and whether a request or response was observed. | Track this separately in your implementation: a connection problem may prevent a normal tool result or protocol response from being recorded. The cited error-handling page does not prescribe a universal transport-failure schema. |
| Sanity webhook delivery or processing failure | Sanity event headers, receipt time, deduplication decision, processing status, and any downstream error. | A webhook event is a downstream delivery path; do not mislabel a retry or receiver failure as an MCP tool error. |
Keep the raw diagnostic detail available to authorized operators, but give the model only the information needed to recover. Whether a tool error is recoverable is a decision about the particular operation, not a reason to collapse every failure into one generic message.
Trace Sanity webhook events without double-processing them
Sanity documents outgoing webhook delivery as at least once, so receivers may see a repeated delivery. Use the supplied idempotency-key to suppress duplicate processing, and record the key and the deduplication decision with the event. Sanity documents headers for transaction ID and time, dataset, document, project, webhook, and operation; preserve the relevant values to connect an event to the work that followed. See Sanity’s GROQ-powered webhooks documentation.
Useful event metadata
idempotency-keyfor duplicate suppression.sanity-transaction-idandsanity-transaction-timeto associate the event with a Sanity transaction.sanity-dataset,sanity-document-id, andsanity-project-idto identify the affected content context.sanity-webhook-idandsanity-operationto identify the webhook and event operation.
Sanity also notes that webhook concurrency is limited to one request and that frequent document updates can generate many triggers. Choose webhook selections carefully, keep receiver work bounded, and avoid letting repeated updates create unnecessary downstream work.
One event’s evidence trail
- On receipt, record the delivery time and relevant Sanity headers, including the idempotency key.
- Check whether that key has already been processed. If so, record the duplicate outcome and do not repeat the side effect.
- For a new event, associate it with a pipeline correlation ID and record the processing start.
- If processing invokes an MCP tool, record the tool operation and its result or failure category under that correlation ID.
- Record the final receiver status so an operator can distinguish an event that was received, deduplicated, processed, or failed.
This flow is a design example, not a claim about a specific deployed pipeline. The exact storage format, retry policy, and retention period depend on the receiver.
Choose the Sanity MCP surface that matches the work
Sanity documents a hosted MCP server at mcp.sanity.io for project and content operations. Its documentation describes OAuth as the default authentication method and API-token authentication as an alternative; token permissions follow the token’s role and scope. Documented capabilities include GROQ queries, content operations, project management, and migration assistance. Confirm the current setup instructions and available tools for your client before relying on a particular capability.
Do not confuse that server with Sanity Context MCP. Sanity documents Context MCP as a structured, read-only interface to content permitted by its configuration; its reference points to the Sanity MCP server for an MCP-based write path. If the workflow only reads content, identify the endpoint and permissions used. If it writes, identify the write-capable surface rather than implying the read-only context service can perform mutations. See the Sanity Context MCP reference.
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Use logging and tracing that fit the deployed SDK
Logging guidance depends on SDK, transport, and protocol revision. The TypeScript SDK v2 logging page says protocol-level MCP logging is deprecated in specification revision 2026-07-28, and recommends stderr for stdio servers or OpenTelemetry. The TypeScript SDK v2 logging, progress, and cancellation documentation describes that guidance.
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The Python SDK logging documentation distinguishes logs from spans and describes SDK message tracing through OpenTelemetry. Review the Python SDK logging documentation for the behavior relevant to the deployed version.
Before configuring instrumentation, record the SDK version, protocol revision, and transport in use. Do not assume that a logging mechanism documented for TypeScript SDK v2 applies unchanged to a Python server or another transport. Use logs for discrete diagnostic events and spans when you need to follow work across components; avoid treating either as a substitute for preserving webhook idempotency and correlation metadata.
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Logs can contain document content, credentials, or user-supplied values. Store only the payload detail needed to diagnose failures, redact secrets before persistence, restrict access to sensitive traces, and set a retention period that fits the data. These controls are system-design decisions rather than requirements specified by the cited Sanity or SDK pages.
- Keep operator diagnostics separate from model-visible tool output.
- Prefer stable identifiers and error categories over copying entire content documents into logs.
- Preserve enough context to distinguish a repeated webhook from a new transaction.
- Verify that redaction does not remove the identifiers needed to correlate the event and downstream operation.
- Test tool errors, protocol errors, unexpected exceptions, connection loss, and duplicate webhook delivery as separate cases.
What a trace should let an operator answer
A useful record should make it possible to identify the component and operation involved, locate the relevant MCP or Sanity correlation values, determine whether the failure was a tool result, protocol error, crash, transport issue, or webhook-processing problem, and see whether a webhook was intentionally deduplicated. If those answers require combining unrelated records with no shared identifiers, improve correlation before adding more log volume.
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