Understand how your MCP server performs.

0mcp Analytics turns operational metadata into a practical view of MCP usage and reliability. See which capabilities are called, how requests perform, where failures occur, and which signals deserve investigation.

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mcp-analytics
Monitoring

Operational view

Understand usage and reliability

01Filter the reporting window
02Review capability activity
03Investigate latency and errors

Server signals

Traffic without payload storage

Usage

MEASURED

Latency

ANALYZED

Status

TRACKED

Move from MCP traffic to actionable signals

Usage trends

Understand capability volume across the selected time range and identify changes in adoption.

Latency analysis

Review average, minimum, and maximum client latency to spot slow or inconsistent behavior.

Status and error visibility

Separate successful calls from failures and use operational details to guide investigation.

Source and revision context

Distinguish Playground activity from MCP client traffic and connect calls to server revisions.

Observability

See the server without storing customer payloads

Own every infrastructure detail, or start from your OpenAPI contract with a managed platform.

Fragmented monitoring

  • Join logs across clients and infrastructure
  • Guess which capabilities need attention
  • Retain payloads just to measure operations

0mcp Analytics

  • View MCP operational signals together
  • Filter usage, status, latency, and errors
  • Use metadata without payload storage by default

Questions MCP analytics can answer

01

Is the server reliable?

  • Track success and failure status
  • Review latency trends
  • Investigate error activity

02

What do clients use?

  • Measure capability calls
  • Compare usage sources
  • Find active and quiet tools

03

What changed?

  • Filter a time range
  • Connect activity to revisions
  • Compare operational patterns

FAQs

What does MCP server analytics track?

0mcp tracks operational signals such as capability usage, response status, latency, errors, invocation source, and revision context. These signals help teams understand adoption and reliability without reading every individual request.

Does 0mcp store API request and response bodies for analytics?

No. Proxied API request and response bodies are not stored by default. Operational metadata can be retained for monitoring, reliability, diagnostics, and metering according to the applicable plan and data-handling terms.

Can I distinguish Playground tests from client traffic?

Yes. Invocation source is part of the operational context, allowing teams to distinguish Playground activity from calls made through the MCP endpoint.

How should teams use MCP latency data?

Use latency trends to identify slow tools, upstream API regressions, and inconsistent response times. Treat the metric as an investigation signal, then confirm the cause in the upstream API and relevant operational logs.

See how your MCP server is used and where it needs attention.

Track capability usage, latency, status, and errors without making payload storage the default.

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