MCP CLI Usage

This page documents how to discover and validate Machine Capability Protocol (MCP) capabilities locally using the consolidated mcp-cli binary.

Build

The standard make build target now produces target/build/bin/mcp-cli.

List Capabilities

make mcp_list

Outputs: id\tdomain\tmaturity.

Include schema paths:

make mcp_schemas

Outputs: id\tdomain\tmaturity\tinputSchema\toutputSchema.

Validate Input Against Schema

Provide a JSON file (or pipe via stdin) and run:

make mcp_validate CAP=prometheus.query_assistant FILE=./examples/prom-query.json

If validation passes you see INPUT OK (schema validated).

Contract Test (CI Ready)

A lightweight contract test target asserts that each capability schema rejects an empty object (ensuring required fields are enforced) and that schemas are reachable:

make mcp_contract_test

Failure indicates either a schema not found or overly-permissive schema.

Direct Invocation Examples

Validate only:

./target/build/bin/mcp-cli -cap perf.benchmark_trend_analyzer -in bench_payload.json -validate

Execute stub (echo metadata):

./target/build/bin/mcp-cli -cap tracing.trace_summarizer -in trace_sample.json

Provide input via stdin:

cat trace_sample.json | ./target/build/bin/mcp-cli -cap tracing.trace_summarizer

Exit Codes

  • 0: Success / validation passed.
  • 1: Any error (schema violation, manifest parse failure, missing capability, IO issue).

Adding New Capabilities

  1. Add input/output JSON Schemas under mcp/schemas/{input,output}.
  2. Append new capability block to mcp/manifest.yaml (keep sorted by domain).
  3. Run make build && make mcp_validate CAP=<new.id> FILE=example.json.
  4. Update GitBook docs (this page or related tutorials) if needed.

Future Enhancements

  • Rich YAML parsing (replace minimal fallback with full parser).
  • Automatic example payload generation from schema.
  • Real handler dispatch mapping ID -> implementation.
  • CI job publishing rendered API reference from schemas.

This CLI ensures MCP specs are executable and contract-tested, enabling automated integration and regression detection across the observability and performance lifecycle.

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