# Rqmtechnologies Waveengine MCP server

Source: https://glimind.com/server/mcp-registry%2Fcom.rqmtechnologies%2Fwaveengine
Registry id: `mcp-registry/com.rqmtechnologies/waveengine`
Status: live (checked 2026-10-27T04:09:10.515Z)

## Measurements (30 days)

- Uptime: 99.86%
- Checks: 5010
- Outages (90 days): 62

## Install

```json
{
  "mcpServers": {
    "rqmtechnologies-waveengine-mcp-server": {
      "type": "http",
      "url": "https://jobs.rqmtechnologies.com/mcp/waveengine"
    }
  }
}
```

Claude Code:

```sh
claude mcp add --transport http rqmtechnologies-waveengine-mcp-server https://jobs.rqmtechnologies.com/mcp/waveengine
```

## Tools (34)

- `estimate_wave_job`: Validate a bounded request against the live catalog and return a non-binding price and duration estimate without authentication.
- `get_wave_capability`: Return one full approved public Wave capability descriptor.
- `get_wave_example`: Return one realistic illustrative request/result shape, artifact list, expected duration, and price guard.
- `get_wave_job_artifact`: Retrieve one principal-scoped bounded Wave result artifact.
- `get_wave_job_result`: Read one completed and already-settled product result.
- `get_wave_job_status`: Read one authorized Wave or Studio managed-simulator job.
- `get_wave_receipt`: Retrieve the durable Account Core receipt for one settled WaveEngine reservation.
- `list_buyer_jobs`: Return complete agent discovery contracts and readiness for the exact 20/20/20 RQM specialist work portfolio.
- `list_wave_capabilities`: Describe the preserved v0/v1 surface or the dynamic v2/v3 Wave catalog.
- `run_buyer_job`: Quote, settle, and submit one allowlisted WaveEngine, Studio, or Robotics buyer job using x402.
- `run_wave_example`: Execute the catalog-owned bounded example through the real typed WaveEngine adapter without accepting arbitrary input.
- `run_wave_job`: Pay anonymously with x402 by default, or explicitly use an authenticated Account Core balance, then submit one idempotent WaveEngine job.
- `search_buyer_jobs`: Select RQM buyer jobs from work-language requests using deterministic semantic scoring over instructions, examples, outputs, and next steps.
- `search_wave_capabilities`: Deterministically rank executable WaveEngine capabilities for a natural-language task and bounded filters.
- `wave_apply_verified_phase_correction_v1`: Problem: Apply this bounded phase correction and verify the supplied preservation assertions. Input: JSON with sample rate hz, channels, angle radians, assertio
- `wave_compare_pipeline_responses_v1`: Problem: Compare these two supported Wave pipelines on the supplied fixture and caller tolerances. Input: JSON with left pipeline, right pipeline, fixture, maxi
- `wave_compare_waveform_captures_v1`: Problem: Compare these two bounded waveforms against the supplied alignment and numeric rules. Input: JSON with sample rate hz, channels, reference channel id, 
- `wave_compile_curated_processing_recipe_v1`: Problem: Compile this curated processing recipe and return its validated pipeline and execution trace. Input: JSON with fixture, maximum round trip rmse. Result
- `wave_convert_capture_to_spectrum_v1`: Problem: Convert this bounded complex capture into a checksummed spectral artifact with declared normalization. Input: JSON with sample rate hz, channel, normal
- `wave_diagnose_multichannel_capture_v1`: Problem: Diagnose this coordinated complex capture for bounded Wave-Intelligence degradation findings without inferring a physical cause. Input: JSON with sampl
- `wave_equalize_pilot_capture_v1`: Problem: Fit a bounded quaternion NLMS equalizer to this received and desired pilot capture. Input: JSON with input channels, output channels, received, desired
- `wave_extract_wave_features_v1`: Problem: Convert this coordinated complex capture into the deterministic versioned Wave-Intelligence feature vector. Input: JSON with sample rate hz, channels. 
- `wave_fit_coupled_channel_model_v1`: Problem: Fit a bounded structured quaternion ridge model to these coupled channel features and targets. Input: JSON with feature count, output count, features, 
- `wave_gate_signal_capture_v1`: Problem: Accept or reject this bounded signal capture against the caller-supplied metric rules and return every measurement and violation. Input: JSON with samp
- `wave_generate_validated_signal_fixture_v1`: Problem: Generate this bounded sine or safe-formula signal fixture and return reproducibility, measurement, checksum, and validation evidence. Input: JSON with 
- `wave_measure_phase_drift_v1`: Problem: Measure phase drift in this bounded complex observation against the supplied reference and tolerances. Input: JSON with reference, observation, maximum
- `wave_optimize_processing_pipeline_v1`: Problem: Optimize this supported Wave pipeline against the supplied operation-count objective and equivalence rule. Input: JSON with operations, fixture, object
- `wave_reconstruct_bounded_capture_v1`: Problem: Reconstruct this bounded capture under the supplied transfer assumption and verify it against the reference rules. Input: JSON with observation, refere
- `wave_reconstruct_time_domain_signal_v1`: Problem: Convert these bounded frequency bins into time-domain samples and verify the caller's round-trip rule. Input: JSON with sample rate hz, frequency bins,
- `wave_rotate_and_validate_two_channel_frame_v1`: Problem: Rotate these two coordinated complex channels with the supplied rotor and validate caller invariants. Input: JSON with channels, rotor, rules. Result: 
- `wave_transport_polarization_frame_v1`: Problem: Transform these Jones vectors or channel operators between the explicitly named SU(2) frames and verify invariants. Input: JSON with mode, rotor. Resul
- `wave_validate_reconstruction_quality_v1`: Problem: Compare this reconstruction with the supplied reference and acceptance rules. Input: JSON with reference, reconstruction, rules. Result: reconstruction
- `wave_validate_spectral_criteria_v1`: Problem: Accept or reject this bounded capture against the caller's supplied spectral criteria. Input: JSON with sample rate hz, channel, normalization, rules. 
- `wave_verify_wave_pipeline_v1`: Problem: Execute and verify this bounded Wave IR pipeline against the required representation, shape, and optional round-trip assertions. Input: JSON with sampl

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.
