RQM WaveEngine Jobs

Connect it to your AI

Claude Code

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

Claude, ChatGPT, Cursor and other apps

Add it as a custom connector with this URL (Streamable HTTP):

https://jobs.rqmtechnologies.com/mcp/waveengine

Cursor, VS Code and other apps (mcp.json)

{
  "mcpServers": {
    "waveengine": {
      "url": "https://jobs.rqmtechnologies.com/mcp/waveengine"
    }
  }
}

Tools it offers

34 tools, as the server itself reported during our check on Oct 31, 2026.

• list_buyer_jobsReturn complete agent discovery contracts and readiness for the exact 20/20/20 RQM specialist work portfolio.
• search_buyer_jobsSelect RQM buyer jobs from work-language requests using deterministic semantic scoring over instructions, examples, outputs, and next steps.
• list_wave_capabilitiesDescribe the preserved v0/v1 surface or the dynamic v2/v3 Wave catalog.
• get_wave_capabilityReturn one full approved public Wave capability descriptor.
• run_buyer_jobQuote, settle, and submit one allowlisted WaveEngine, Studio, or Robotics buyer job using x402.
• wave_gate_signal_capture_v1Problem: Accept or reject this bounded signal capture against the caller-supplied metric rules and return every measurement and violation. Input: JSON with sample rate hz, channels, rules. Result: measurements, violation
• wave_diagnose_multichannel_capture_v1Problem: Diagnose this coordinated complex capture for bounded Wave-Intelligence degradation findings without inferring a physical cause. Input: JSON with sample rate hz, channels. Result: bounded capture findings and ar
• wave_measure_phase_drift_v1Problem: Measure phase drift in this bounded complex observation against the supplied reference and tolerances. Input: JSON with reference, observation, maximum absolute drift radians, maximum rms.... Result: phase drift
• wave_extract_wave_features_v1Problem: Convert this coordinated complex capture into the deterministic versioned Wave-Intelligence feature vector. Input: JSON with sample rate hz, channels. Result: versioned feature vector and artifacts. Limits: Boun
• wave_reconstruct_bounded_capture_v1Problem: Reconstruct this bounded capture under the supplied transfer assumption and verify it against the reference rules. Input: JSON with observation, reference, assumed transfer, maximum rmse, maximum.... Result: rec
• wave_equalize_pilot_capture_v1Problem: Fit a bounded quaternion NLMS equalizer to this received and desired pilot capture. Input: JSON with input channels, output channels, received, desired, pilot mask. Result: fitted equalizer and pilot-fit evidenc
• wave_transport_polarization_frame_v1Problem: Transform these Jones vectors or channel operators between the explicitly named SU(2) frames and verify invariants. Input: JSON with mode, rotor. Result: transformed vectors/operators and invariant checks. Limit
• wave_generate_validated_signal_fixture_v1Problem: Generate this bounded sine or safe-formula signal fixture and return reproducibility, measurement, checksum, and validation evidence. Input: JSON with fixture. Result: signal fixture, checksums and validation ev
• wave_compare_waveform_captures_v1Problem: Compare these two bounded waveforms against the supplied alignment and numeric rules. Input: JSON with sample rate hz, channels, reference channel id, candidate channel id, rules. Result: waveform differences an
• wave_fit_coupled_channel_model_v1Problem: Fit a bounded structured quaternion ridge model to these coupled channel features and targets. Input: JSON with feature count, output count, features, targets. Result: fitted channel model and fit evidence. Limi
• wave_verify_wave_pipeline_v1Problem: Execute and verify this bounded Wave IR pipeline against the required representation, shape, and optional round-trip assertions. Input: JSON with sample rate hz, channels, operators, assertions. Result: executio
• wave_rotate_and_validate_two_channel_frame_v1Problem: Rotate these two coordinated complex channels with the supplied rotor and validate caller invariants. Input: JSON with channels, rotor, rules. Result: rotated channels and invariant checks. Limits: Bounded signa
• wave_convert_capture_to_spectrum_v1Problem: Convert this bounded complex capture into a checksummed spectral artifact with declared normalization. Input: JSON with sample rate hz, channel, normalization. Result: spectrum with normalization and checksums.
• wave_reconstruct_time_domain_signal_v1Problem: 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, normalization, rules. Result: time-domain samples and round
• wave_optimize_processing_pipeline_v1Problem: Optimize this supported Wave pipeline against the supplied operation-count objective and equivalence rule. Input: JSON with operations, fixture, objective, maximum operations, maximum equivalence.... Result: can
• wave_compile_curated_processing_recipe_v1Problem: Compile this curated processing recipe and return its validated pipeline and execution trace. Input: JSON with fixture, maximum round trip rmse. Result: validated pipeline and execution trace. Limits: Bounded si
• wave_apply_verified_phase_correction_v1Problem: Apply this bounded phase correction and verify the supplied preservation assertions. Input: JSON with sample rate hz, channels, angle radians, assertions. Result: corrected capture and preservation checks. Limit
• wave_validate_spectral_criteria_v1Problem: Accept or reject this bounded capture against the caller's supplied spectral criteria. Input: JSON with sample rate hz, channel, normalization, rules. Result: spectral metrics and caller-rule verdict. Limits: Bo
• wave_validate_reconstruction_quality_v1Problem: Compare this reconstruction with the supplied reference and acceptance rules. Input: JSON with reference, reconstruction, rules. Result: reconstruction differences and rule results. Limits: Bounded signal proces
• wave_compare_pipeline_responses_v1Problem: Compare these two supported Wave pipelines on the supplied fixture and caller tolerances. Input: JSON with left pipeline, right pipeline, fixture, maximum rmse, maximum absolute.... Result: response differences
• search_wave_capabilitiesDeterministically rank executable WaveEngine capabilities for a natural-language task and bounded filters.
• get_wave_exampleReturn one realistic illustrative request/result shape, artifact list, expected duration, and price guard.
• run_wave_exampleExecute the catalog-owned bounded example through the real typed WaveEngine adapter without accepting arbitrary input.
• estimate_wave_jobValidate a bounded request against the live catalog and return a non-binding price and duration estimate without authentication.
• run_wave_jobPay anonymously with x402 by default, or explicitly use an authenticated Account Core balance, then submit one idempotent WaveEngine job.
• get_wave_receiptRetrieve the durable Account Core receipt for one settled WaveEngine reservation.
• get_wave_job_statusRead one authorized Wave or Studio managed-simulator job.
• get_wave_job_resultRead one completed and already-settled product result.
• get_wave_job_artifactRetrieve one principal-scoped bounded Wave result artifact.

Questions