RQM Jobs MCP

Name: RQM Jobs MCP
Author: com.rqmtechnologies

MCP serverMCP

Delegate 60 specialist work products: 20 WaveEngine, 20 RQM Studio, and 20 RQM Robotics jobs.

Until 2026-09-26 this record combined several servers published from one repository. The others now have records of their own: RQM Robotics Jobs, RQM Studio Jobs, RQM WaveEngine Jobs. Checks from before that date include them.

by com.rqmtechnologiesrepository ↗homepage ↗v1.6.0

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Evidence

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30-day availability229/234 checks ok

Tools observed via MCP handshake

run_account_job — Purchase one discovered service using prepaid credits within the account owner's saved spending policy. First search_buyer_jobs for the task and inspect the sel
get_account_job — Read this agent's saved account-funded job by its returned job ID to check status and recover available result and receipt. Use after submission or when followi
list_account_jobs — List up to 100 recent jobs for this agent, or find the original account-funded purchase using its idempotency key. Use for purchase history and recovery before
list_buyer_jobs — Return complete agent discovery contracts and readiness for the exact 20/20/20 RQM specialist work portfolio.
search_buyer_jobs — Select RQM buyer jobs from work-language requests using deterministic semantic scoring over instructions, examples, outputs, and next steps.
list_capabilities — Describe the preserved v0/v1 surface or the dynamic v2/v3 Wave catalog.
get_capability — Return one full approved public Wave capability descriptor.
run_buyer_job — Quote, settle, and submit one allowlisted WaveEngine, Studio, or Robotics buyer job using x402.
settle_buyer_job — Server-side Jobs-rail x402 settle for connector hosts that cannot sign. Replays the same idempotency key with PAYMENT-SIGNATURE. An RQM-owned operator signer is
robotics_frame_convention_validation_v1 — Problem: Validate this bounded frame graph and report unit, axis, handedness, rotation, and transform-direction violations. Input: JSON with frames, declared le
robotics_assess_calibration_quality_v1 — Problem: Assess this bounded calibration dataset against the supplied residual, coverage, and consistency rules. Input: JSON with length unit, observations, rul
robotics_diagnose_trajectory_instability_v1 — Problem: Diagnose this bounded trajectory for the supplied oscillation, divergence, and stability indicators. Input: JSON with frame id, length unit, samples, r
robotics_validate_trajectory_timing_v1 — Problem: Validate timestamps, ordering, rates, gaps, and synchronization in this bounded trajectory or sensor trace. Input: JSON with clock id, samples, rules.
robotics_normalize_sensor_frames_v1 — Problem: Convert these bounded sensor observations into the supplied target frame and unit convention. Input: JSON with frame graph, target frame id, observatio
robotics_reconstruct_smoothed_trajectory_v1 — Problem: Reconstruct this bounded trajectory under the supplied smoothing model and residual rule. Input: JSON with samples, model, rules. Result: smoothed traj
robotics_estimate_fused_state_v1 — Problem: Fuse these bounded synchronized sensor observations under the supplied diagonal uncertainty model and rules. Input: JSON with observations, model, rule
robotics_compute_actuator_alignment_correction_v1 — Problem: Compute a bounded actuator alignment correction from these observations and caller acceptance limits. Input: JSON with observations, model, rules. Resu
robotics_compare_controller_responses_v1 — Problem: Compare these bounded controller responses on identical traces using the supplied objective rules. Input: JSON with baseline, candidate, rules. Result:
robotics_compare_state_estimators_v1 — Problem: Compare these bounded estimator outputs against the supplied reference and objective rules. Input: JSON with reference, estimators, rules. Result: per-
robotics_compare_planned_observed_trajectories_v1 — Problem: Compare planned and observed trajectories against caller tolerances. Input: JSON with planned, observed, rules. Result: typed verdict, measured metrics
robotics_compare_digital_twin_observations_v1 — Problem: Compare digital-twin output with mapped observations against caller tolerances. Input: JSON with predicted, observed, declared mapping, rules. Result:
robotics_tune_controller_to_objectives_v1 — Problem: Tune a supported controller only within supplied bounds and safety limits. Input: JSON with supported controller, current gain, fixture error, target e
robotics_optimize_trajectory_to_constraints_v1 — Problem: Optimize a bounded trajectory only when speed and duration constraints pass. Input: JSON with trajectory, maximum speed, maximum duration s. Result: ty
robotics_validate_kinematic_dynamic_limits_v1 — Problem: Accept or reject a bounded trajectory against caller kinematic limits. Input: JSON with trajectory, maximum speed, maximum acceleration. Result: typed
robotics_optimize_disturbance_rejection_v1 — Problem: Tune supported control parameters against this bounded disturbance model and supplied response objectives. Input: JSON with mass, damping, disturbance,
robotics_validate_closed_loop_stability_v1 — Problem: Accept or reject this bounded closed-loop model under the supplied stability criteria. Input: JSON with discrete state matrix, criteria. Result: eigenv
robotics_check_collision_constraints_v1 — Problem: Check this bounded geometry and trajectory against the supplied collision and clearance constraints. Input: JSON with trajectory, obstacles, robot radi
robotics_replay_workcell_trace_v1 — Problem: Replay this bounded workcell trace against the supplied event assertions. Input: JSON with model id, events, assertions. Result: timeline, assertion re
robotics_analyze_force_disturbance_response_v1 — Problem: Analyze these bounded force and disturbance inputs against the supplied response model and criteria. Input: JSON with mass kg, damping n s per m, stiff
quote_job — Return a preserved v0 placeholder or a durable v1 Account Core USD quote.
get_account_balance — Read the authenticated canonical Account Core prepaid USD balance.
create_funding_session — Create an idempotent Stripe Checkout URL for human prepaid funding.
submit_wave_job — Reserve an exact quote and submit one bounded catalog-approved Wave job.
submit_quantum_job — Reserve an exact quote and submit one bounded managed-simulator job.
get_job_status — Read one authorized Wave or Studio managed-simulator job.
get_job_result — Read one completed and already-settled product result.
cancel_job — Request cancellation of one authorized product job.
get_job_artifact — Retrieve one principal-scoped bounded Wave result artifact.

Provenance

Where this record came from

Every source is kept verbatim. Field changes are logged as events.

Official MCP Registrycom.rqmtechnologies/jobs

first seen 1 mo ago · fetched 35 h agoopen ↗

Field history (12 recent events)

14 d ago · declared · summary → "Delegate 60 specialist work products: 20 WaveEngine, 20 RQM Studio, and 20 RQM Robotics jobs."
14 d ago · declared · description → "Delegate 60 specialist work products: 20 WaveEngine, 20 RQM Studio, and 20 RQM Robotics jobs."
14 d ago · declared · name → "RQM Jobs MCP"
14 d ago · declared · homepageUrl → "https://www.rqmtechnologies.com/docs"
15 d ago · declared · description → "Delegate 20 typed RQM Robotics jobs for validation, diagnosis, comparison, and optimization."
15 d ago · declared · name → "RQM Robotics Jobs"
15 d ago · declared · homepageUrl → "https://www.rqmtechnologies.com/robotics-lab"
15 d ago · declared · summary → "Delegate 20 typed RQM Robotics jobs for validation, diagnosis, comparison, and optimization."
22 d ago · declared · name → "RQM Studio Jobs"
22 d ago · declared · summary → "Delegate 20 fail-closed RQM Studio quantum work products with fixed-request x402."
22 d ago · declared · description → "Delegate 20 fail-closed RQM Studio quantum work products with fixed-request x402."
22 d ago · declared · homepageUrl → "https://www.rqmtechnologies.com/rqm-studio"

when	check	result	http	latency	detail
6 h ago	mcp initialize	ok	200	214 ms	server com.rqmtechnologies/jobs 1.7.0 · protocol 2025-06-18 · 38 tools
12 h ago	mcp initialize	ok	200	238 ms	server com.rqmtechnologies/jobs 1.7.0 · protocol 2025-06-18 · 38 tools
18 h ago	mcp initialize	ok	200	196 ms	server com.rqmtechnologies/jobs 1.7.0 · protocol 2025-06-18 · 38 tools
25 h ago	mcp initialize	ok	200	722 ms	server com.rqmtechnologies/jobs 1.7.0 · protocol 2025-06-18 · 38 tools
31 h ago	mcp initialize	ok	200	446 ms	server com.rqmtechnologies/jobs 1.7.0 · protocol 2025-06-18 · 38 tools
2 d ago	mcp initialize	ok	200	872 ms	server com.rqmtechnologies/jobs 1.7.0 · protocol 2025-06-18 · 38 tools
2 d ago	mcp initialize	ok	200	967 ms	server com.rqmtechnologies/jobs 1.7.0 · protocol 2025-06-18 · 38 tools
2 d ago	mcp initialize	ok	200	1041 ms	server com.rqmtechnologies/jobs 1.7.0 · protocol 2025-06-18 · 38 tools
2 d ago	mcp initialize	ok	200	1112 ms	server com.rqmtechnologies/jobs 1.7.0 · protocol 2025-06-18 · 38 tools
3 d ago	mcp initialize	ok	200	786 ms	server com.rqmtechnologies/jobs 1.7.0 · protocol 2025-06-18 · 38 tools

RQM Jobs MCP

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