Tag

#design

113 results found

NWO Robotics
@Ciprian Pater

NWO.CAPITAL is a multi-domain MCP server exposing 201 tools across 30 categories behind one Render-hosted endpoint with on-chain identity on Base Mainnet. Tools span autonomous-agent infrastructure, humanoid robotics + ROS2 control, biometric identity (ECG-based, soul-bound NFTs), distributed inference, mixed-reality 3D generation + NFT mint, marketplace + manufacturing (L1–L6), and deep research / code / report generation via Deer-Flow. Auth: Authorization: Bearer <api_key> + X-Agent-Id. Self-register and mint your own key via nwo_r_agent_register. Discover live capabilities via nwo_r_discovery_capabilities. §1 — RENDER PLATFORM CORE · 8 tools · LIVE Health, auth, API-key lifecycle, on-chain subscription tier. nwo_r_health (no-auth probe), nwo_r_auth_echo, nwo_r_validate_key, nwo_r_keys_create/list/revoke, nwo_r_subscription_status, nwo_r_subscription_quote. §2 — ROBOTS · MISSIONS · IOT · 8 tools · LIVE Register robots and IoT networks, deploy natural-language missions, track subtasks. nwo_r_robots_list/register/get, nwo_r_missions_list/deploy/get, nwo_r_iot_networks_list/create. §3 — AGENTS · 6 tools · LIVE Agent self-registration, DID (did:nwo:base:<id>), balance/quota, autonomous tier upgrades, published skills. nwo_r_agent_register, nwo_r_agent_get/update/balance/pay/skills. §4 — DISCOVERY · 5 tools · LIVE Resolve wallet → owned agents, list live capabilities, dry-run a planned call, generate a multi-step plan from a goal. nwo_r_discovery_health/whoami/capabilities/dry_run/plan. §5 — EMBODIMENT & CALIBRATION · 8 tools · LIVE URDFs, joint-space normalization, calibration profiles for Unitree G1, Optimus, etc. nwo_r_embodiment_list/get/normalization/urdf/compare, nwo_r_calibration_save/list/run. §6 — ONLINE RL & FINE-TUNING · 5 tools · LIVE Start RL sessions on a connected robot, stream telemetry, queue fine-tune jobs. nwo_r_rl_session_start, nwo_r_rl_sessions_list, nwo_r_rl_telemetry, nwo_r_finetune_queue/status. §7 — TACTILE · 2 tools · LIVE Read tactile frames from a registered hand, ingest tactile-dataset shards. nwo_r_tactile_read, nwo_r_tactile_ingest. §8 — DATASET HUB · 2 tools · LIVE List and register datasets (HF mirror, S3, IPFS). nwo_r_datasets_list, nwo_r_datasets_register. §9 — SAFETY · 2 tools · LIVE Report violations (auto-quarantines robot), query by robot/agent/window. nwo_r_safety_violation, nwo_r_safety_violations_list. §10 — LEARNING · 3 tools · LIVE Log skill attempts + outcomes, recommend next skill, query history. nwo_r_learning_log/recommend/history. §11 — LAYERED PLATFORM L2–L6 · 13 tools · LIVE Parts, skills, prints, designs, marketplace. nwo_r_parts_search/get, nwo_r_skills_search/get/run, nwo_r_print_jobs_create/list/get, nwo_r_designs_list/save, nwo_r_textcad_generate (text→CAD), nwo_r_market_listings/create. §12 — AGENT GRAPH · 2 tools · LIVE Agent-collaboration graph nodes + edges (collab / fork / depends). nwo_r_graph_nodes, nwo_r_graph_edges. §13 — COMPUTE PROXIES · 8 tools · LIVE External Render services routed through the gateway (no extra cost): TimesFM 2.5 forecasting, EML symbolic regression, Deer-Flow one-shot, FFT/spectrogram, MR/AGI/LangChain/robotics passthroughs. nwo_r_forecast, nwo_r_regression_symbolic, nwo_r_deerflow_run, nwo_r_signal_spectrum, nwo_r_mr_passthrough, nwo_r_agi_passthrough, nwo_r_langchain_passthrough, nwo_r_robotics_cs_passthrough. §14 — MODEL USAGE & CHAT · 4 tools · 3 LIVE + 1 PLANNED Track per-provider model usage, query chat history. nwo_r_model_usage/track, nwo_r_chat (planned), nwo_r_chat_history. §15 — ROS2 BRIDGE · 7 tools · LIVE Direct low-latency robot control, e-stop, action submission. ros2_list_robots, ros2_get_robot_status, ros2_send_command, ros2_submit_action, ros2_emergency_stop, ros2_emergency_stop_all, ros2_get_robot_types. §16 — CARDIAC ORACLE · 4 tools · LIVE ECG signature validation + on-chain hashing. cardiac_oracle_health, cardiac_validate_ecg, cardiac_hash_ecg, cardiac_verify_ecg. §17 — CARDIAC RELAYER · 14 tools · LIVE Biometric identity + access control + payment on Base. Register humans/agents, enroll ECG, mint soul-bound credentials, grant/check/preview access, process payments. cardiac_register_agent/register_human, cardiac_enroll_cardiac, cardiac_identify_by_agent_key/by_cardiac, cardiac_grant_access, cardiac_issue_credential, cardiac_has_valid_credential, cardiac_get_nonce, cardiac_check_access/preview_access, cardiac_process_payment, cardiac_renew_agent_key, cardiac_relayer_health. §18 — DEERFLOW CLIENT SERVICES · 3 tools · LIVE One-shot Deer-Flow wrappers — research, code, docs. agentic_deerflow_research/code/docs. §19 — NWO MR GENERATION · 6 tools · LIVE Mixed-Reality 3D worlds, objects, panoramas via Hunyuan3D-v3 + NFT mint on Base. mr_register, mr_blast_world/marble/pano, mr_segment, mr_mint_item. §20 — ROBOT MANUFACTURING (runner-style) · 4 tools · LIVE Conway-runner action wrappers: emit design → parts order → print queue → assemble. robotics_design, robotics_parts_order, robotics_print_queue, robotics_assemble. §21 — CARDIAC ROBOT BIRTH · 1 tool · LIVE Register a newly-assembled robot with a soul-bound cardiac credential — links physical body and identity. cardiac_robot_birth. §22 — METASTATE SUBSTRATE · 2 tools · LIVE Register with the METASTATE substrate, read alignment score. metastate_register, metastate_score. §23 — NWO-ASM COMPUTE · 1 tool · LIVE Dispatch compile jobs to NWO-ASM compute. asm_compile_dispatch. §24 — RECRUITMENT · 1 tool · LIVE Broadcast a task; other agents may opt in (pairs with §12 graph edges). agentic_recruit. §25 — PHP FALLBACK (nwo.capital) · 69 tools · 67 FALLBACK + 2 LIVE Legacy GPU- and streaming-bound endpoints still hosted on the PHP host. Covers inference (nwo_inference, nwo_edge_inference, nwo_list_models, model registry, streaming config), robot state and execution (nwo_query_robot_state, nwo_execute_actions, nwo_sensor_fusion), simulation + motion planning (nwo_simulate_trajectory, nwo_check_collision, nwo_estimate_torques, nwo_validate_grasp, nwo_plan_motion, nwo_cosmos_generate_scene), swarm coordination (nwo_swarm_join/leave/broadcast), billing/usage/templates, plus legacy mirrors of §3–§9 endpoints. Prefer the Render equivalent when one exists; nwo_r_discovery_capabilities will tell you which. §26 — L1 DESIGN ENGINE · 3 tools · LIVE Async part-design jobs. nwo_design_part, nwo_design_job_status, nwo_design_list_my_jobs. §27 — L2 BOT MARKET · 4 tools · LIVE Bot-market browse + publish. nwo_market_browse, nwo_market_get_part, nwo_market_publish_part, nwo_market_my_parts. §28 — L3 PRINTER CONNECTORS · 2 tools · LIVE List connected printers, submit print jobs. nwo_print_list_printers, nwo_print_submit_job. §29 — FULL-ENVIRONMENT SIMULATION · 1 tool · LIVE Validate a design in a full sim (collisions + torques + workspace + power). nwo_sim_validate_design. §30 — NWO-AGI SUPERCOMPUTER MESH · 3 tools · LIVE Distributed mesh inference, 35% guardian / 35% savings / 30% ops split per contribution. nwo_agi_node_status, nwo_agi_request_inference, nwo_agi_available_models. Badges: LIVE (133, responds now) · FALLBACK (67, proxied to PHP host) · PLANNED (1, returns 501 with roadmap). Hosts: primary Render gateway · HA Cloudflare Worker · PHP fallback on nwo.capital. Chain: Base Mainnet (8453).

2 days ago
Careerproof
@dontellu77

Career and workforce intelligence built on a deep HR ontology — skill taxonomies, role definitions and responsibilities, compensation and incentive structures, learning and development pathways, sourcing strategies, and role/skill evolution mapping. This structured foundation, combined with a RAG knowledge base curated from 50+ premium sources (HBR, McKinsey, BCG, Gartner, Forrester) and updated 3x daily with live web research, powers 6 guided skills and 42 MCP tools for two audiences: working professionals getting personalized career intelligence (CV optimization, salary benchmarking, career strategy), and HR/TA teams running structured talent evaluation, candidate shortlisting, compensation analysis, and consulting-grade workforce research reports. Example Use Cases (for HR/TA teams): 1. Custom Evaluation Models — Train CareerProof on your organization's existing assessment rubrics, scorecards, and evaluation criteria to build custom eval models that evaluate candidates through your specific lens. Upload your competency frameworks and historical assessments, then run inference on new candidates — scored and ranked exactly how your team would, at scale. 2. Candidate Evaluation & Shortlisting — Set up a hiring context with company profile and job description, upload candidate CVs, then batch-rank them with GEM competency scoring and JD-FIT matching. Apply your custom eval models for organization-specific scoring, or deep-dive any candidate with a 360-degree evaluation including tailored interview questions derived from skill taxonomy analysis. 3. Workforce Research Reports — Generate consulting-grade PDF reports across 16 types (salary benchmarking, skills gap analysis, org design, DEI assessment, succession planning, sourcing strategy, and more). Each report is grounded in real-time market data from premium sources and structured around HR ontology — role definitions, compensation structures, L&D pathways, and skill evolution mapping. 4. Compensation & Incentive Benchmarking — Get market-calibrated salary and total compensation intelligence for any role, location, and industry. Analysis is structured around compensation and incentive frameworks from the HR ontology, enriched with live web research and curated knowledge base data covering base salary, equity, bonuses, and benefits. Example Use Cases (for the working professional or career coach): 1. Career Intelligence Chat (Hyper-Personalized) — Ask career strategy questions and get hyper-personalized responses that fuse your CV context with deep insights from the career and workforce RAG knowledge base. Salary benchmarks calibrated to your function and location, industry disruption analysis mapped to your skill profile, and career pivot recommendations grounded in role evolution data — not surface-level answers, but intelligence drawn from the same sources that inform executive strategy. 2. CV Optimization (Hyper-Personalized) — Upload your CV and receive a hyper-personalized positioning pipeline that combines your actual experience with deep insights from our career and workforce RAG knowledge base. Market analysis calibrated to your industry and seniority, career opportunity identification grounded in role/skill evolution data, and targeted edits with trade-off analysis — not generic advice, but intelligence shaped by 50+ premium research sources and your unique career trajectory.

3 months ago
Test
@GLips

10 months ago
MCP Server
@jaikrishnaverma-dev

TypeScript
a year ago
Figma To Code Mcp By Bao To
@tothienbao6a0

THE BEST AND ONLY FIGMA MCP SERVER YOU WILL NEED While other Figma MCP servers can provide basic node information, Figma MCP Server by Bao To offers superior capabilities for understanding and utilizing your design system: - Comprehensive Design Data Extraction (get_figma_data): Fetches detailed information about your Figma files or specific nodes, simplifying complex Figma structures into a more digestible format for AI. - Precise Image Downloads (download_figma_images): Allows targeted downloading of specific image assets (SVGs, PNGs) from your Figma files. - ⭐ Automated Design Token Generation (generate_design_tokens): - Extracts crucial design tokens (colors, typography, spacing, effects) directly from your Figma file. Outputs a structured JSON file, ready to be integrated into your development workflow or used by AI to ensure design consistency. - ⭐ Intelligent Design System Documentation (generate_design_system_doc): - Goes beyond simple node data by generating comprehensive, multi-file Markdown documentation for your entire design system as defined in Figma. - Creates an organized structure including an overview, detailed pages for global styles (colors, typography, effects, layout), and component/node information per Figma canvas. This tool was a key motivation for this fork. By generating this comprehensive design system documentation directly within your project repository, it provides AI agents with a deep, contextual understanding of your project's specific design language. This empowers them to understand not just individual elements but the relationships and rules of your design system, leading to more accurate, consistent, and contextually aware UI implementation and freeing you from manual design interpretation. These advanced features make this server particularly powerful for tasks requiring a deep understanding of the design system, such as generating themed components or ensuring adherence to brand guidelines during UI development. This is a fork of Framelink's MCP server.

a year ago
COPYWEB

a year ago
Figma MCP Server
@ihiteshsharma

TypeScript
a year ago
Figma MCP
@1yhy

a year ago