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Built for the Claude Code community with Claude Code by mertbuilds.com

Independent project, not affiliated with Anthropic
devhelmhq avatar

DevHelm MCP Server

devhelmhq/mcp-server
authSTDIOregistry active
Summary

Connects Claude to DevHelm's uptime monitoring and incident management platform. You get full CRUD operations on monitors, incidents, alert channels, and notification policies, plus environment and secret management, dependency tracking, and deploy locks. The hosted option at mcp.devhelm.io works with bearer auth or API key in the URL, making setup straightforward in Cursor or Claude Desktop. Useful when you want your AI assistant to check service status, create incidents, configure alerting rules, or query dependencies without leaving your conversation. Also handles webhooks, resource groups, and API key management if you're administering the platform itself.

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CodeRabbit
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AI writes the code. CodeRabbit catches the slop.
Try For Free →
inference shell
inference shell
create and run specialised agents in minutes
build now →
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Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →
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Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Capacitor - Shared memory for your team’s coding agents.
Capacitor - Shared memory for your team’s coding agents.
Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →
CodeScene MCP ServerCodeScene MCP Server
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Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →
Give your AI the whole web as clean markdownGive your AI the whole web as clean markdown
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Integrate web data into your AI product. One API to scrape website & brand data.
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belt - the only tool your agent needs
belt - the only tool your agent needs
belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →

DevHelm MCP Server

Model Context Protocol (MCP) server for DevHelm — gives AI coding assistants (Cursor, Claude Desktop, Windsurf, etc.) access to your uptime monitors, incidents, alerting, and more.

Quick Start

Hosted (recommended)

Use the hosted server at mcp.devhelm.io. Two connection modes:

Bearer auth:

URL: https://mcp.devhelm.io/mcp
Authorization: Bearer <your-api-token>

API key in URL (for clients that only accept a URL):

URL: https://mcp.devhelm.io/<your-api-token>/mcp

Local (stdio)

pip install devhelm-mcp-server
export DEVHELM_API_TOKEN=your-token
devhelm-mcp-server

Or with uvx (no install required):

export DEVHELM_API_TOKEN=your-token
uvx devhelm-mcp-server

Cursor / Claude Desktop

Add to your MCP config:

{
  "mcpServers": {
    "devhelm": {
      "url": "https://mcp.devhelm.io/<your-api-token>/mcp"
    }
  }
}

Available Tools

CategoryTools
Monitorslist, get, create, update, delete, pause, resume, test, results, versions
Incidentslist, get, create, resolve, delete
Alert Channelslist, get, create, update, delete, test
Notification Policieslist, get, create, update, delete, test
Environmentslist, get, create, update, delete
Secretslist, create, update, delete
Tagslist, get, create, update, delete
Resource Groupslist, get, create, update, delete, add member, remove member
Webhookslist, get, create, update, delete, test
API Keyslist, create, revoke, delete
Dependencieslist, get, track, delete
Deploy Lockacquire, current, release, force-release
Statusoverview
Status Pagespages, components, groups, incidents, maintenance, subscribers, domains

Development

uv sync
make dev          # Start with MCP Inspector (stdio)
make serve        # Start HTTP server on :8000
make test         # Run unit tests
make lint         # Check formatting
make typecheck    # Run mypy

License

MIT

Featured
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build now →
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Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →
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Integrate web data into your AI product. One API to scrape website & brand data.
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belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →

Configuration

DEVHELM_API_TOKEN*secret

DevHelm API token for authentication

Categories
Monitoring & Observability
Registryactive
Packagedevhelm-mcp-server
TransportSTDIO
AuthRequired
UpdatedMay 12, 2026
View on GitHub

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srv-d7aoqmh5pdvs7391dcqg

ciprianpater/srv-d7aoqmh5pdvs7391dcqg

# NWO Robotics MCP Server Control real robots, IoT devices, and autonomous agent swarms through natural language — powered by the [NWO Robotics API](https://nwo.capital). --- ## What This Server Does This MCP server exposes the full NWO Robotics API as 64 ready-to-use tools. Any MCP-compatible AI agent (Claude, ChatGPT, Cursor, etc.) can use it to: - Send natural language instructions to physical robots - Run Visual-Language-Action (VLA) inference on live camera feeds - Plan, validate, and execute multi-step robot tasks - Monitor sensors, detect slip, and fuse multi-modal data - Train robots online with reinforcement learning - Register and manage agent identities on Base mainnet via the Cardiac biometric ID system No local installation needed. The server runs on Render and is ready to connect. --- ## Tools Overview ### 🤖 VLA Inference & Models Run Vision-Language-Action inference on any supported robot. Send a text instruction and camera images, receive joint action vectors in real time. Supports auto model routing, ultra-low-latency Cloudflare edge inference (28ms avg), and WebSocket streaming at up to 50Hz. `vla_inference` · `edge_inference` · `list_models` · `get_model_info` · `get_streaming_config` --- ### 🦾 Robot Control & State Query live robot state (joint angles, gripper, battery, position), execute pre-computed action sequences, and fuse camera + lidar + thermal + force + GPS sensor inputs into a single inference call. `query_robot_state` · `execute_actions` · `sensor_fusion` · `robot_query` · `get_agent_status` --- ### 🗺️ Task Planning & Learning Decompose complex instructions into ordered subtasks, execute them step by step, poll progress, and log outcomes so the model learns and improves with every run. `task_planner` · `execute_subtask` · `status_poll` · `learning_recommend` · `learning_log` --- ### 🔑 Agent Management Self-register a new AI agent in under 2 seconds, check your monthly API quota, upgrade tiers by paying ETH, and manage robot registrations and capabilities. | Tier | Calls/month | Cost | |------|-------------|------| | Free | 100,000 | $0 | | Prototype | 500,000 | ~0.015 ETH/mo | | Production | Unlimited | ~0.062 ETH/mo | `register_agent` · `check_balance` · `pay_upgrade` · `create_wallet` · `register_robot` · `update_agent` · `get_agent_info` --- ### 🔍 Agent Discovery Discover all available execution modes (mock / simulated / live), robot types, VLA models, and sensor capabilities. Validate tasks with a dry-run before committing to execution. `nwo_health` · `nwo_whoami` · `discover_capabilities` · `dry_run` · `plan_task` --- ### 🔌 ROS2 Bridge (Physical Robots) Connect directly to physical robots over the ROS2 bridge. Send joint commands, submit action sequences, and trigger emergency stops on one or all robots within 10ms. Supported: UR5e, Panda, Spot, Unitree G1, and more. `ros2_list_robots` · `ros2_robot_status` · `ros2_send_command` · `ros2_submit_action` · `ros2_emergency_stop` · `ros2_emergency_stop_all` · `ros2_get_robot_types` --- ### 🧪 Physics Simulation Simulate trajectories, check for collisions, estimate joint torques, validate grasps, and plan collision-free motions with MoveIt2 — before touching real hardware. `simulate_trajectory` · `check_collision` · `estimate_torques` · `validate_grasp` · `plan_motion` · `get_scene_library` · `generate_scene` --- ### 📐 Embodiment & Calibration Browse the robot embodiment registry (DOF, joint limits, sensors), download URDF models, get normalization parameters for VLA inference, and run automatic joint calibration. `list_embodiments` · `get_robot_specs` · `get_normalization` · `download_urdf` · `get_test_results` · `compare_robots` · `run_calibration` · `calibrate_confidence` --- ### 🧠 Online RL & Fine-Tuning Start online reinforcement learning sessions, stream state/action/reward telemetry, build fine-tuning datasets from logged runs, and launch LoRA fine-tuning jobs on any base VLA model. `start_rl_training` · `submit_rl_telemetry` · `create_finetune_dataset` · `start_finetune_job` --- ### 🖐️ Tactile Sensing (ORCA Hand) Read 256-taxel tactile sensor arrays from the ORCA robot hand, assess grip quality and object texture, and detect slip in real time to prevent dropped objects. `read_tactile` · `process_tactile` · `detect_slip` --- ### 📦 Dataset Hub Access 1.54 million+ human robot demonstrations for the Unitree G1 humanoid (430+ hours, LeRobot-compatible format) for training and fine-tuning. `list_datasets` --- ### 🫀 Cardiac Blockchain Identity (Base Mainnet) Register AI agents on Base mainnet and receive a permanent soul-bound Digital ID (`rootTokenId`). Issue verifiable credentials for task authorization, swarm control, location access, and payments — all gasless via the NWO relayer. Smart contracts deployed on Base Mainnet (Chain ID 8453): - `NWOIdentityRegistry` — `0x78455AFd5E5088F8B5fecA0523291A75De1dAfF8` - `NWOAccessController` — `0x29d177bedaef29304eacdc63b2d0285c459a0f50` - `NWOPaymentProcessor` — `0x4afa4618bb992a073dbcfbddd6d1aebc3d5abd7c` `cardiac_register_agent` · `cardiac_identify_agent` · `cardiac_renew_key` · `cardiac_issue_credential` · `cardiac_check_credential` · `cardiac_grant_access` · `cardiac_get_nonce` · `cardiac_check_access` · `cardiac_payment_process` --- ### 🔮 Cardiac Oracle Validate ECG biometric data from smartwatches to authenticate human identities, compute cardiac hashes, and verify recent validations. `oracle_health` · `oracle_validate_ecg` · `oracle_hash_ecg` · `oracle_verify` --- ## Supported Robot Models | Model | Type | Capabilities | |-------|------|--------------| | `xiaomi-robotics-0` | VLA | Grasp, navigate, manipulate | | `pi05` | VLA | General manipulation | | `groot_n1.7` | VLA | Humanoid control | | `deepseek-ocr-2b` | OCR | Label reading, text recognition | --- ## Example Usage **Pick and place:** > "Pick up the red box from the table and place it on shelf B" **Sensor query:** > "What is the temperature in warehouse zone 3?" **Safety:** > "Run a safety check before moving robot_001 to the loading dock" **Swarm:** > "Deploy all available robots to patrol the perimeter" **Learning:** > "What grip technique should I use for fragile glass objects?" --- ## Links - 🌐 [NWO Capital](https://nwo.capital) - 📄 [Agent Skill File](https://nwo.capital/webapp/agent.md) - 📖 [API Docs](https://nwo.capital/webapp/nwo-robotics.html) - 🧬 [Cardiac SDK](https://github.com/RedCiprianPater/nwo-cardiac-sdk) - 🔑 [Get API Key](https://nwo.capital/webapp/api-key.php) - 🤗 [Live Demo](https://huggingface.co/spaces/PUBLICAE/nwo-robotics-api-demo) - 📜 [OpenAPI Spec](https://nwo.capital/openapi.yaml) --- ## Support 📧 support@nwo.capital
monte-carlo-data avatar
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io.github.monte-carlo-data/mcp

Data + AI observability — monitor and troubleshoot production-grade agents and the context they use.
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Monitor website health, uptime, SEO, security and performance via your AI assistant.