MESH-API v0.7.5.3 Beta — Meshtastic + MeshCore Mesh Router & API / AI Bridge
🎉 Now with full MeshCore support (since v0.7.0)
The Meshtastic logo trademark is the trademark of Meshtastic LLC.
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Host a copy with our keys and logs.
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Ejecutar en PlugMCP
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🎉 Now with full MeshCore support (since v0.7.0)
MESH-API — Off-Grid AI & API Router & with MCP server & over 30 API extensions for Meshtastic & MeshCore - Seamlessly connect LM Studio, Ollama, AI Providers , 3rd-party APIs, Agents & Home Assistant to your LoRa mesh. Supports custom commands, Twilio SMS, Discord channel routing, & GPS emergency alerts via SMS, email, or Discord + SO MUCH MORE
You can run MESH-API with EITHER a Meshtastic node, a MeshCore node — or BOTH at the same time, with MESH-API handling cross-network routing between them. MeshCore is a first-class, core-owned radio on equal footing with Meshtastic. Slash commands, the AI assistant, and every extension work across both networks, and the WebUI adapts to whichever radios you have connected.
⚠️ These features are widely untested and I am actively seeking community feedback. If you run a Meshtastic-only, MeshCore-only, or dual-radio setup, please tell me what works, what breaks, and what you'd like to see — open a GitHub Issue. Your real-world reports directly shape the MeshCore implementation going forward.
Also included: a built-in MCP (Model Context Protocol) server that turns MESH-API into an agentic backend for AI tools, and a firmware/software update system. See the dedicated sections below.
🆕 What's new
v0.7.5.0 matures the MeshCore Bluetooth / Wi-Fi / USB connection paths: a configured
ble_pinnow actually pairs (MESH-API auto-registers a BlueZ pairing agent that supplies it),ble_pinis now in the ⚙️ Config editor and Setup Wizard, and the connection banner now shows why MeshCore isn't connected (BLE signal strength, node-seen-in-scan, and a plain-language hint). It also rolls up a batch of fixes — the #60 WebUI-save startup crash, a path-traversal hole, node-name XSS, restored/emergencyon LongFast, plus Home Assistantagent_id(#61) and opt-in commands from Telegram (#59). Building on: v0.7.4.1 revamps the dashboard Send a Message composer — Broadcast/Direct mode tabs, per-network broadcast checkboxes (📡 Meshtastic, 🟣 MeshCore, 🌉 Bridged), and a bridged channel dropdown that now shows both routed channels (e.g.0 → 📡 LongFast + 🟣 Public) — adds a Previously Seen node section with an adjustable staleness threshold, and fixes MeshCore presence so addressable contacts no longer drop out of the live node list (activity-based last-heard). v0.7.4 updated the first-start Setup Wizard to walk you through MeshCore as well as Meshtastic: a dedicated MeshCore step (serial / TCP / BLE, adverts, channel bridging), a toggle to run a MeshCore-only / standalone node, and a default send-network selector. The prior v0.7.3.7 ensured all extensions route to MeshCore (GitHub #59), and v0.7.3.6 added a token-free heartbeat for named AI endpoints.📜 See the full version history in CHANGELOG.md.
MESH-API is built and maintained by one developer with the help of AI tools. There is no corporate sponsor, no VC funding — just late nights, community feedback, and a passion for off-grid communication.
If MESH-API has been useful to you — whether you're running it on a Raspberry Pi in your go-bag, bridging your local mesh to Discord, or experimenting with AI on LoRa — please consider making a donation. Every contribution, no matter the size, directly fuels continued development, bug fixes, new extensions, and keeping this project free and open-source for everyone.
Thank you to everyone who has donated, filed issues, tested pre-releases, and spread the word. You are what makes this project possible. 🙏
MESH-API is an experimental project that bridges Meshtastic (& now MeshCore ) LoRa mesh networks with powerful AI chatbots and 3rd party APIs.
Most projects in this space stop at being "AI chatbot integrations" — but MESH-API is much more than that.
Full Router / Mesh Operator
MESH-API isn’t just talking to an LLM. It’s a protocol bridge and mesh backbone, designed to let LoRa networks, online (or offline) services, and APIs talk to each other in real time.
Not a One-Trick Pony
Where other tools simply connect to AI, MESH-API is built to route, translate, and post messages between different systems and services — making it a true hub for both on-grid and off-grid communication.
Expandable by Design
Any software with a working API can be integrated. That means you can merge in external services, dashboards, or automation platforms, extending the mesh far beyond its original scope.
AI-Powered Off-Grid Networks
MESH-API provides the foundation for self-sufficient LoRa mesh networks enhanced with AI, ensuring communication, automation, and decision-making remain possible — even without the internet.
In short, MESH-API bridges the gap between mesh services and online/locally hosted services, making it a powerful backbone for resilient, intelligent LoRa networks.
Disclaimer:
This project is NOT ASSOCIATED with the official Meshtastic Project. It is provided solely as an extension to add AI and advanced features to your Mesh network.
v0.7.4.1 Beta:
The 0.7.x line makes MeshCore a first-class radio and adds the MCP server and firmware-update system; v0.7.4.1 revamps the Send a Message composer (broadcast/direct mode tabs, multi-network broadcast targeting, bridged dropdown showing both channels), adds a Previously Seen node section, and fixes MeshCore node presence, building on v0.7.4's MeshCore Setup Wizard and v0.7.3.7's fix so every extension routes outbound messages to MeshCore as well as Meshtastic. These features are still relatively untested in the field — I am actively seeking community feedback. Run it with a Meshtastic node, a MeshCore node, or both, and please report what works and what breaks. Avoid relying on it for mission‑critical tasks or emergencies; always keep backup communication methods available and use responsibly.
I am one robot using other robots to write this code. Some features are still untested in the field. Check the GitHub issues for fixes or feedback!
The Meshtastic logo trademark is the trademark of Meshtastic LLC.
POST /mcp, so external AI agents (Claude, Perplexity, Hermes, custom) can drive the mesh as an agentic backend. Disabled by default; bearer-token auth. See MCP Server./spaceweather, /solarflare, /geomagstorm./about-XY, /help-XY, /motd-XY, /whereami-XY, /nodes-XY, AI commands with your unique suffix (e.g., /ai-XY, /bot-XY, /query-XY, /data-XY), unsuffixed /test, and unsuffixed /emergency (or /911), plus custom commands via commands_config.json./ai-9z) is generated on first run to reduce collisions when multiple bots exist on the same mesh or MQTT network. You can change it in config.json (field ai_command). All AI commands require this suffix, and other built‑ins (except emergency/911) also require your suffix.commands_config.json to avoid collisions with other users.ai_respond_on_longfast only if your local mesh agrees./discord_webhook endpoint allow for inbound Discord message processing.respond_to_mqtt_messages to true in config.json if you want the bot to respond to messages that arrive via MQTT. Off by default to prevent multiple server responses.An example of an awesome Raspberry Pi 5 powered mini terminal - running MESH-API & Ollama with HomeAssistant integration!
- Top case model here by oinkers1: https://www.thingiverse.com/thing:6571150
- Bottom Keyboard tray model here by mr_tbot: https://www.thingiverse.com/thing:7084222
- Keyboard on Amazon here: https://a.co/d/2dAC9ph
Prerequisites
Download/Clone
git clone https://github.com/mr-tbot/mesh-api.git
cd mesh-api
Create & Activate a Virtual Environment:
python -m venv venv
.\venv\Scripts\activate
Install Dependencies:
pip install --upgrade pip
pip install -r requirements.txt
Configure Files:
config.json, commands_config.json, and motd.json as needed. Refer to the Configuration section below.Start the Bot:
Run MESH-API - Windows.bat or run:
python mesh-api.py
Access the WebUI Dashboard:
Prerequisites
sudo apt update && sudo apt install -y python3 python3-pip python3-venv git
sudo usermod -aG dialout $USER
Download/Clone
git clone https://github.com/mr-tbot/mesh-api.git
cd mesh-api
Create & Activate a Virtual Environment:
python3 -m venv venv
source venv/bin/activate
Install Dependencies:
pip install --upgrade pip
pip install -r requirements.txt
Configure Files:
config.json, commands_config.json, and motd.json as needed. Refer to the Configuration section below.Start the Bot:
python mesh-api.py
Access the WebUI Dashboard:
Multi-arch Docker images are published for linux/amd64 (x86_64) and linux/arm64 (Raspberry Pi 4/5, Apple Silicon).
Prerequisites
Prepare the Volume Structure
docker-required-volumes/ folder in the repository contains a ready-to-use mesh-api/ directory with default configs, all 30 built-in extensions, and empty log files. Copy it to your working directory:
git clone https://github.com/mr-tbot/mesh-api.git
cd mesh-api
cp -r docker-required-volumes/mesh-api ./mesh-api
mesh-api/config/ before starting:mesh-api/
├── config/
│ ├── config.json # Core configuration (AI provider, connection, etc.)
│ ├── commands_config.json # Custom slash commands
│ └── motd.json # Message of the Day
├── extensions/ # All 30 built-in extensions (add your own here too)
│ ├── __init__.py
│ ├── base_extension.py
│ ├── loader.py
│ ├── discord/
│ ├── telegram/
│ ├── mqtt/
│ └── ... (30 built-in extensions)
└── logs/
├── script.log
├── messages.log
└── messages_archive.json
Pull & Run with Docker Compose
docker-compose.yml to the same directory as your mesh-api/ folder, then:
docker compose pull
docker compose up -d
devices and /dev volume lines in docker-compose.yml and set your serial device path (e.g. /dev/ttyUSB0 or /dev/ttyACM0).use_wifi: true and wifi_host in mesh-api/config/config.json — no device passthrough needed.Verify the Container:
docker compose logs -f mesh-api
Access the WebUI Dashboard:
Tip: To add custom extensions, drop the extension folder into
mesh-api/extensions/on the host — it's volume-mounted into the container so no rebuild is needed. Restart the container withdocker compose restartto pick up new extensions.
MESH-API supports two mesh radio platforms that can operate independently or be bridged together for cross-network communication.
Meshtastic is MESH-API's primary mesh network. Connection is handled automatically by the core — just plug in your Meshtastic device and configure the connection method in config.json.
All MESH-API features — AI commands, slash commands, emergency alerts, extensions, WebUI dashboard — work natively over the Meshtastic connection.
MeshCore is a lightweight, multi-hop LoRa mesh firmware focused on embedded packet routing. As of v0.7.0, MeshCore is a first-class radio owned by the MESH-API core (meshcore_core.py) — not an extension. It connects directly to a MeshCore companion-firmware device over USB serial, TCP, or BLE, and its inbound traffic flows through the same network-agnostic pipeline as Meshtastic, so commands, AI, and every extension work on it natively.
⬆️ Upgrading from an earlier build? The old
extensions/meshcorebridge plugin is deprecated and automatically defers to the core when the core MeshCore radio is enabled — you do not need (and should not use) the extension anymore. Move your settings into themeshcoreblock ofconfig.json(see below).
You can run one Meshtastic radio, one MeshCore radio, or one of each. With both connected, MESH-API acts as the man-in-the-middle, optionally bridging chat between the two networks. See Running With Meshtastic, MeshCore, or Both just below for the full configuration, topologies, and WebUI behavior.
Quick start:
pip install meshcore (already in requirements.txt).meshcore block of config.json (set enabled: true, pick connection_type, and the port/host/address).The latest v0.7.5.3 Beta Web-UI! NEW MAPS FEATURES AND TONS OF NEW GOODIES!
MESH-API v0.7.0 treats MeshCore as a first-class radio managed by the core
(meshcore_core.py), feeding inbound messages through the same network-agnostic
pipeline as Meshtastic. You can run any of three topologies:
Configure MeshCore in the meshcore block of config.json:
"meshtastic_enabled": true, // set false to run MeshCore-only
"default_send_network": "auto", // auto | meshtastic | meshcore | both
"meshcore": {
"enabled": true,
"connection_type": "serial", // serial | tcp | ble
"serial_port": "/dev/ttyUSB1", // or tcp_host/tcp_port, or ble_address
"serial_baud": 115200,
"bridge_enabled": true, // mirror chat between networks when both present
"bridge_meshcore_channel_to_meshtastic_channel": { "0": 0 },
"bridge_meshtastic_channel_to_meshcore_channel": { "0": 0 }
}
What works across both networks: slash commands, the AI assistant, every extension/plugin, the harmonized node map, DMs, channel/group messaging, and emergency broadcasts. The WebUI adapts automatically — a per-network connection banner, a node network filter with collapsible Meshtastic/MeshCore sections, network badges (📡 MT / 🟣 MC) on nodes and messages, distinct map markers, and a Network selector in the send form (Auto / Meshtastic / MeshCore / Both) that appears when both radios are present.
⚠️ MeshCore support is brand new and widely untested — please report your experience (any topology) on GitHub.
v0.7.0 ships a built-in MCP server that exposes MESH-API's core functions and its extensions as callable tools, so external AI agents and services — Claude, Perplexity, Hermes, custom agents, OpenClaw, etc. — can drive your Meshtastic and/or MeshCore networks as an agentic backend. This enables advanced workflows: an agent can read the mesh, decide, and act (send messages, run commands, trigger extensions) over LoRa.
Transport: Streamable HTTP / JSON-RPC 2.0 at a single endpoint, POST /mcp.
Implemented directly in Flask (no async/uvicorn dependency — runs fine on a Pi
Zero). Compatible with MCP clients that speak HTTP directly, or with stdio-only
clients (e.g. Claude Desktop) via the mcp-remote bridge.
Disabled by default. Enable it in the mcp block of config.json:
"mcp": {
"enabled": true,
"require_auth": true, // bearer token (auto-generated + printed on first start)
"auth_token": "", // leave blank to auto-generate; also accepted as X-API-Key
"allowed_origins": ["*"], // DNS-rebinding allowlist
"allow_emergency": false, // gate the emergency tool
"rate_limit_per_min": 120
}
On first start with auth enabled, a token like mesh-mcp-XXXX is generated,
saved to config, and printed to the log. Pass it as Authorization: Bearer <token>.
Point any MCP client at http://<host>:5000/mcp with the bearer token. For
Claude Desktop / stdio clients:
{
"mcpServers": {
"mesh-api": {
"command": "npx",
"args": ["-y", "mcp-remote", "http://<host>:5000/mcp",
"--header", "Authorization: Bearer mesh-mcp-YOURTOKEN"]
}
}
}
Every loaded extension's slash command is auto-exposed as an ext_cmd_<command>
tool — no work required. Extensions can additionally provide richer, typed
tools by implementing two optional, duck-typed methods (no base-class change):
def get_mcp_tools(self) -> list[dict]:
return [{
"name": "lookup_city", # exposed as ext_<slug>_lookup_city
"description": "Look up weather for a city",
"inputSchema": {"type": "object",
"properties": {"city": {"type": "string"}},
"required": ["city"]},
}]
def call_mcp_tool(self, name: str, arguments: dict) -> str:
if name == "lookup_city":
return self._weather_for(arguments.get("city", ""))
return f"Unknown tool: {name}"
The tool list is rebuilt on every tools/list, so enabling/reloading an
extension surfaces its tools without restarting MESH-API. See
DEVELOPING_EXTENSIONS.md for details.
Tool calls can send mesh traffic and trigger actions, so the server validates
inputs, requires a bearer token by default, validates the Origin header,
rate-limits calls, clamps output size, and gates the emergency tool. Treat the
token like a password. There should always be a human in the loop for sensitive
operations.
v0.7.0 adds a comprehensive, safe-by-default update system (firmware_updater.py):
pioEnv + version) and the MeshCore device (model + version).esptool.
nRF52/UF2 devices and MeshCore companions fall back to guided
web-flasher instructions (unattended flashing
there is unsafe). Enable with firmware.allow_flashing: true; optional
firmware.auto_update: true flashes ESP32 Meshtastic devices unattended."firmware": {
"auto_check": true,
"check_interval_sec": 86400,
"allow_flashing": false, // master gate for flashing
"auto_update": false, // never flashes unattended unless true
"meshtastic_channel": "stable", // stable | beta | alpha
"meshcore_channel": "stable",
"meshtastic_fw_repo": "meshtastic/firmware",
"meshcore_fw_repo": "meshcore-dev/MeshCore",
"mesh_api_repo": "mr-tbot/mesh-api"
}
⚠️ Flashing can brick a radio. Always keep a backup device, and prefer the web flasher unless you understand the risks. The radio goes offline during flashing.
v0.7.0 generalizes the old Home Assistant per-channel routing into Channel Agents: assign any mesh channel to a specific agent, and all plain-text (non-command) traffic on that channel is handled by it. Use it to dedicate a channel to OpenClaw, Hermes, Home Assistant, or any AI provider — on either Meshtastic or MeshCore.
Configure it in the top-level channel_agents block of config.json,
mapping a channel index (as seen by MESH-API) to an agent spec:
"channel_agents": {
"6": { "agent": "ai", "provider": "hermes" }, // ch6 → Hermes
"7": { "agent": "extension", "slug": "openclaw" }, // ch7 → OpenClaw agent
"5": { "agent": "ai", "provider": "home_assistant" }, // ch5 → Home Assistant
"8": { "agent": "ai", "provider": "openai", "require_pin": true }
}
agent: "ai" routes the channel to a named AI provider (openai, hermes,
ollama, claude, home_assistant, etc.) — independent of the global
ai_provider, so different channels can use different models.agent: "extension" routes to a loaded extension (e.g. openclaw) via its
handle_channel_message() hook, falling back to get_ai_response() or a
configured command. See DEVELOPING_EXTENSIONS.md.require_pin: true gates the channel behind a PIN=XXXX prefix (like the
Home Assistant secure mode).reply_in_channels setting. Slash commands still work normally there.home_assistant_channel_index setting continues to work and is
surfaced via GET /api/channel_agents.Channel indices differ between physical MeshCore devices — assign the agent to the index as MESH-API receives it (visible in the logs / message panel).
Note: The extensions system and all corresponding extensions are new and largely untested. Please report any issues on GitHub so they may be investigated and addressed.
MESH-API ships with 30 built-in extensions across 7 categories — Communication (Discord, Slack, Telegram, Matrix, Signal, WhatsApp, Mattermost, Zello, MQTT, Webhook, IMAP, Mastodon, n8n), Notifications (Apprise, Ntfy, Pushover, PagerDuty, OpsGenie), Emergency & Weather (NWS Alerts, OpenWeatherMap, USGS Earthquakes, GDACS, Amber Alerts, NASA Space Weather), Ham Radio & Off-Grid (Winlink, APRS, BBS), Smart Home (Home Assistant), Mesh Bridging (MeshCore — deprecated, now a core radio), and AI Agents (OpenClaw).
Each extension is a self-contained plugin in the extensions/ directory with its
own config.json, extension.py, and __init__.py. Quick start: enable any
extension by setting "enabled": true in its config.json and restarting MESH-API.
📦 Full per-extension command lists, config keys, and hooks are documented in EXTENSIONS.md. To build your own, see Developing Custom Extensions and DEVELOPING_EXTENSIONS.md.
🧩 The full extension-development guide now lives in its own file: DEVELOPING_EXTENSIONS.md.
MESH-API uses a plugin-based extension system where each extension is a
self-contained Python package in the extensions/ directory. Extensions can
register slash commands, send/receive mesh messages, react to emergencies,
observe all inbound traffic, expose Flask HTTP endpoints, run background
polling threads, and act as AI providers — all auto-discovered at startup with
no changes to core code.
To build one:
cp -r extensions/_example extensions/my_extension__init__.py (empty), config.json (must include "enabled": true), and extension.py (subclass BaseExtension)./extensions on the mesh to verify it's listed.📚 Full reference — the complete Base Class API, every lifecycle/message
hook, the app_context dict, a step-by-step tutorial, background-thread and
Flask-route patterns, best practices, and troubleshooting are all documented in
DEVELOPING_EXTENSIONS.md. For the catalog of the
30 built-in extensions and their config keys, see
EXTENSIONS.md.
API Integration Workflow (Planned)
MeshCore Routing Support (Initial Implementation — v0.6.0)
📜 The full version history has moved to CHANGELOG.md to keep this README short. It covers every release from v0.1 through the current v0.7.4.1 Beta, with both per-release summaries and detailed notes.
/ai-9z) — AI commands require the suffix: /ai-9z, /bot-9z, /query-9z, /data-9z followed by your message.commands_config.json./whereami-XY (replace XY with your suffix) to retrieve the node’s GPS coordinates (if available)./emergency <message> or /911 <message>.
/sms-9z <+15555555555> <message>"home_assistant_channel_index") are forwarded to Home Assistant’s conversation API.PIN=XXXX your message).The dashboard at http://<host>:5000/dashboard is the primary control surface.
Key panels:
0 → 📡 LongFast + 🟣 Public,
so you can see exactly which Meshtastic and MeshCore channels a bridged
send will hit.config.json,
commands_config.json, and motd.json from the browser (see below)./mycommand), a type (Static Response or AI Prompt), a response/prompt value, and a description. No manual JSON editing needed./api/channels endpoint.The Config Editor includes a grouped help panel. These are the main groups and what they cover:
/nodes-XY online window.m@i at the start of the message body. This is not configurable on purpose and is capped at 3 characters to conserve airtime.m@i) at the start of AI replies so other instances will ignore them.The MESH-API server (running on Flask) exposes the following endpoints:
/messages/nodes/connection_status/logs/logs_stream/dashboard/commands_info/config_editor/loadconfig.json, commands_config.json, and motd.json for the WebUI Config Editor./config_editor/save/send and POST /ui_send/discord_webhook⚙️ The full configuration reference now lives in CONFIGURATION.md.
Core MESH-API settings live in config.json — connection, AI provider, messaging, and emergency alerts. Most people never hand-edit it: the dashboard's ⚙️ Config editor and re-runnable 🧙 Setup Wizard cover every core setting (see Web UI / Dashboard).
CONFIGURATION.md documents the complete annotated default
config.json, the multi-radio blocks (meshtastic_enabled,
default_send_network, meshcore, mcp, firmware), and the other
operational settings (logging, device connection, message routing, AI provider
selection).
Note: Integration-specific settings (Discord, Home Assistant, Slack, Telegram, etc.) are configured per-extension in
extensions/<name>/config.json, not in the core config — see INTEGRATIONS.md and EXTENSIONS.md.
🔌 Integration setup guides now live in INTEGRATIONS.md.
MESH-API connects to external services for AI, alerting, and chat bridging:
Step-by-step setup for each lives in INTEGRATIONS.md. Chat-bridge integrations (Discord, Telegram, Matrix, Mattermost, etc.) are extensions — see EXTENSIONS.md.
MESH-API v0.7.4.1 Beta is here! The 0.7.x line treats MeshCore as a first-class radio alongside Meshtastic, adds a built-in MCP server for external AI agents, a firmware/software update manager, token-free AI-endpoint heartbeat monitoring (v0.7.3.6), the all-extensions-to-MeshCore routing fix (v0.7.3.7), the v0.7.4 MeshCore Setup Wizard, and — new in v0.7.4.1 — a revamped Send a Message composer (broadcast/direct tabs, multi-network targeting, a bridged dropdown showing both routed channels), a Previously Seen node section, and a MeshCore presence fix. All on top of the powerful 30-extension plugin system, 12 AI providers, and safer defaults. Whether you’re chatting directly with your node, integrating with Home Assistant, or leveraging multi‑channel alerting (Twilio, Email, Discord), this release offers the most comprehensive and extensible off‑grid AI assistant experience yet. Please report any issues on GitHub.
Enjoy tinkering, stay safe, and have fun!
Please share your feedback or report issues on GitHub.
MESH-API — Off-Grid AI & API Router & with MCP server & over 30 API extensions for Meshtastic & MeshCore - Seamlessly connect LM Studio, Ollama, AI Providers , 3rd-party APIs, Agents & Home Assistant
Resumen general
MESH-API — Off-Grid AI & API Router & with MCP server & over 30 API extensions for Meshtastic & MeshCore - Seamlessly connect LM Studio, Ollama, AI Providers , 3rd-party APIs, Agents & Home Assistant to your LoRa mesh. Supports custom commands, Twilio SMS, Discord channel routing, & GPS emergency alerts via SMS, email, or Discord + SO MUCH MORE
Herramientas
Aún no hay lista de herramientas. Los servidores remotos la reciben tras la primera comprobación de estado.
Preguntas frecuentes
Copia en esta página la configuración stdio para Cursor, Claude Desktop, Claude Code o VS Code. Usa la instalación del publicador, no un proxy de PlugMCP.
/messages, /nodes, /connection_status, /logs, /logs_stream, /send, /ui_send, /commands_info (JSON commands list), and a new /discord_webhook for inbound Discord messages.config.json, commands_config.json, and motd.json in a tabbed editor. JSON is validated before saving; writes are atomic. Some changes may require a restart to take effect.Este registro no indica ninguna variable de entorno obligatoria.
Mesh Api se ejecuta localmente por stdio.
Última comprobación: 2026-10-27. MESH-API — Off-Grid AI & API Router & with MCP server & over 30 API extensions for Meshtastic & MeshCore - Seamlessly connect LM Studio, Ollama, AI Providers , 3rd-party APIs, Agents & Home Assistant to your LoRa mesh. Supports custom commands, Twilio SMS, Discord channel routing, & GPS emergency alerts via SMS, email, or Discord + SO MUCH MORE
