Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
MCP server wrapping the Tesla Fleet API and TeslaMate API
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Funciona en Claude para web, escritorio y móvil:
https://mcp.myteslamate.com/mcpEjecuta esto en tu terminal
claude mcp add --transport http tesla https://mcp.myteslamate.com/mcpPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"tesla": {
"url": "https://mcp.myteslamate.com/mcp"
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"tesla": {
"type": "http",
"url": "https://mcp.myteslamate.com/mcp"
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
ChatGPT solo se conecta a servidores en internet:
https://mcp.myteslamate.com/mcpLos nombres de los menús pueden variar un poco según el plan y con el tiempo.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Todavía no hemos leído la lista de herramientas de este servidor; revisamos los endpoints por turnos.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 8 nov 2026
Quien lo publicó (jlestel) no es el dueño del repo (MyTeslaMate); puede que otra persona lo haya listado
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Aún sin revisar; revisamos los endpoints por turnos
Aún sin revisar; revisamos los endpoints por turnos
Aún sin revisar; leemos la lista de herramientas cuando revisamos el endpoint
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 0 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en la nube del creador. Te conectas por internet sin instalar nada, pero lo que envías pasa por los servidores del creador.
El repo de GitHub cambió por última vez –, y la última versión (1.0.0) llegó al registro hace 7 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. Se conecta por URL, así que también funcionan las apps que aceptan servidores MCP remotos, como ChatGPT en modo desarrollador.
En la misma categoría: Spec Driven Development, Remote Desktop Commander, Readfirst
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:↓ Descargas por semanai★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
What to read and check before changing a file: project rules, risks, checks and tests per file.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
This repository provides a Model Context Protocol server that wraps both the Tesla Fleet API and the TeslaMate API. It includes vehicle endpoints, vehicle commands, energy endpoints (Powerwall/Solar), and charging endpoints. The implementation is modular and fully featured, exposing 98 MCP tools for the Tesla Fleet API and 9 MCP tools for the TeslaMate API.
This isn't just remote control — it's a conversational interface to your entire Tesla ecosystem. Express your use cases directly to your AI — describe what you want in plain language and let it figure out which tools to call, in what order, and with what parameters. No app to open, no menu to navigate.
*"My Powerwall is at 40%. Should I charge my car now or wait for solar production this afternoon?"*
*"Analyze my last 30 days of energy data — am I losing money by exporting to the grid while paying to charge at night?"*
*"Set the Powerwall backup reserve to 20% and schedule the car to charge from 2am to 6am at 16A."*
The AI can cross-reference your solar production, Powerwall state, grid rates, and vehicle battery level to give you a recommendation — and act on it immediately.
*"I have a road trip to Lyon next Thursday. Based on my usual efficiency, will I need to stop for charging? Find the best Supercharger on the route."*
*"Compare my energy consumption this month vs last month. What changed?"*
*"Pre-condition the car at 7:45am every weekday and set the charge limit back to 80% — it's currently at 100% from the trip."*
*"What's my average km/kWh over the last 3 months? Is it getting worse?"*
*"Show me my most expensive charging sessions this year and where they happened."*
*"How many hours per week is the car sitting with climate running? What's the energy cost?"*
*"Is my car locked and is Sentry mode on? I forgot to check before my flight."*
*"My car is parked downtown. Turn on Sentry mode and send me the current location."*
Beyond pre-built widgets, the server exposes a Generative UI capability so the AI can build interactive Prefab UI components on the fly to answer with charts, tables and metric cards — not just text.
*"Show me a bar chart of my charging cost per location for last month."*
*"Build a dashboard for this car: current SoC, last 7 drives, and battery health degradation."*
*"Compare my efficiency this winter vs last summer with two side-by-side metric cards."*
The AI uses generative_generate_prefab_ui to author Python code in a sandbox (Pyodide + Deno on the server); the resulting widget is rendered directly in your chat through a Skybridge-mime iframe — no template authoring on your side, no extra round-trip. The companion generative_search_prefab_components lookup tool keeps the LLM honest about component signatures.
It works equally well for Tesla Fleet API and TeslaMate users — the same generative tool is gated by either subscription.
The server also ships MCP Skills: markdown workflows the LLM reads on demand to chain tools into a coherent answer. The first one available is drive-efficiency-coach:
*"Run the drive efficiency coach for the last 30 days and show it as a report."*
The skill walks the AI through fetching your TeslaMate drives, computing Wh/km percentiles, identifying outliers, cross-referencing speed/temperature/trip-length, and rendering a Generative UI report (metric cards + outliers table + 1–3 actionable coaching insights anchored in your own numbers).
Skills are the easiest way to extend this server without touching Python. Pull requests welcome — drop a new directory under tesla_mcp/skills/ and SkillsDirectoryProvider picks it up automatically.
A good skill is:
teslamate_get_car_drives, energy_live_status, …) and the right arguments.generative_generate_prefab_ui render for analytics/reports; plain text for one-shot questions.Minimal layout:
tesla_mcp/skills/your-skill-name/
└── SKILL.md
SKILL.md starts with YAML frontmatter (name, description) followed by the workflow. See drive-efficiency-coach/SKILL.md as a reference.
Ideas waiting for an author:
charging-cost-breakdown — group last month's charges by location, surface cost-per-100kmweekly-tesla-digest — drives + charges + battery snapshot + software updates as a Monday-morning email-style reportrange-anxiety-checker — given a destination, cross-reference SoC, weather, elevation and recent efficiency to call out a stop or reassurehome-charging-window-finder — using TOU settings + recent charge sessions, find the cheapest 4-hour window to plug in tonightAvailable capabilities (98 tools for Tesla Fleet API + 9 for TeslaMate API + 2 Generative UI tools + skills):
drive-efficiency-coach) the AI reads on demand to chain tools into a coherent answerThe hosted server supports OAuth 2.0 Single Sign-On via Tesla's official authorization server. Compatible clients (ChatGPT, Claude.ai, VS Code…) trigger an automatic sign-in flow — no token copy-paste required.
MCP server URL: https://mcp.myteslamate.com/mcp
The server proxies the OAuth flow to
auth.tesla.com, then exchanges your Tesla token for a MyTeslaMate token transparently. Your Tesla credentials never touch this server.
ChatGPT supports native MCP connectors via Settings → Apps.
https://mcp.myteslamate.com/mcp
Tesla) and the MCP server URL: https://mcp.myteslamate.com/mcp
Note: OAuth-based SSO requires a MyTeslaMate account. The server validates your Tesla token and links it to your MTM subscription automatically.
Ready-to-use Claude Code skills for this MCP server are available in [myteslamate/tesla-skills](https://github.com/MyTeslaMate/tesla-skills).
Install the /tesla slash command in one step:
Then in Claude Code:
/tesla what is my battery level?
/tesla lock my car /tesla how much did I charge last month?
No installation required! Use the hosted MCP server directly. Two authentication options:
Simply provide the server URL and let the client handle the OAuth flow automatically (see sections above).
For clients that don't support OAuth, use your MyTeslaMate API token directly in the Authorization header.
Add both endpoints to your .vscode/mcp.json configuration to choose your preferred integration:
{
"servers": { "tesla": { "type": "http", "url": "https://mcp.myteslamate.com/mcp" } } }
tesla_fleet_api for direct access to Tesla's official Fleet API.teslamate for integration via TeslaMate API.Add endpoints in the MCP Connector configuration with the same URLs and headers as above.:
claude mcp add --transport http tesla-api "https://mcp.myteslamate.com/mcp"
Select the server according to your authentication method and API preference.
If you prefer to run your own instance, this repository also support TeslaMate API and Tesla Fleet API (Requires Tesla Developer Account and proper Fleet API registration).
tesla_mcp with a reusable TeslaClient.GET /api/1/vehicles - List vehiclesGET /api/1/vehicles/{vehicle_tag} - Get vehicle metadataGET /api/1/vehicles/{vehicle_tag}/vehicle_data - Get live vehicle dataPOST /api/1/vehicles/{vehicle_tag}/wake_up - Wake sleeping vehiclePOST /api/1/vehicles/fleet_status - Fleet statusGET /api/1/vehicles/{vehicle_tag}/mobile_enabled - Check mobile accessGET /api/1/vehicles/{vehicle_tag}/nearby_charging_sites - Nearby chargingGET /api/1/vehicles/{vehicle_tag}/service_data - Service dataGET /api/1/vehicles/{vehicle_tag}/release_notes - Firmware release notesGET /api/1/vehicles/{vehicle_tag}/recent_alerts - Recent alertsGET /api/1/dx/vehicles/options?vin={vin} - Vehicle optionsGET /api/1/dx/vehicles/upgrades/eligibility?vin={vin} - Eligible upgradesGET /api/1/dx/vehicles/subscriptions/eligibility?vin={vin} - Eligible subscriptionsGET /api/1/vehicles/{vehicle_tag}/drivers - List allowed drivers (owner only)DELETE /api/1/vehicles/{vehicle_tag}/drivers - Remove driver accessGET /api/1/vehicles/{vehicle_tag}/invitations - List active share invites (paginated)POST /api/1/vehicles/{vehicle_tag}/invitations - Create share invite (24hr expiry, single-use)POST /api/1/invitations/redeem - Redeem share invitePOST /api/1/vehicles/{vehicle_tag}/invitations/{id}/revoke - Revoke share inviteGET /api/1/vehicles/{vehicle_tag}/fleet_telemetry_config - Get fleet telemetry configSolo se muestra el principio; lee el resto en el repo