Server data from the Official MCP Registry
Unofficial integration! ## ✨ Key Features ### 💰 Financial Intelligence - **Smart Charging Cost An…
About
Unofficial integration! ## ✨ Key Features ### 💰 Financial Intelligence - **Smart Charging Cost An…
Remote endpoints: streamable-http: https://server.smithery.ai/@keithah/tessie-mcp/mcp
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
Endpoint verified · Requires authentication · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"ai-smithery-keithah-tessie-mcp": {
"url": "https://server.smithery.ai/@keithah/tessie-mcp/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
Tessie MCP
Personal, self-hosted MCP access to Tessie. It is a Streamable HTTP server at /mcp, designed for one owner and protected by a static bearer token.
Setup
- Generate a Tessie access token at https://dash.tessie.com/settings/api.
- Create
.envfrom.env.exampleand generateMCP_AUTH_TOKENwithopenssl rand -base64 48. - Start the service:
docker compose up -d --build. - Configure an MCP client with URL
http://127.0.0.1:3000/mcpand headerAuthorization: Bearer <MCP_AUTH_TOKEN>.
TESSIE_API_KEY never leaves the server. Passing vin to get_vehicle selects and persists the default vehicle; later calls can omit it.
Tools
list_vehicles, get_vehicle, analyze_history, get_driving_path, and vehicle_command. History analysis defaults to 90 days. Autopilot/FSD values are Tessie's native autopilot_distance and historical autopilot telemetry; they do not uniquely prove FSD usage.
Remote access
For a temporary URL without a tunnel token, run the app locally then execute cloudflared tunnel --url http://127.0.0.1:3000. For a stable named tunnel, set TUNNEL_TOKEN in .env and run docker compose -f docker-compose.yml -f docker-compose.tunnel.yml up -d.
The app bearer token remains required even behind Cloudflare.
Nginx
Use examples/nginx.conf; preserve the Authorization header, disable buffering, and use long timeouts.
Caddy
Use examples/Caddyfile; it forwards headers and supports streaming by default.
Smoke check
curl http://127.0.0.1:3000/healthz verifies liveness. The server has no command-line operation that invokes vehicle commands.
Reviews
No reviews yet
Be the first to review this server!
More Developer Tools MCP Servers
Git
Freeby Modelcontextprotocol · Developer Tools
Read, search, and manipulate Git repositories programmatically
Fetch
Freeby Modelcontextprotocol · Developer Tools
Web content fetching and conversion for efficient LLM usage
Toleno
Freeby Toleno · Developer Tools
Toleno Network MCP Server — Manage your Toleno mining account with Claude AI using natural language.
mcp-creator-python
Freeby mcp-marketplace · Developer Tools
Create, build, and publish Python MCP servers to PyPI — conversationally.
MCP Marketplace
Freeby mcp-marketplace · Developer Tools
Search and install MCP servers from inside your AI client.
MarkItDown
Freeby Microsoft · Content & Media
Convert files (PDF, Word, Excel, images, audio) to Markdown for LLM consumption
