Tesla Fleet API
This Tesla MCP server connects to the Tesla Fleet API, allowing AI assistants like Claude to control and monitor Tesla vehicles. Built with TypeScript and the Model Context Protocol SDK, it provides tools for waking vehicles from sleep mode, retrieving vehicle information, and refreshing vehicle data in real-time. The implementation uses OAuth 2.0 authentication with Tesla's API and requires users to register their application through Tesla's Partner Accounts API. While current functionality is limited to REST API endpoints that remain active after Tesla's 2023 API deprecations, the server is designed for Tesla owners who want to integrate their vehicles with AI assistants for convenient voice-controlled monitoring and basic control.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- monitoring
- Source
- PulseMCP
- Repository
- github.com/scald/tesla-mcp
- Author type
- human
- Updated
- 2026-04-25
Use via MCP
Resolve Tesla Fleet API from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.