Tesla Fleet API Connector for Muse
Control Tesla vehicles through the official Tesla Fleet API: read live vehicle state, wake a sleeping car, and send signed commands (lock/unlock, keyless drive, charge control, preconditioning, honk/flash, trunk, sentry/valet, speed limit, navigation).
- What
- Control Tesla vehicles through the official Tesla Fleet API: read live vehicle state, wake a sleeping car, and send signed commands (lock/unlock, keyless drive, charge control, preconditioning, honk/flash, trunk, sentry/valet, speed limit, navigation).
- Cost
- Free
- Needs
- A Tesla developer app (approved, with legal business details, verified domain ownership, and a hosted public key) plus per-vehicle virtual-key pairing, with OAuth 2.0 authorization (scopes `openid offline_access vehicle_device_data vehicle_cmds vehicle_charging_cmds vehicle_location`), kept in your Muse's secure vault (never paste secrets here). Note: Tesla bills pay-per-use (~$1/1,000 commands, ~$1/500 data requests, ~$1/50 wakes) β no free tier; poll sparingly. HIGH actuations (lock/unlock, keyless drive) need explicit confirmation every time; MEDIUM actuations confirm on first use per vehicle.
- Install
- Copy the installer prompt below into your Muse β your agent does the rest.
π³ Paid API required: this connector needs a paid third-party API β the listing is free, but usage is billed. See Prerequisites for costs. Curated by Skill Harbor β a free, open-source build (MIT) by @bluman1, listed here with credit to its creator. A Muse agent skill that controls Tesla vehicles through the official Tesla Fleet API: read live vehicle state, wake a sleeping car, and send signed commands. HIGH actuations (lock/unlock, keyless driving) need explicit confirmation on every call, naming the exact physical effect β no standing permission, no exceptions; MEDIUM actuations (charge, sentry/valet, speed limit) confirm on first use per vehicle. Tesla bills pay-per-use (roughly $1 per 1,000 commands, $1 per 500 data requests, $1 per 50 wakes; a $10/month credit covers light individual use) β no free tier; poll sparingly. Heaviest onboarding of the batch: developer app approval needs legal business details, verified domain ownership, and a hosted public key, plus per-vehicle virtual-key pairing. OAuth 2.0, token kept in Muse's secure vault. Draft: written from Tesla's public Fleet API docs, not yet live-tested end-to-end β this listing's unverified status reflects that. No secrets in the repo.
Version:
Install
Prerequisites: A Tesla developer app (approved, with legal business details, verified domain ownership, and a hosted public key) plus per-vehicle virtual-key pairing, with OAuth 2.0 authorization (scopes `openid offline_access vehicle_device_data vehicle_cmds vehicle_charging_cmds vehicle_location`), kept in your Muse's secure vault (never paste secrets here). Note: Tesla bills pay-per-use (~$1/1,000 commands, ~$1/500 data requests, ~$1/50 wakes) β no free tier; poll sparingly. HIGH actuations (lock/unlock, keyless drive) need explicit confirmation every time; MEDIUM actuations confirm on first use per vehicle. No GitHub account needed unless listed here. Install "Tesla Fleet API Connector for Muse" for me. A Muse agent skill that controls Tesla vehicles through the official Tesla Fleet API: read live vehicle state, wake a sleeping car, and send signed commands (lock/unlock, keyless drive, charge control, preconditioning, honk/flash, trunk, sentry/valet, speed limit, navigation). Repository: https://github.com/bluman1/muse-connectors/tree/main/connectors/tesla-fleet-api 1. Fetch the SKILL.md file (and any helper files) from the repository path into a temporary folder and summarize what it does in one or two sentences. 2. Safety check: review the SKILL.md and scripts for anything suspicious (unexpected network calls, shell commands, credential harvesting). This repo should contain zero secrets in code, credentials only via the secure vault, allowed hosts declared in the SKILL.md. Verify that holds here; STOP on any red flag and tell me. 3. Install it as a skill: copy SKILL.md and its helper files into the agent's skills directory, in a folder named "tesla-fleet-api". 4. Verify with no network calls: frontmatter valid, files in place. 5. Report what was installed, where, and what I still need to do myself (e.g. get my Tesla developer app approved, pair each vehicle, and save the OAuth credential in the vault). GitHub is optional: if I have a GitHub account or the gh CLI, you may use it; otherwise public access is fine. Never require it unless it's in the prerequisites above. Rules: don't touch anything outside the temp folder and the install target. If anything looks off, stop and ask me.
Questions
How do I install a skill?
Every product page includes a copy-paste install prompt. Paste it into your Muse and it sets the skill up for you β no manual configuration.
Where does my money go?
Straight to the seller. Skill Harbor never processes payments: checkout happens on the sellerβs own page, usually Stripe.
What does the β next to a creatorβs name mean?
It means we confirmed the identity of the person behind the listing. It says nothing about the code itself β always check a skill before installing it.