# Taco Street Locating Muse connector

From musedirectory.ai, the independent directory of Meta Muse connectors. Not affiliated with Meta.

## Taco Street Locating

Find apartments in Austin, Dallas or Houston with free human locator support and tour booking.

- Record: https://musedirectory.ai/connector/taco-street-locating
- Category: Shopping & Commerce
- Developer: Taco Street Locating (https://ai.tacostreetlocating.com)
- Muse status: Extra setup. Not in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
- Health: Working, 904ms, checked 2026-09-28T09:01:32Z
- Endpoint: https://ai.tacostreetlocating.com/mcp
- Auth: No account needed; Pricing: unknown
- Screening: Screened, no issues found (2026-09-24T20:15:47Z)
- Source: Found in the official MCP Registry (com.tacostreetlocating.ai/taco-street-locating) https://registry.modelcontextprotocol.io/v0/servers?search=com.tacostreetlocating.ai%2Ftaco-street-locating

Search curated apartment inventory across Austin, Dallas and Houston with AI-scored matches. Get detailed building info, save shortlists, ask human locators real-time questions about availability and specials, and request free tour coordination. Properties pay locators, not renters.

Example request: "Find me a dog-friendly, walkable apartment near downtown Austin under $1,500 a month and book some tours."

How to connect: Not in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use Taco Street Locating to help me. It is a free service with an MCP server at https://ai.tacostreetlocating.com/mcp. It does not need an API key. Ask me before you share anything with it." Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.

Tools:
- search_apartments: Search Taco Street's curated apartment inventory in Austin, Dallas or Houston, TX. Returns scored matches with starting prices and a short 'why' per building. Use for long-term rentals only.
- request_locator_help: Hand the renter to Alexander, Taco Street's human locator, who confirms live pricing/availability and books tours — free to renters (properties pay locators). Follow-up arrives by TEXT or EMAIL, never a cold call. Requires the renter's real phone or email, shared with their conse
- get_apartment_details: Full fact sheet for one building: floorplan-level pricing with as-of dates, move-in costs (admin/application/parking/pet fees), last-known specials (dated — treat as last-known, not current), amenities, walkability, virtual tour. Use the EXACT name from search_apartments. Compute
- create_shortlist: Turn finalist apartments into a Taco Street link (/my-list?s=...) that opens the renter's saved list with those buildings added — compare, AI Read, and free tour requests live there. Use the EXACT names returned by search_apartments.
- ask_a_locator: Ask a question only a human can answer — current specials, real availability, lease flexibility, 'is the pool actually open'. A human locator replies during Central Time business hours, usually within a few hours. STRONGLY include the renter's contact: the answer is texted/emaile
- check_answer: Poll the answer to an ask_a_locator question by question_id.
- request_apartment_research: Submit a saved shortlist and renter brief to Taco Street with consent. Staff accepts the request before paid research starts; VAs verify gaps, then Alexander adds his judgment. Returns a private continuation link. No immediate report, guaranteed completion time, or tour booking. 
- get_research_request: Use the private request key to retrieve progress and, after Alexander approves, the reviewed report snapshot. No draft, contact details or internal notes are returned. Do not share the key or continuation link publicly.
- request_research_tours: After report approval and explicit renter consent, request human tour coordination for selected apartments. Include preferred dates, times and timezone in preferred_times. Uses the existing private research key and contact. One handoff per research report; identical retries retur

Screening checks:
- MCP handshake: pass (Answered in 672ms)
- Domain against threat feeds (Cloudflare security DNS): pass (ai.tacostreetlocating.com not flagged)
- Published packages against the OSV malicious-package database: n/a (No npm or PyPI package published)
- Hidden instructions or invisible characters in tool text: pass (9 tools read, nothing found)
- Inputs asking for passwords, card numbers or seed phrases: pass (None found)
- Domain and redirects: pass (No redirects off the domain)
- AI review of purpose and tool behavior: pass (No concerns)