Taco Street Locating MCP server
Which servers in the official MCP registry are Taco Street Locating's own, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.
read 2026-10-15
- Registry namecom.tacostreetlocating.ai/taco-street-locatingverified in the MCP registry
The registry name sits under tacostreetlocating.com. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.
- Stateanswerschecked 2026-10-15
- Tools9
- Server calls itselftaco-street-locating
- Server version1.5.0
- Protocol version2025-06-18
On 2026-10-15 the server answered initialize and tools/list without a sign-in. First answer in 104 ms.
- Whether its tools do the product's job has not been judged yet.
- Checked on 3 of the 7 days it takes to judge reliability.
Once connected
- create_shortlist change data without a sign-in: anyone with the address can call them.
Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.
- INITE MCP scoreafter a weeka score needs 7 daily checks: 3 so far
- Answeredmeasuring3 of the 7 daily checks it takes to print a share
- Median first answer124 ms
- Space in an agent's context≈ 2,659 tokensthe definitions of all its tools (9), which an agent carries on every turn
- Tool definitionsA · 100 of 100
- Typed results9 of 9 toolsdeclared outputSchema: results come typed, read once
- Every tool passes all six checks.
Worth a look
- Tools that change data, on a server that answers without a sign-in: create_shortlist
A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (30%), doing the product's job (25%), definitions (20%), context (10%) and use (15%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →
search_apartmentsSearch 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_helpHand 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…
get_apartment_detailsFull 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…
create_shortlistTurn 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_locatorAsk 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…
check_answerPoll the answer to an ask_a_locator question by question_id.
request_apartment_researchSubmit 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…
get_research_requestUse 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_toursAfter 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…
How to connect
Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:
{
"mcpServers": {
"taco-street-locating": {
"type": "http",
"url": "https://ai.tacostreetlocating.com/mcp"
}
}
}Add it
Claude Code, in a terminal
claude mcp add --transport http tacostreetlocating https://ai.tacostreetlocating.com/mcpclaude.ai, ChatGPT and other clients: add https://ai.tacostreetlocating.com/mcp as a custom connector in the settings.
Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.
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