eCommerce
entervista.ai
MCP server for finding local service businesses, comparing verified services and prices, checking service areas, and retrieving requirements to facilitate quotes, orders, or bookings.
ENDPOINT 1
https://entervista.ai/mcp
MCP server metadata
- Name
- entervista
- Version
- 0.2.0
Entervista is a network of local businesses set up for AI assistants. Use it to actually finish tasks like "get me a smoothie" or "fix my sink" instead of sending the person to an app. Service businesses (plumbers etc.): search_businesses -> check_service_area(zip) -> get_service_requirements(slug, service_sku) to learn exactly which questions to ask the customer -> place_service_request with intake_answers + customer + preferred_time (+ slot_start from get_availability for fixed-price work) -> show the customer the total/estimate -> approve_request when they say yes -> get_request_status until booked/confirmed -> later the business may send final_quote_ready (after diagnosis): show it, approve_request again. Food/retail: search_businesses -> get_business -> place_order -> approve_request -> get_request_status. When a business can't take the job (booked, outside its area, service not offered), the error may include referrals[]: businesses it trusts and sends customers to, already on Entervista. Offer that to the customer instead of giving up, and pass referred_by when you place the request there. search_businesses results carry state: "live" businesses have an authoritative schedule and can be booked; "listing" ones are public info only (name, phone, hours): never quote prices or times for them, give the phone. Rules: never approve without the customer saying yes. Every error is structured (code, message, missing, alternatives, hint): act on it, don't give up. MISSING_INFORMATION lists the exact questions still needed. Keep the customer_token; it's what lets you approve or cancel.
Known tools 14
get_businessFull agent-readable profile: verified identity and license, services with real prices (what's included / excluded), hours, service zips, delivery rules, policies, and exactly how to act (order, quote, or book).
Inferred read-onlyget_servicesThe business's services with pricing mode (fixed | starting_at | range | diagnostic_fee_then_quote | quote_required), price, what's included/excluded, and which intake fields are required.
Inferred read-onlycheck_service_areaDeterministic yes/no: does this business come to the customer's zip?
Inferred read-onlyget_service_requirementsBefore creating a request: the exact questions to ask the customer for this service (required_fields / optional_fields, each with type and options), the pricing flow, and what happens next.
Inferred read-onlyupload_photoStores an image and returns a URL to pass in photos[] of place_service_request.
Inferred read-onlyget_availabilityLive bookable windows over the next days, from the business's own schedule (hours, crew, jobs, holds, blocks).
Inferred read-onlyapprove_requestUse only after the customer explicitly approves the total / quote / final price.
Inferred read-onlyget_request_statusCurrent status, ETA / arrival window, business response, and the next step.
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.entervista]
url = "https://entervista.ai/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"entervista": {
"type": "http",
"url": "https://entervista.ai/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: entervista
Remote MCP URL: https://entervista.ai/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"entervista": {
"url": "https://entervista.ai/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"entervista": {
"type": "http",
"url": "https://entervista.ai/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "entervista",
"transport": "streamable-http",
"url": "https://entervista.ai/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Trust Data Available
BuiltWith Trust API v2 evidence for entervista.ai was fetched 2026-10-03T07:10:39.880Z.
entervista.ai is assessed as Neutral: No suspicious signals found, but no strong positive signal either
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.