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Vocenya Docs

Search and retrieve docs pages and endpoint samples

698 ms

answered our call

State
Answered
Protocol
MCP 2025-06-18
Tools listed
4
Answered
4 of the last 4 calls

How to reach it

  • MCP, HTTPhttps://vocenya.com/mcp/docs

What it can do

ToolWhat it says it does
get_doc_pageGet one page of the Vocenya developer docs as Markdown, exactly as published. Slugs: "index", a guide like "quickstart", "authentication", "webhooks", "webhook-events", "outbound-calls", "live-chat" or "mcp", "reference" for the API overview, or "reference/leads" for a resource's endpoints. Use…
get_endpointGet one Vocenya API endpoint in full, as Markdown: its scope, path and query parameters, request body, responses, response attributes and code samples in cURL, Node, PHP and Python. Example: method "POST", path "/leads".
list_endpointsList the endpoints of the Vocenya REST API with their method, path, summary and required scope, grouped by resource. Pass a tag (resource) like "Leads" or "Webhooks" to list one resource. Get the details of one with get_endpoint.
search_docsSearch the Vocenya developer docs: guides (authentication, webhooks, pagination, outbound calling rules, live chat, MCP) and every API endpoint. Returns the best matches with their page URL; read one with get_doc_page or get_endpoint.

In its maker's words

Read-only search over the Vocenya AI receptionist API docs and endpoints, with code samples.

Website
vocenya.com/docs/mcp
Source
github.com/gadyamedia/vocenya-mcp
Publisher
vocenya.com (3 listings in the registry)
Listed from
the official MCP Registry as com.vocenya/docs
Version
1.0.0, updated 4 Oct 2026
Kinds of work
Search and research, Documents and files, Writing and translation

The domain it lives on

vocenya.com
registered 29 Sep 2026 (1 month ago), at Cloudflare, Inc., its home page is a working site

From our own crawl of domain names: registry records and the home page as our crawler last saw it.

Every call we made

WhenWhat happenedTime
Answered698 ms
Answered603 ms
Answered417 ms
Answered417 ms

Next door

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