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Last probed Nov 3, 2026 · vinkershosting.in
16tools discovered
For AI agents — MCPBundles Directory API
For MCP client apps (human connect):
MCP connect URL: https://vinkershosting.in/api/v1/mcp
Skill page: https://www.mcpbundles.com/skills/vinkershosting-mcp-666d95eeb1
Explore capabilities (16)
read 13
write 2
other 1
List
7
Get
4
Create
2
Other capabilities
3
Create Workflow
write
create_workflow
Parse SDK TypeScript and create a new published workflow.
`code` is TypeScript source using `@dograh/sdk`. The workflow name
comes from `new Workflow({ name: "..." })` — it is required.
Example code:
import { Workflow } from "@dograh/sdk";
import { startCall, endCall } from "@dograh/sdk/typed";
const wf = new Workflow({ name: "lead_qualification" });
const greeting = wf.addTyped(startCall({ name: "Greeting", prompt: "Hi!" }));
const done = wf.addTyped(endCall({ name: "
Description may be truncated on the public preview.
Create Workflow — Parse SDK TypeScript and create a new published workflow.
`code` is TypeScript source using `@dograh/sdk`. The workflow name
comes from `new Workflow({ name: "..." })` — it is required.
Example code:
import { Workflow } from "@dograh/sdk";
import { startCall, endCall } from "@dograh/sdk/typed";
const wf = new Workflow({ name: "lead_qualification" });
const greeting = wf.addTyped(startCall({ name: "Greeting", prompt: "Hi!" }));
const done = wf.addTyped(endCall({ name: "
Create Tool — Create a reusable tool the agent can invoke during calls.
The request schema is the same `CreateToolRequest` used by the REST API
and generated SDKs. Use it to create HTTP API, end-call, transfer-call,
calculator, or MCP-server tools. For authenticated HTTP or MCP tools,
reference an existing `credential_uuid` from `list_credentials`; users
create credential secrets in the UI, and this flow only stores the UUID
reference. For MCP tools, the server best-effort discovers the remote
tool catalog a
Get Node Type — Fetch the authoring schema for a node type: each property's name,
type, default, requiredness, enum options, validation bounds, and
LLM-readable description, plus worked examples and graph constraints.
UI-only metadata (display labels, placeholders, conditional visibility
rules, renderer hints) is intentionally omitted — set only the fields
you need. Use the property `description`/`llm_hint` and the `examples`
list to understand semantics; types alone are not enough.
Get Workflow — Fetch a single agent by id, projected into the SDK code view.
Output shape:
{"id": int, "name": str, "status": str, "version": "draft" | "published" | "legacy", "version_number": int | None, "code": "<TS source>"}
Get Workflow Code — Return the workflow as SDK TypeScript code the LLM can edit.
Output shape:
{"code": "<TS source>", "workflow_id": int, "version": "draft" | "published" | "legacy"}
The LLM edits `code`, then calls `save_workflow(workflow_id, code)`.
List Credentials — List external credentials available for webhook auth and pre-call fetch.
Returns each credential's `credential_uuid` (use this in node
`credential_uuid` / `pre_call_fetch_credential_uuid` properties), `name`,
`description`, and `credential_type`.
Get your MCP into directories
A working endpoint is step one. Directory coverage is the coordinated launch across ChatGPT, Claude, Cursor, the MCP Registry, and community indexes.
What is the DCXworks Voice AI Platform MCP server?
Build, test, and deploy voice AI agents
How do I connect DCXworks Voice AI Platform to my AI agent?
Use the MCP endpoint listed on this page in your MCP client configuration. One-click install pills support Claude, Cursor, VS Code, and other hosts. Copy the remote MCP URL if your client needs a manual entry.
How many tools does DCXworks Voice AI Platform provide?
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List Documents — List knowledge-base documents the agent can reference during a call.
Returns each document's `document_uuid` (use this in node
`document_uuids` properties), `filename`, and `processing_status`.
List Node Types — List every available node type with a brief summary.
Use this first to discover what nodes exist, then call `get_node_type`
for the full schema of any node you intend to use.
Returns:
A dict with `spec_version` (pin against this in any generated workflow
code) and `node_types` (list of {name, display_name, description,
category}).
List Recordings — List pre-recorded audio files available for greetings and edge
transition speech.
Returns each recording's `recording_id` (use this in
`greeting_recording_id` / `transition_speech_recording_id` properties),
`transcript`, and TTS metadata. Pass `workflow_id` to filter to one
workflow's recordings.
List Tools — List tools the agent can invoke during a call.
Returns each tool's `tool_uuid` (use this in node `tool_uuids` properties),
`name`, `description`, and `category`. Pass `status=None` to include
archived tools.
List Workflows — List agents (workflows) in the caller's organization.
Returns id, name, status, and created_at for each agent. Use
`get_workflow` to fetch a single agent's current SDK view and
metadata. Defaults to active agents; pass `status="archived"` to
list archived agents, or `status=None` to list all.
Save Workflow — Parse SDK TypeScript and save the resulting workflow as a draft.
`code` is TypeScript source using `@dograh/sdk`. Fetch the current
code first via `get_workflow_code(workflow_id)`, edit it, then pass
the full updated source here.
Example code:
import { Workflow } from "@dograh/sdk";
import { startCall, endCall } from "@dograh/sdk/typed";
const wf = new Workflow({ name: "lead_qualification" });
const greeting = wf.addTyped(startCall({ name: "Greeting", prompt: "Hi!" }));
co
Get Voice Prompting Guide — Fetch staged voice-prompting guidance for authoring Dograh workflows.
Call this BEFORE composing or revising any prompt field on a node. The
guide is the authoritative source for prompt-authoring craft (global
guidelines, turn-taking, tool calls, success criteria, guardrails);
product-mechanics questions
(how a node type works at runtime) belong in `search_docs` / `read_doc`.
List Docs — Browse the Dograh docs hierarchy before reading a page in full.
``path`` addresses navigation sections exposed by this tool. Page paths
returned by ``search_docs`` and ``read_doc`` are the published docs routes
instead, for example ``voice-agent/tools/mcp-tool``.
Read Doc — Read one docs page after you have narrowed to a likely match.
Search Docs — Search the Dograh documentation and return a lean ranked shortlist.
Use this first for keyword or acronym lookup. Once the right page looks
likely, call ``read_doc(path)`` instead of reasoning from summaries alone.
MCPBundles probed 16 tools on the live server. The tool list on this page reflects what was discovered at the last refresh — connect your client to see the full set available to your session.
What authentication does DCXworks Voice AI Platform require?
DCXworks Voice AI Platform may require signing in to the provider before tools can run. Connect through MCPBundles or your MCP client and complete any provider login when prompted.
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