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CAMB.AI MCP Server for LlamaIndexGive LlamaIndex instant access to 10 tools to Create Dubbing, Create Tts, Create Voice Clone, and more

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add CAMB.AI as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Ask AI about this App Connector for LlamaIndex

The CAMB.AI app connector for LlamaIndex is a standout in the Artificial Intelligence category — giving your AI agent 10 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to CAMB.AI. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in CAMB.AI?"
    )
    print(response)

asyncio.run(main())
CAMB.AI
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About CAMB.AI MCP Server

Connect your CAMB.AI account to any AI agent and take full control of your high-fidelity audio localization and voice generation workflows through natural conversation.

LlamaIndex agents combine CAMB.AI tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

  • Text-to-Speech (TTS) Orchestration — Generate high-fidelity speech from text using MARS-8 models with ultra-low latency programmatically through your agent
  • Professional Dubbing & Translation — Programmatically translate and dub video or audio files into 140+ languages while preserving original emotional nuances
  • Voice Cloning Architecture — Create custom digital twins of any voice from short samples and retrieve your directory of custom cloned voices in real-time
  • Global Communication Intelligence — Access comprehensive directories of source and target languages to perfectly coordinate cross-border content delivery
  • Operational Monitoring — Track the real-time status of generation jobs and retrieve high-fidelity results directly through your agent for instant reporting

The CAMB.AI MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 10 CAMB.AI tools available for LlamaIndex

When LlamaIndex connects to CAMB.AI through Vinkius, your AI agent gets direct access to every tool listed below — spanning dubbing, text-to-speech, voice-cloning, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_dubbing

Create a dubbing or translation job

create_tts

Returns a task ID to track progress. Create a Text-to-Speech task

create_voice_clone

Create a custom voice clone

get_job_status

Check the status of a dubbing job

get_tts_result

Get the result of a completed TTS task

get_tts_status

Check the status of a TTS task

list_cloned_voices

List all custom cloned voices

list_source_languages

List supported source languages

list_target_languages

List supported target languages

list_voices

List all available voices

Connect CAMB.AI to LlamaIndex via MCP

Follow these steps to wire CAMB.AI into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 10 tools from CAMB.AI

Why Use LlamaIndex with the CAMB.AI MCP Server

LlamaIndex provides unique advantages when paired with CAMB.AI through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine CAMB.AI tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain CAMB.AI tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query CAMB.AI, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what CAMB.AI tools were called, what data was returned, and how it influenced the final answer

CAMB.AI + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the CAMB.AI MCP Server delivers measurable value.

01

Hybrid search: combine CAMB.AI real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query CAMB.AI to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying CAMB.AI for fresh data

04

Analytical workflows: chain CAMB.AI queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for CAMB.AI in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with CAMB.AI immediately.

01

"List all available voices for Text-to-Speech in CAMB.AI."

02

"Generate speech for 'Hello world' using voice ID 1 and language 'en-us'."

03

"Dub video 'https://vinkius.com/promo.mp4' from English (ID: 1) to French (ID: 4)."

Troubleshooting CAMB.AI MCP Server with LlamaIndex

Common issues when connecting CAMB.AI to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

CAMB.AI + LlamaIndex FAQ

Common questions about integrating CAMB.AI MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query CAMB.AI tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.