Gladia (Speech AI) MCP Server for LlamaIndexGive LlamaIndex instant access to 6 tools to Delete Transcription, Get Transcription, Init Live Session, and more

Name: Gladia (Speech AI)
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The Gladia (Speech AI) MCP Server for LlamaIndex is a standout in the Productivity category — giving your AI agent 6 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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+ other MCP clients

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 Gladia (Speech AI). "
            "You have 6 tools available."
        ),
    )

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

asyncio.run(main())

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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 Gladia (Speech AI) MCP Server

Connect Gladia to your AI agent to unlock enterprise-grade speech-to-text capabilities. Process audio files or live streams with advanced features like speaker diarization, multi-language translation, and automated summarization.

LlamaIndex agents combine Gladia (Speech AI) tool responses with indexed documents for comprehensive, grounded answers. Connect 6 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

Audio Processing — Upload local files to generate secure URLs for immediate transcription processing.
Advanced Transcription — Initiate jobs with speaker diarization (who said what), summarization, and translation across 100+ languages.
Audio-to-LLM — Apply custom LLM prompts directly to your audio data to extract specific insights or structured data.
Live Streaming — Initialize secure WebSocket sessions for real-time transcription of meetings or broadcasts.
Job Management — List, retrieve, and manage your transcription history and results directly through conversation.

The Gladia (Speech AI) MCP Server exposes 6 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 6 Gladia (Speech AI) tools available for LlamaIndex

When LlamaIndex connects to Gladia (Speech AI) through Vinkius, your AI agent gets direct access to every tool listed below — spanning speech-to-text, transcription, audio-analysis, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

delete

Delete transcription on Gladia (Speech AI)

Delete a transcription job

get

Get transcription on Gladia (Speech AI)

Get status and results of a transcription job

init

Init live session on Gladia (Speech AI)

Initiate a live transcription session

init

Init transcription on Gladia (Speech AI)

Start a pre-recorded transcription job

list

List transcriptions on Gladia (Speech AI)

List pre-recorded transcriptions

upload

Upload audio file on Gladia (Speech AI)

Upload an audio file to Gladia

Connect Gladia (Speech AI) to LlamaIndex via MCP

Follow these steps to wire Gladia (Speech AI) into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

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

Explore tools

The agent discovers 6 tools from Gladia (Speech AI)

Why Use LlamaIndex with the Gladia (Speech AI) MCP Server

LlamaIndex provides unique advantages when paired with Gladia (Speech AI) through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Gladia (Speech AI) tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Gladia (Speech AI) tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Gladia (Speech AI), a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Gladia (Speech AI) tools were called, what data was returned, and how it influenced the final answer

Gladia (Speech AI) + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Gladia (Speech AI) MCP Server delivers measurable value.

Hybrid search: combine Gladia (Speech AI) real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Gladia (Speech AI) to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Gladia (Speech AI) for fresh data

Analytical workflows: chain Gladia (Speech AI) queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Gladia (Speech AI) in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Gladia (Speech AI) immediately.

"List my 5 most recent transcription jobs."

"Start a transcription for this audio URL with summarization enabled: https://example.com/audio.mp3"

"I need a WebSocket URL to start a live transcription session in 16000Hz."

Troubleshooting Gladia (Speech AI) MCP Server with LlamaIndex

Common issues when connecting Gladia (Speech AI) to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Gladia (Speech AI) + LlamaIndex FAQ

Common questions about integrating Gladia (Speech AI) MCP Server with LlamaIndex.

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.

Can I combine MCP tools with vector stores?

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

Does LlamaIndex support async MCP calls?

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

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