Speechmatics MCP Server for LlamaIndexGive LlamaIndex instant access to 8 tools to Create Job, Create Temp Key, Delete Job, and more

Name: Speechmatics
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 Speechmatics 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 Speechmatics MCP Server for LlamaIndex is a standout in the Productivity category — giving your AI agent 8 tools to work with, ready to go from day one.

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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 Speechmatics. "
            "You have 8 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Speechmatics?"
    )
    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 Speechmatics MCP Server

Connect Speechmatics to your AI agent to handle advanced audio processing workflows. This server enables high-accuracy transcription and natural-sounding speech synthesis through a simple interface.

LlamaIndex agents combine Speechmatics tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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

Batch Transcription — Submit audio via URL or base64 and process large files with industry-leading accuracy using create_job.
Text-to-Speech (TTS) — Convert text into natural human speech using high-quality voices like Sarah, Theo, Megan, or Jack via generate_tts.
Transcript Retrieval — Export completed transcriptions in multiple formats including JSON, plain text, or SRT subtitles using get_transcript.
Job Management — Monitor the status of your processing tasks, list recent activity, and manage resources with list_jobs and get_job.
Usage & Security — Track your account consumption with get_usage and generate temporary keys for secure client-side access using create_temp_key.

The Speechmatics MCP Server exposes 8 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 8 Speechmatics tools available for LlamaIndex

When LlamaIndex connects to Speechmatics through Vinkius, your AI agent gets direct access to every tool listed below — spanning speech-to-text, transcription, text-to-speech, 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.

create

Create job on Speechmatics

Create a new batch transcription job

create

Create temp key on Speechmatics

Create a temporary API key

delete

Delete job on Speechmatics

Delete a transcription job

generate

Generate tts on Speechmatics

Generate speech from text (TTS)

get

Get job on Speechmatics

Get details for a specific job

get

Get transcript on Speechmatics

Retrieve the transcript for a job

get

Get usage on Speechmatics

Get usage statistics

list

List jobs on Speechmatics

List recent transcription jobs

Connect Speechmatics to LlamaIndex via MCP

Follow these steps to wire Speechmatics 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 8 tools from Speechmatics

Why Use LlamaIndex with the Speechmatics MCP Server

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

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

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

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

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

Speechmatics + LlamaIndex Use Cases

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

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

Data enrichment: query Speechmatics 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 Speechmatics for fresh data

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

Example Prompts for Speechmatics in LlamaIndex

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

"Transcribe the audio file at this URL: https://example.com/audio.mp3"

"Generate an audio file of Sarah saying 'Welcome to the future of speech technology'."

"List my 5 most recent transcription jobs."

Troubleshooting Speechmatics MCP Server with LlamaIndex

Common issues when connecting Speechmatics to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Speechmatics + LlamaIndex FAQ

Common questions about integrating Speechmatics 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 Speechmatics tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.