Speechmatics MCP Server for LangChainGive LangChain instant access to 8 tools to Create Job, Create Temp Key, Delete Job, and more
GDPR Free for SubscribersLangChain is the leading Python framework for composable LLM applications. Connect Speechmatics through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
Ask AI about this MCP Server for LangChain
The Speechmatics MCP Server for LangChain is a standout in the Productivity category — giving your AI agent 8 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"speechmatics": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Speechmatics, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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.
LangChain's ecosystem of 500+ components combines seamlessly with Speechmatics through native MCP adapters. Connect 8 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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_jobsandget_job. - Usage & Security — Track your account consumption with
get_usageand generate temporary keys for secure client-side access usingcreate_temp_key.
The Speechmatics MCP Server exposes 8 tools through the Vinkius. Connect it to LangChain 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 LangChain
When LangChain 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 job on Speechmatics
Create a new batch transcription job
Create temp key on Speechmatics
Create a temporary API key
Delete job on Speechmatics
Delete a transcription job
Generate tts on Speechmatics
Generate speech from text (TTS)
Get job on Speechmatics
Get details for a specific job
Get transcript on Speechmatics
Retrieve the transcript for a job
Get usage on Speechmatics
Get usage statistics
List jobs on Speechmatics
List recent transcription jobs
Connect Speechmatics to LangChain via MCP
Follow these steps to wire Speechmatics into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Speechmatics MCP Server
LangChain provides unique advantages when paired with Speechmatics through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Speechmatics MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Speechmatics queries for multi-turn workflows
Speechmatics + LangChain Use Cases
Practical scenarios where LangChain combined with the Speechmatics MCP Server delivers measurable value.
RAG with live data: combine Speechmatics tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Speechmatics, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Speechmatics tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Speechmatics tool call, measure latency, and optimize your agent's performance
Example Prompts for Speechmatics in LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Speechmatics to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersSpeechmatics + LangChain FAQ
Common questions about integrating Speechmatics MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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