4,000+ servers built on vurb.ts
Vinkius
LangChainFramework
Speechmatics MCP Server

Bring Speech To Text
to LangChain

Learn how to connect Speechmatics to LangChain and start using 8 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Create JobCreate Temp KeyDelete JobGenerate TtsGet JobGet TranscriptGet UsageList Jobs

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Speechmatics

What is the 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.

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.

How it works

  1. Subscribe to this server
  2. Enter your Speechmatics API Key
  3. Start transcribing audio or generating speech directly from Claude, Cursor, or any MCP client

Who is this for?

  • Content Creators — Automatically generate subtitles (SRT) for videos or transcribe podcasts in seconds.
  • Developers — Integrate speech capabilities into apps without managing complex audio infrastructure.
  • Data Analysts — Convert large volumes of recorded meetings or calls into searchable text for analysis.

Built-in capabilities (8)

create_job

Create a new batch transcription job

create_temp_key

Create a temporary API key

delete_job

Delete a transcription job

generate_tts

Generate speech from text (TTS)

get_job

Get details for a specific job

get_transcript

Retrieve the transcript for a job

get_usage

Get usage statistics

list_jobs

List recent transcription jobs

Why LangChain?

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.

  • 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

See it in action

Speechmatics in LangChain

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Speechmatics and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Speechmatics to LangChain through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Speechmatics in LangChain

The Speechmatics 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. All 8 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in LangChain only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Speechmatics
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

The Vinkius Advantage

How Vinkius secures Speechmatics for LangChain

Every tool call from LangChain to the Speechmatics MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

What formats can I get my transcripts in?

You can use the get_transcript tool to retrieve results in json, txt, or srt (subtitle) formats. Simply specify the format parameter when calling the tool.

02

Which voices are available for Text-to-Speech?

The generate_tts tool supports four high-quality voices: sarah, theo, megan, and jack. You can choose the one that best fits your content's tone.

03

How do I check if my transcription job is finished?

Use the get_job tool with your specific job_id. It will return the current status (e.g., running, completed) and metadata about the processing task.

04

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

05

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.

06

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

07

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

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