Speechlab MCP ServerMCP server connecting AI assistants to Speechlab's dubbing and translation APIs.

4.5 (4)

리뷰어 Daniel Nikulshyn·업데이트됨 2026년 7월

개요

Speechlab MCP Server is an integration layer built on the Model Context Protocol that lets AI assistants like Claude communicate directly with Speechlab's audio and video localization platform. It exposes Speechlab's dubbing, transcription, and translation capabilities as callable tools that an LLM can invoke during a conversation. Developers can use it to automate multilingual content workflows, trigger dub jobs, check project status, and retrieve translated media without leaving their assistant interface. By following the open MCP standard, the server can be plugged into any compatible client, making it easier to embed Speechlab functionality into agentic pipelines and custom AI applications.

주요 기능

MCP-compliant server interface
Access to Speechlab dubbing endpoints
Translation and transcription tool calls
Project and job status queries
Compatible with Claude and other MCP clients
Scriptable for agent-based automation

가격

모델: Free
카테고리: Model Context Protocol (MCP)
평점: 4.5 / 5 (4)

장단점

장점

Standardized MCP integration with AI assistants
Enables automated dubbing and translation workflows
Works with any MCP-compatible client
Reduces manual steps in localization pipelines

단점

Requires a Speechlab account and API access
Setup involves technical configuration
Limited to features exposed by Speechlab's API

리뷰

4.5

4개 평가의 평균.

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Joanna Kowalski

Nov 11, 2025

Solid for our team

We rolled this out across the team last quarter and reduces manual steps in localization pipelines. Project and job status queries fits neatly into how we already work, and mCP-compliant server interface removed a step we used to do by hand. Setup involves technical configuration, which is the main caveat, but it has held up under daily use.

Olga Ivanova

Oct 16, 2025

Solid for our team

We rolled this out across the team last quarter and works with any MCP-compatible client. Translation and transcription tool calls fits neatly into how we already work, and translation and transcription tool calls removed a step we used to do by hand. Setup involves technical configuration, which is the main caveat, but it has held up under daily use.

Hannah Goldberg

Oct 7, 2025

Solid for our team

We rolled this out across the team last quarter and enables automated dubbing and translation workflows. Scriptable for agent-based automation fits neatly into how we already work, and mCP-compliant server interface removed a step we used to do by hand. Setup involves technical configuration, which is the main caveat, but it has held up under daily use.

Aaliyah Johnson

Sep 11, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on access to Speechlab dubbing endpoints, and standardized MCP integration with AI assistants caught me off guard. still, I'd recommend giving it a real trial.