Replicate's official MCP server: search thousands of hosted models, read their schemas, and run predictions on image, video, audio and language models from inside an agent.
DeepgramMCP Server
by Deepgram
Released
MIT
Summary
Deepgram's official MCP server, bringing speech-to-text, text-to-speech and audio intelligence into Claude Code, Cursor and Windsurf.
Features
- Speech-to-text, text-to-speech and audio intelligence tools inside the editor
- Tool list fetched from the Deepgram API at runtime — new tools appear without upgrading the package
- stdio or SSE transport, with host, port and base-URL flags
- Single DEEPGRAM_API_KEY environment variable; free key available from the console
Installation
Set up this MCP server in your favorite AI agent — copy a ready-made configuration below.
Description
Deepgram's official MCP server connects a coding agent to Deepgram's speech platform — transcription, text-to-speech and audio intelligence — so audio work happens inside the editor rather than through a side script.
The design choice worth noting
The tool list is fetched from the Deepgram API at runtime, not compiled into the package. New Deepgram capabilities appear in your editor the next time you connect, with no package upgrade — a pragmatic answer to the usual problem of MCP servers drifting behind the API they wrap.
Setup
Install from PyPI and set one environment variable:
pip install deepgram-mcp{
"mcpServers": {
"deepgram": {
"command": "deepgram-mcp",
"env": { "DEEPGRAM_API_KEY": "your_api_key_here" }
}
}
}A free API key is available from the Deepgram console. The server also accepts --transport (stdio or sse), --port, --host, --base-url and --debug, so it can be run as a network service as well as a local subprocess.
Requirements
Python with pip, and a Deepgram API key. Published under the MIT licence.
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