MCP Video Digest MCP Server

async def process_video(): client = MCPClient() result = await client.call( "get_video_content", url="https://www.youtube.com/watch?v=video_id" )

Local serverstdioPython

What is the MCP Video Digest MCP server?

If you already use MCP Video Digest, the mcp video digest mcp server is the piece that lets your assistant work with it directly. async def process_video(): client = MCPClient() result = await client.call( "get_video_content", url="https://www.youtube.com/watch?v=video_id" ) print(result) ```.

Installation

package_name on PyPI is all you need. Most clients run it directly, so configuration is a few lines and a restart.

Available tools

The toolset is worth reading before you wire it up, because it tells you what the integration is really for:

  • Deepgram — Gladia
  • Speechmatics — AssemblyAI
  • Gladia — Speechmatics

Credentials and setup notes

Configuration is passed through the environment: DEEPGRAM_API_KEY, GLADIA_API_KEY, SPEECHMATICS_API_KEY, ASSEMBLYAI_API_KEY. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.

Worth knowing first

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

Where it fits

Plenty of developer tooling servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. MCP Video Digest's toolset — Deepgram, Speechmatics, Gladia — is a fair guide to whether it matches your workflow. It is maintained by R-lz; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.

Available tools

ToolWhat it does
DeepgramGladia
SpeechmaticsAssemblyAI
GladiaSpeechmatics

How to install the MCP Video Digest MCP server

3. 客户端SSE为示例
```bash
{
    "mcpServers": {
      "video_digest": {
        "url": "http://<ip>:8000/sse"
    }
  }
}

# 当然可以在Client传递Key

"env": {
   "DEEPGRAM_API_KEY":"your_deepgram_key"
}

Configuration as documented by the project. Restart the client after saving.

Configuration

VariableDescriptionRequired
DEEPGRAM_API_KEYCredential the server authenticates with.Yes
GLADIA_API_KEYCredential the server authenticates with.Yes
SPEECHMATICS_API_KEYCredential the server authenticates with.Yes
ASSEMBLYAI_API_KEYCredential the server authenticates with.Yes

Example prompts to try

  • Use MCP Video Digest to Deepgram.
  • Use MCP Video Digest to Speechmatics.
  • Use MCP Video Digest to Gladia.

Frequently asked questions

It connects MCP Video Digest to MCP-compatible AI assistants such as Claude and Cursor, exposing 3 tools (Deepgram, Speechmatics, Gladia) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with MCP Video Digest directly.