Talkthrough MCP
A local-first Model Context Protocol server that processes video recordings or public video URLs to generate agent-ready evidence. It extracts searchable transcripts, keyframes, OCR text, speaker diarization, and wall-clock timestamps, enabling agents to write evidence-backed issue drafts or investigate production incidents without leaving the user's machine.
Package and access
Local package with source-attributed installation metadata. Koskamo does not execute packages during review.
What you can do with it
- Generate searchable transcripts from video recordings
- Extract keyframes and OCR text from video content
- Identify speakers and create wall-clock timestamped evidence
- Create evidence-backed issue drafts for bug tracking
Source and maintenance
- Maintenance checked
Packages and installation
Source-provided package data. Koskamo has not executed or live-probed this package.
talkthrough-mcp 0.4.4
{
"version": "0.4.4",
"transport": "stdio",
"identifier": "talkthrough-mcp",
"runtimeHint": "uvx",
"registryType": "pypi",
"registryBaseUrl": "https://pypi.org",
"environmentVariables": [
{
"name": "TALKTHROUGH_WHISPER_MODEL",
"description": "Whisper model (tiny|base|small|medium|large-v3|large-v3-turbo). Default: small. Use large-v3-turbo for non-English narration; the process_media `model` param overrides per call."
},
{
"name": "TALKTHROUGH_OCR",
"description": "Set to 'off' to disable OCR of keyframes. Default: on."
},
{
"name": "TALKTHROUGH_OCR_LANG",
"description": "Recognition script for on-screen text: a language code (ru, ja, ko, ar, hi, ...) or a RapidOCR pack name (eslav, cyrillic, ...). Default: Latin+Chinese."
},
{
"name": "TALKTHROUGH_HOME",
"description": "Job store root. Default: ~/.talkthrough"
},
{
"name": "TALKTHROUGH_MAX_DOWNLOAD_BYTES",
"description": "Hard cap for one process_url download. Default: 2147483648 (2 GiB)."
}
]
}Tools
Reported by the attributed source; not independently observed by Koskamo.
Connect from your client
Each snippet configures the same source-provided package; replace placeholders before use.
Cursor
{
"mcpServers": {
"talkthrough-mcp": {
"command": "uvx",
"args": [
"talkthrough-mcp==0.4.4"
],
"env": {
"TALKTHROUGH_WHISPER_MODEL": "<YOUR_TALKTHROUGH_WHISPER_MODEL>",
"TALKTHROUGH_OCR": "<YOUR_TALKTHROUGH_OCR>",
"TALKTHROUGH_OCR_LANG": "<YOUR_TALKTHROUGH_OCR_LANG>",
"TALKTHROUGH_HOME": "<YOUR_TALKTHROUGH_HOME>",
"TALKTHROUGH_MAX_DOWNLOAD_BYTES": "<YOUR_TALKTHROUGH_MAX_DOWNLOAD_BYTES>"
}
}
}
}Cline
{
"mcpServers": {
"talkthrough-mcp": {
"command": "uvx",
"args": [
"talkthrough-mcp==0.4.4"
],
"env": {
"TALKTHROUGH_WHISPER_MODEL": "<YOUR_TALKTHROUGH_WHISPER_MODEL>",
"TALKTHROUGH_OCR": "<YOUR_TALKTHROUGH_OCR>",
"TALKTHROUGH_OCR_LANG": "<YOUR_TALKTHROUGH_OCR_LANG>",
"TALKTHROUGH_HOME": "<YOUR_TALKTHROUGH_HOME>",
"TALKTHROUGH_MAX_DOWNLOAD_BYTES": "<YOUR_TALKTHROUGH_MAX_DOWNLOAD_BYTES>"
}
}
}
}VS Code
{
"servers": {
"talkthrough-mcp": {
"type": "stdio",
"command": "uvx",
"args": [
"talkthrough-mcp==0.4.4"
],
"env": {
"TALKTHROUGH_WHISPER_MODEL": "<YOUR_TALKTHROUGH_WHISPER_MODEL>",
"TALKTHROUGH_OCR": "<YOUR_TALKTHROUGH_OCR>",
"TALKTHROUGH_OCR_LANG": "<YOUR_TALKTHROUGH_OCR_LANG>",
"TALKTHROUGH_HOME": "<YOUR_TALKTHROUGH_HOME>",
"TALKTHROUGH_MAX_DOWNLOAD_BYTES": "<YOUR_TALKTHROUGH_MAX_DOWNLOAD_BYTES>"
}
}
}
}Claude Desktop
{
"mcpServers": {
"talkthrough-mcp": {
"command": "uvx",
"args": [
"talkthrough-mcp==0.4.4"
],
"env": {
"TALKTHROUGH_WHISPER_MODEL": "<YOUR_TALKTHROUGH_WHISPER_MODEL>",
"TALKTHROUGH_OCR": "<YOUR_TALKTHROUGH_OCR>",
"TALKTHROUGH_OCR_LANG": "<YOUR_TALKTHROUGH_OCR_LANG>",
"TALKTHROUGH_HOME": "<YOUR_TALKTHROUGH_HOME>",
"TALKTHROUGH_MAX_DOWNLOAD_BYTES": "<YOUR_TALKTHROUGH_MAX_DOWNLOAD_BYTES>"
}
}
}
}Let your agent find its tools
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