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Provider-independent speech-to-text with normalized transcripts over MCP.
OpenTranscribe MCP is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 76/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding OpenTranscribe MCP to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
uvx open-transcribe-mcp==1.2.2Review the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-10-20T16:04:40.620628Z",
"publishedAt": "2026-10-20T16:04:40.620628Z",
"statusChangedAt": "2026-10-20T16:04:40.620628Z"
}
},
"server": {
"name": "io.github.fbossiere/open-transcribe-mcp",
"title": "OpenTranscribe MCP",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "1.2.2",
"packages": [
{
"version": "1.2.2",
"transport": {
"url": "http://127.0.0.1:{OT_PORT}/mcp",
"type": "streamable-http",
"headers": [
{
"name": "Authorization",
"value": "Bearer {OT_SECURITY__BEARER_TOKEN}",
"isSecret": true,
"variables": {
"OT_SECURITY__BEARER_TOKEN": {
"isSecret": true,
"isRequired": true,
"description": "A strong, random token shared with the local MCP client."
}
},
"isRequired": true,
"description": "Bearer token configured for the local OpenTranscribe server."
}
]
},
"identifier": "open-transcribe-mcp",
"runtimeHint": "uvx",
"registryType": "pypi",
"registryBaseUrl": "https://pypi.org",
"environmentVariables": [
{
"name": "OT_HOST",
"value": "127.0.0.1",
"description": "Loopback address used by the locally installed server."
},
{
"name": "OT_PORT",
"default": "8000",
"description": "Port used by the locally installed Streamable HTTP server."
},
{
"name": "OT_SECURITY__BEARER_TOKEN",
"isSecret": true,
"isRequired": true,
"description": "A strong, random token shared with the local MCP client."
},
{
"name": "OT_MICROSOFT__ENDPOINT",
"description": "Optional Microsoft Speech resource endpoint.",
"placeholder": "https://YOUR-RESOURCE.cognitiveservices.azure.com"
},
{
"name": "OT_MICROSOFT__API_KEY",
"isSecret": true,
"description": "Optional Microsoft Speech API key."
},
{
"name": "OT_ELEVENLABS__API_KEY",
"isSecret": true,
"description": "Optional ElevenLabs API key."
},
{
"name": "OT_GROQ__API_KEY",
"isSecret": true,
"description": "Optional Groq API key."
}
]
}
],
"repository": {
"id": "1358914807",
"url": "https://github.com/fbossiere/open-transcribe-mcp",
"source": "github"
},
"websiteUrl": "https://github.com/fbossiere/open-transcribe-mcp",
"description": "Provider-independent speech-to-text with normalized transcripts over MCP."
}
}