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Gemini MCP Server for Claude Desktop

VERBATIM_MODE_README.md2.05 kB
# Verbatim Transcription Mode Fix ## Problem The Gemini MCP server's audio transcription tool was providing summaries instead of word-for-word transcriptions because the Tool Intelligence enhancement was adding "Adopt a concise style. Ensure the response includes: key points." to every request. ## Solution Implemented a special "verbatim" context mode that bypasses normal intelligence enhancements and instead adds specific instructions for exact word-for-word transcription. ## Changes Made ### 1. Updated `prompt-enhancer.js` - Added special handling for `context="verbatim"` - When verbatim context is detected, it returns a specific enhancement for word-for-word transcription - Includes instructions to capture all utterances, pauses, filler words, and incomplete sentences ### 2. Updated `context-detector.js` - Added verbatim context detection as highest priority - When `context="verbatim"` is passed, it immediately returns 'verbatim' context ## Usage To get a verbatim transcription, use the tool with `context="verbatim"`: ```javascript // In Claude Desktop await gemini_transcribe_audio({ file_path: "/path/to/audio.mp3", context: "verbatim" }); ``` ## Testing Run the test script to verify the verbatim mode: ```bash cd /Users/rob/Claude/mcp-servers/gemini-mcp-server node test-verbatim-mode.js ``` ## Expected Behavior ### Without verbatim context: - Tool Intelligence adds style enhancements (e.g., "Adopt a technical depth style") - May result in summarized transcriptions ### With verbatim context: - Tool Intelligence adds: "Provide an exact word-for-word transcription including all utterances, pauses, filler words (um, uh, etc.), repetitions, and incomplete sentences. Do not summarize or clean up the text. Include everything exactly as spoken." - Results in complete, unedited transcriptions ## Next Steps After implementing this fix: 1. Restart the Gemini MCP server in Claude Desktop 2. Test with an audio file using `context="verbatim"` 3. Verify you get word-for-word transcriptions instead of summaries

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