FalaAI API (MCP)
FalaAI API MCP server: transcribe audio, diagnose conversations, audit compliance (ISO 18295-1).
| Endpoint | https://mcp-falaai.action.tec.br/mcp (streamable-http) |
|---|---|
| Registry version | 1.21.67 |
| Now | 5 tools · grade D (53) · pin ts_d6ae190da1b0069f5790cdc6cb161320 · protocol 2025-06-18 |
| First / last listed | 2026-10-25 03:28 UTC / 2026-10-25 03:28 UTC |
| Grade over time | 2026-10-25: D (53), 5 tools |
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Tools: risk_audit diagnostic transcribe_audio extract_whatsapp health
risk_audit | Runs a compliance risk audit on a diarized call transcript, detecting violations and positives, applying the ISO 31000 risk matrix, classifying the conversation into a level and returning the verdict with the applied actions and the NIST/OWASP risk framework enquadramento; use it for compliance and quality audits of company-agent-to-client calls, not for generic conversation summarization. Require params: dialog*, duration_seconds*, language*, response_language, participants, call_direction, audio_events, response_format, client_reference_id |
diagnostic | Analyzes a call transcript and returns six structured blocks: dialogue summary, contact reason, identified action, theme label, predominant sentiment and identified participants with roles, names, confidence and evidence; use it for a fast, generic diagnosis of what happened in a call, and use /v1/analyze/riskAudit instead when the goal is compliance violation auditing. Provide at least one of dia params: language*, dialog, text, response_language, duration_seconds, participants, call_direction, audio_events, client_reference_id |
transcribe_audio | Transcribes one uploaded audio file into text with speaker diarization and timestamped audio events (laughs, sighs, pauses), returning the full transcript, a turn-by-turn dialog with speaker labels and start/end timestamps, the detected events and the word count. Use it when a recording must become text for analysis, review or storage of the transcript. Provide the audio as file_base64 (base64 of params: file_base64*, filename, model, language, client_reference_id |
extract_whatsapp | Extracts and segments the conversations of a WhatsApp export (.zip or .txt containing chat.txt in UTF-8 with at least one turn) and, unless it is a preview, resolves each selected conversation with AI by transcribing voice/audio/video notes and describing visual expressions, returning the segmented conversations with speakers, dialogs, counts and usage. Provide the export as file_base64 (base64 of params: file_base64*, timezone*, date_format*, filename, start, end, windows, gap_minutes, min_messages, voice_note, expression, dry_run, client_reference_id |
health | Checks the connection to the FalaAI API and returns its health and version (status, version, uptime, database, phase, launch date). Use it FIRST to confirm the MCP is working before any billable call. This tool is FREE: it does not consume credits, does not require the API key (the health endpoint is public), performs no analysis and stores nothing. params: none |
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