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talkthrough-mcp MCP Server

Local MCP server: screen recordings into transcript, exact frames, OCR, wall-clock evidence.

Publisher claimed. No tool list reported, and Pod has not connected to this server.

Status

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Published as talkthrough-mcp on pypi. Runs locally.

Known issues

14 problems reported by people outside the maintainer team. Issues filed by the project's own owners, members and collaborators are excluded — those are release checklists and internal refactors, not things that will go wrong for you. Showing 11.

Most discussed

Speaker diarization: sherpa-onnx backend — accepted for v0.2.0

Meetings with multiple speakers would benefit from 'who said it'. Constraints: local-only (privacy promise), CPU-friendly, pip-installable. Candidates to evaluate: pyannote (license/weights?), NeMo, whisperX-style alignment, sherpa-onnx diarization. Deliverable: a short comparison + recommendation in an issue comment; implementation is a separate PR. Explicitly out of v1 scope (README roadmap).

Status 2026-07-14: ACCEPTED → v0.2.0, backend picked: sherpa-onnx. Backend comparison is in

Read the thread · 2026-07-10 · closed · 3 comments

Cache diarization embeddings so a num_speakers amend re-clusters in seconds

Problem

Real-world report on a large multi-speaker meeting recording (v0.2.3):

  1. process_media(diarize=true) without num_speakers → processing took ~12 min and unconstrained clustering over-split the audio into 123 "speakers".
  2. Re-running with the correct num_speakers=6 triggered the diarize amend path as designed — Whisper/frames/OCR were correctly reused — but the call still took roughly as long as the first run, because the amend re-runs the entire diarization engine.

Read the thread · 2026-07-27 · open · 2 comments

Semantic transcript search (local embeddings): tracking

Tracking issue for the semantic tier of transcript search (README Roadmap item, promoted to an issue after real-session evidence).

Why. search today is exact-substring — deliberate v1 scope (deterministic, zero deps, pointers-not-payloads). A real agent session hit its ceiling on concept queries: "where does he talk about the first phase" has no literal match against a transcript saying "the first one", "the first real phase", "the first step" (2026-07-14 tester feedback). Word-level ma

Read the thread · 2026-07-14 · open · 2 comments

≤0.2.4 cannot start in freshly resolved environments: MCP SDK 2.0.0 removed mcp.server.fastmcp (fixed in 0.2.5)

Symptom. The server process dies on import before the MCP handshake. Claude Code shows:

/mcp  →  Failed to reconnect to plugin:talkthrough:talkthrough: -32000

Running the server command manually shows the real error:

File ".../talkthrough_mcp/server.py", line 20, in <module>
    from mcp.server.fastmcp import Context, FastMCP, Image
ModuleNotFoundError: No module named 'mcp.server.fastmcp'

Cause. The MCP Python SDK released 2.0.0 on 2026-07-28, which removes the `mcp.

Read the thread · 2026-07-31 · closed · 1 comment

search: multi-word queries should match by words, not exact phrase (+ Unicode/ё-е normalization)

Problem (2026-07-14 tester batch, agent-driven session): search is exact-substring, so a multi-word query silently means exact phrase. search("first phase") returns zero hits against a transcript that says "the first one", "the first real phase", "the first step" — the information is there, the agent concludes it isn't. Guidance already steers agents toward "a distinctive word", but the tool should survive natural usage instead of trapping it.

**Proposal — the dependency-free tier (de

Read the thread · 2026-07-14 · closed · 1 comment

Most recent

P6: OCR garbles Cyrillic UI text (default RapidOCR models) — document the limitation or expose a language option

Acceptance step: 4.5, P6 manual acceptance 2026-07-10 (founder-approved filing), job ab4dcf3f5acf435c.

Got: English/Spanish on-screen text OCRs well — search("viajaste") → 8 OCR hits; long English chat copy captured nearly verbatim. Large Cyrillic UI text at the same font size garbles: «Выберите поезд» → Bepe noe3, «Цена билета» → Lea uneta, RU chat bubbles → , , ? placeholders. search over RU on-screen text therefore misses even though the words are clearly legible on t

Read the thread · 2026-07-10 · closed · 0 comments

P6: get_moment picks nearest unique frame by time — can cross a scene boundary when all in-range frames are duplicates

Acceptance step: 4.2, P6 manual acceptance 2026-07-10 (founder-approved filing), job ab4dcf3f5acf435c — real 2-min screencast, 8 unique / 119 frames, one long static stretch 47.2s→92.4s deduped to a single keyframe.

Got: get_moment(start_ms=81810, end_ms=88950) returned frame t00092358.jpg — 3.4 s AFTER the requested range and on the far side of a scene change (92.358 s starts a new scene). Every frame inside the range is duplicate_of: 47166, so the faithful representative of th

Read the thread · 2026-07-10 · closed · 0 comments

whisper.cpp backend as an alternative to faster-whisper

faster-whisper (CTranslate2) is the v1 backend. whisper.cpp with Metal/CoreML could be faster on Apple Silicon and removes the ctranslate2 wheel dependency. Port shape already exists conceptually (segments JSON with ms offsets). Needs: backend selection env (TALKTHROUGH_STT_BACKEND), binary resolution ladder like ffmpeg.py, and CI coverage decision.

Read the thread · 2026-07-10 · open · 1 comment

Expose RapidOCR language/config knobs

OCR currently runs RapidOCR defaults. Some recordings need language hints or det/rec model switches. Proposal: TALKTHROUGH_OCR_LANG (and maybe a generic pass-through env) wired into core/ocr.py:create_engine, documented in README Configuration.

Read the thread · 2026-07-10 · closed · 1 comment

Recipe: file approved findings as GitHub issues (gh CLI example)

The triage flow ends with findings JSON per examples/output-contract.schema.json. Add examples/recipes/github-issues.md (or a small script): for each approved finding, create one GitHub issue via gh issue create — title from title, body from quote/observed/expected/acceptance_criteria/verify_via + t_wall, attach the referenced frames from ~/.talkthrough/jobs/<job_id>/frames/.

Read the thread · 2026-07-10 · closed · 0 comments

Windows: best-effort smoke run + docs notes

The codebase is OS-neutral by design (fcntl lock degrades to no-op, static-ffmpeg has win builds), but nobody has run it on Windows yet.

Task: run uv run talkthrough-mcp process tests/fixtures/talkthrough-demo.mp4 on Windows, note what breaks (paths, locking, static-ffmpeg resolution), and PR a short 'Windows notes' README section. No CI needed — v1 keeps Windows best-effort.

Read the thread · 2026-07-10 · closed · 0 comments

See all 14 reports Pod holds for talkthrough-mcp.

Firsthand observations

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