reelgrep

MCP server for reelgrep - browse and search a local video library from chat.

Install

openclaw plugins install clawhub:reelgrep-mcp

reelgrep-mcp

MCP server for reelgrep - browse and search your local video library from any MCP client.

Status: v0.1.0. Read-only tools (browse + search). Write operations (transcribe, export, find-person) ship via the reelgrep CLI today and may land here later if there's demand.

reelgrep is a local-first CLI that indexes a folder of videos and their subtitles into a single SQLite database. reelgrep-mcp opens that same index directly via better-sqlite3, so there's no second daemon to run and no HTTP hop. The headline use case is cross-library FTS5 subtitle search from a chat agent ("which lecture mentioned eventual consistency?") with the matching cue and timestamp returned inline.

Why

Ask a chat agent "which lecture covered ACID properties?" and get back the lecture title, timestamp, and exact cue text without switching to a browser.
Mid-essay citation generator: reelgrep_find_quote returns formatted blocks ready to paste.
Cross-class research: fan one query out across every video the agent can see.
All local. The server reads the SQLite database that reelgrep maintains, talks to nothing else over the network, and is read-only by design.
One file is the source of truth. Point it at the DB, restart the client, done.

Requirements

Node 20+.
A reelgrep index on disk. Install and ingest at least one video first:
bash
```
pipx install reelgrep[whisper]
reelgrep ingest ~/Videos/some-lecture.mp4 --transcribe
```
See the reelgrep README for the full setup, including transcription model selection and batch ingest.
Default DB path: ~/.local/share/reelgrep/index.sqlite. Override via REELGREP_DB_PATH.

Install

bash

npm install -g reelgrep-mcp

Or from source:

bash

git clone https://github.com/solomonneas/reelgrep-mcp
cd reelgrep-mcp
npm install
npm run build

Configuration

One environment variable:

Variable	Default	Description
`REELGREP_DB_PATH`	`~/.local/share/reelgrep/index.sqlite`	Absolute path to the reelgrep SQLite index. `~` is expanded.

The server opens the DB read-only on startup and closes it cleanly on shutdown. If the file is missing or unreadable, reelgrep_health will surface the error rather than crashing the process.

Tools

All tools are namespaced reelgrep_*. Parameters with ? are optional.

Browse

reelgrep_list_videos(limit?, offset?) - List indexed videos, newest first. Use for "what's in my library?" prompts.
reelgrep_video_info(file_hash) - Full metadata for one video (duration, codec, cue count, ingest timestamp, source path). Accepts an 8+ character hex prefix; the server resolves it as long as it's unambiguous.

Search

reelgrep_search_subtitles(query, file_hash?, limit?) - FTS5 search over every subtitle cue. If file_hash is provided, scopes to that video; otherwise searches across the whole library and groups hits per video. This is the headline tool.
reelgrep_recent_cues(file_hash, timestamp_ms, window_seconds?) - Cues within +/- window_seconds of a timestamp. Useful for pulling context around a search hit.
reelgrep_find_quote(query, max_results?) - Same data as reelgrep_search_subtitles, but returns formatted citation blocks ready to paste into a paper or chat reply.

Person searches

reelgrep_list_searches(file_hash?, limit?) - Past person-find runs, scoped to a video or across all videos.
reelgrep_get_search_matches(search_id) - One search with its matches sorted by confidence.

Exports

reelgrep_list_exports(file_hash?, kind?, limit?) - Screenshots, clips, gifs, and contact sheets the user has exported. kind filters by export type.

Diagnostics

reelgrep_health() - Confirms the DB is reachable, prints the resolved DB path and indexed video count. Run this first if anything looks off.

Setup

Configuration snippets for each MCP client. Pick the one that matches your setup; the env var (REELGREP_DB_PATH) is the same everywhere.

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

json

{
  "mcpServers": {
    "reelgrep": {
      "command": "npx",
      "args": ["-y", "reelgrep-mcp"],
      "env": {
        "REELGREP_DB_PATH": "/home/you/.local/share/reelgrep/index.sqlite"
      }
    }
  }
}

Restart Claude Desktop after editing.

Claude Code

bash

claude mcp add reelgrep -- npx -y reelgrep-mcp

Or with an explicit DB path:

bash

claude mcp add reelgrep --env REELGREP_DB_PATH=/abs/path/index.sqlite -- npx -y reelgrep-mcp

Add --scope user to make it available from any directory instead of only the current project.

OpenClaw

bash

openclaw mcp set reelgrep --command "npx" --arg "-y" --arg "reelgrep-mcp" \
  --env REELGREP_DB_PATH=/home/you/.local/share/reelgrep/index.sqlite

Or edit ~/.openclaw/openclaw.json directly if you prefer. Restart the gateway after either:

bash

systemctl --user restart openclaw-gateway
openclaw mcp list   # confirm "reelgrep" is registered

Hermes Agent

Add to ~/.hermes/config.yaml under mcp_servers:

yaml

mcp_servers:
  reelgrep:
    command: npx
    args: ["-y", "reelgrep-mcp"]
    env:
      REELGREP_DB_PATH: /home/you/.local/share/reelgrep/index.sqlite

Reload MCP from inside a Hermes session:

text

/reload-mcp

Codex CLI

bash

codex mcp add reelgrep -- npx -y reelgrep-mcp

With an explicit DB path:

bash

codex mcp add reelgrep \
  --env REELGREP_DB_PATH=/home/you/.local/share/reelgrep/index.sqlite \
  -- npx -y reelgrep-mcp

Codex writes the entry to ~/.codex/config.toml under [mcp_servers.reelgrep]. Verify with:

bash

codex mcp list

Example prompts

Which lectures in my library cover Kubernetes networking?

Calls reelgrep_search_subtitles with query="kubernetes networking", returns one hit group per matching video with timestamps.

Find every cue across my videos that mentions ACID properties, formatted as citations I can paste into a paper.

Calls reelgrep_find_quote and returns pre-formatted blocks (video title, timestamp, cue text).

List the videos I've ingested in the last week with their cue counts.

reelgrep_list_videos (newest first), then reelgrep_video_info per hash for the cue counts.

Show me the cues around the 5-minute mark of Module_1-1.mp4 - I want the context around what the prof said about schemas.

reelgrep_list_videos to resolve the hash, then reelgrep_recent_cues with timestamp_ms=300000 and a window like 30.

What person searches have I run against Module_3-2.mp4 and what were the top matches?

reelgrep_list_searches scoped by the file hash, then reelgrep_get_search_matches on the search ID of interest.

How it works

The MCP server opens the reelgrep SQLite index in read-only mode via better-sqlite3, holds it for the lifetime of the process, and closes it on shutdown. No second daemon required; the index file is the single source of truth. Because reads are local SQLite calls, latency is dominated by FTS5 query cost rather than IPC, so cross-library subtitle search stays fast even on libraries with hundreds of hours of indexed video.

The reelgrep CLI is the write side: it ingests videos, samples frames, extracts and transcribes subtitles, runs face matching, and exports clips. reelgrep-mcp only reads what's already in the DB. If you want a tool that writes (a new export, a fresh transcription, a person search), run the reelgrep CLI directly today, or open an issue to discuss a read-write tool surface.

Development

bash

git clone https://github.com/solomonneas/reelgrep-mcp
cd reelgrep-mcp
npm install
npm run typecheck
npm test
npm run build

To run the server in stdio mode against your own DB while iterating:

bash

REELGREP_DB_PATH=$HOME/.local/share/reelgrep/index.sqlite npm run dev

Test interactively with the MCP Inspector:

bash

npx @modelcontextprotocol/inspector node dist/index.js

The inspector lets you call each tool with arbitrary inputs and see raw responses, which is the fastest way to validate a new tool handler.

Project layout

text

src/
  index.ts         # MCP server entry, registers all tools
  db.ts            # better-sqlite3 connection + schema helpers
  tools/
    browse.ts      # list_videos, video_info
    search.ts      # search_subtitles, recent_cues, find_quote
    people.ts      # list_searches, get_search_matches
    exports.ts     # list_exports
    health.ts      # health
tests/             # vitest suites, one per tool module

Each tool module exports a registration function that takes the MCP server and the DB handle, and registers its tools with input schemas defined via Zod. The DB handle is shared across tools so the file is opened once per process.

Adding a tool

Pick the right module under src/tools/ (or create a new one).
Define the input schema with Zod, the handler, and register it via server.tool(...).
Add a vitest suite under tests/ that exercises the SQL path against a fixture DB.
Update the Tools section of this README.
Run npm run typecheck && npm test && npm run build.

If the new tool needs to write to the index, stop and reconsider: the contract for v0.1.x is read-only. Writes belong in the reelgrep CLI unless there's a concrete reason to move one over (open an issue).

Troubleshooting

reelgrep_health reports the DB cannot be opened. The REELGREP_DB_PATH is wrong, the file does not exist, or the user running the MCP client cannot read it. Check the path resolves (ls -l "$REELGREP_DB_PATH") and that you have run reelgrep ingest at least once.

Tools return zero results for queries you know should match. The index might be empty. Run reelgrep_list_videos and reelgrep_video_info on one of the returned hashes to confirm there are cues. If the cue count is zero, the source video was ingested without a subtitle track and without --transcribe; re-ingest with transcription enabled.

reelgrep_search_subtitles returns hits but the timestamps look off. Timestamps are in milliseconds from the start of the source file, as written by the reelgrep ingest path. If the source file has a non-zero start offset (rare but possible with concatenated MKVs), reelgrep records the offset-adjusted time. Compare against the raw subtitle file via the reelgrep CLI to confirm.

The server opens but the client says the tool is not available. Restart the MCP client after editing config. For OpenClaw, also restart the gateway (systemctl --user restart openclaw-gateway) and confirm with openclaw mcp list.

better-sqlite3 fails to load on install. Native binding mismatch. npm rebuild better-sqlite3 against your installed Node version, or reinstall with npm install -g reelgrep-mcp --force. Node 20+ is required.

License

MIT. See LICENSE.