Journal Rag
БесплатноНе проверенHybrid retrieval MCP server for searching team markdown journals using BM25 and local vector embeddings, with tools for search, browse, and regex lookup.
Описание
Hybrid retrieval MCP server for searching team markdown journals using BM25 and local vector embeddings, with tools for search, browse, and regex lookup.
README
Source-control-friendly hybrid retrieval over team markdown journals. Heading-chunked BM25 + local vector embeddings fused via Reciprocal Rank Fusion (RRF), with regex as an escape hatch. Index built on startup with an optional gitignored JSON cache.
Embeddings run locally via @huggingface/transformers (default model: Qwen3-Embedding-0.6B) — no API keys, no external calls.
Each consuming repo commits journal-rag.config.json and markdown under docs/journal/ (or other configured folders). This package is the shared engine.
Per-repo config
Create journal-rag.config.json at the repo root:
{
"sources": ["docs/journal"],
"cachePath": ".journal-rag/index.json",
"embeddingModel": "onnx-community/Qwen3-Embedding-0.6B-ONNX"
}
| Field | Required | Default | Description |
|---|---|---|---|
sources |
yes | — | Directories containing markdown journals |
cachePath |
no | .journal-rag/index.json |
BM25 chunk index cache path |
embeddingModel |
no | onnx-community/Qwen3-Embedding-0.6B-ONNX |
Hugging Face model ID for local embeddings |
The vector cache (vectors.json) is stored in the same directory as cachePath.
Add to .gitignore:
.journal-rag/
Build & install (once per machine)
cd c:/repos/journal-rag
npm install # runs prepare → build
npm link # puts journal + journal-mcp on your PATH
npm link registers two global commands:
| Command | What it runs |
|---|---|
journal |
CLI (search, list, get, …) |
journal-mcp |
MCP stdio server (for editor config) |
Re-run npm run build (or npm link again) after pulling server changes.
Alternative to link: npm install -g . from this repo (same effect).
CLI (any teammate)
From a repo root with config:
journal search "HttpFacade singleton" # hybrid BM25 + vector (default)
journal search "HttpFacade singleton" --bm25 # BM25-only (no embedding)
journal list --filter dialog
journal get docs/journal/2026-04-21_vapp-http-facade-and-singleton-sweep.md
journal index --rebuild
After npm link in this repo, journal search "..." works globally.
Set JOURNAL_RAG_WORKSPACE to an absolute repo root only when you must run the CLI from a subdirectory.
The first run downloads the embedding model (~614 MB, quantized int8) to the Hugging Face cache directory. Subsequent runs load from cache.
MCP tools
| Tool | Purpose |
|---|---|
search_journal |
Hybrid BM25 + vector search with RRF fusion (query, k). Falls back to BM25-only if vector index is unavailable. |
write_entry |
Create a new journal entry (title, content). Auto-generates dated filename, incrementally updates the vector index. |
get_entry |
Full file by path or filename |
list_entries |
Browse metadata (filter optional) |
search_regex |
Exact / path / symbol lookup |
Editor setup
Use stdio — spawn Node with dist/server.js.
Put MCP config in the workspace, not your user profile
The server resolves journal-rag.config.json by walking up from its working directory. That file lives at each consuming repo's root (next to docs/journal/), not in journal-rag itself.
If you add the server to a global / user-level editor profile, the spawn cwd is usually wrong (home dir, editor install dir, last random folder, etc.) and the server cannot find config — even if you hardcode "cwd": "C:/repos/my-repo", that breaks the moment you open a second repo workspace.
Do this instead: commit workspace-level MCP config inside each repo that has journals. Teammates run npm link once (see above) so journal-mcp is on PATH — no machine-specific paths in the committed JSON.
Cursor
.cursor/mcp.json at the repo root (e.g. my-repo/.cursor/mcp.json) — safe to commit:
{
"mcpServers": {
"journal": {
"command": "journal-mcp",
"cwd": "${workspaceFolder}",
"env": {
"JOURNAL_RAG_WORKSPACE": "${workspaceFolder}"
}
}
}
}
${workspaceFolder} resolves to the repo you opened. journal-mcp comes from npm link in the journal-rag repo.
VS Code (Copilot agent mode)
Same idea: .vscode/mcp.json in the repo, not User settings:
{
"servers": {
"journal": {
"type": "stdio",
"command": "journal-mcp",
"cwd": "${workspaceFolder}"
}
}
}
JetBrains AI Assistant / Junie
Configure MCP at project scope (.idea / project settings), not the IDE default profile. Open the repo as the project root. Command: journal-mcp (after npm link).
If journal-mcp is not found
Ensure npm's global bin dir is on your PATH (npm bin -g). On Windows that is usually %APPDATA%\\npm. Then re-run npm link from journal-rag. Fallback for a single machine only: "command": "node", "args": ["<absolute-path>/journal-rag/dist/server.js"].
Fallback
If an editor cannot set cwd per workspace, set env JOURNAL_RAG_WORKSPACE to the absolute path of the consuming repo root in that workspace's MCP config.
Design notes
- Corpus is small (~tens of files); BM25 over heading chunks matches how journals are written.
- Vector embeddings (local, via Transformers.js) add semantic recall for paraphrased or conceptual queries.
- Reciprocal Rank Fusion (RRF, k=60) merges BM25 and vector rankings without needing score normalization.
- Index caches are optional and gitignored; markdown in git is the source of truth.
- Vector cache is incremental — only new/changed chunks are re-embedded on rebuild.
Установка Journal Rag
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/neryams/workspace-docs-mcpFAQ
Journal Rag MCP бесплатный?
Да, Journal Rag MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Journal Rag?
Нет, Journal Rag работает без API-ключей и переменных окружения.
Journal Rag — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить Journal Rag в Claude Desktop, Claude Code или Cursor?
Открой Journal Rag на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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