Local semantic search for markdown notes — MCP server
Project description
mcp-recall-md
Local semantic search for your markdown notes — via MCP.
graph LR
A["<b>.md files</b><br><i>Obsidian · Logseq · plain md</i>"] -- "watch + index" --> B["<b>mcp-recall-md</b><br><i>local vector store</i>"]
C["<b>AI client</b><br><i>Claude · Cursor · Windsurf</i>"] -- "MCP search" --> B
style A fill:#f9f4eb,stroke:#c9a96e,color:#333
style B fill:#e8f0fe,stroke:#4a86c8,color:#333
style C fill:#e8f5e9,stroke:#5b9a5b,color:#333
"Search my notes about Kubernetes networking"
→ finds
kubernetes-networking.md(similarity: 0.53) — even though you phrased it differently than the note
- Search by meaning, not keywords — finds notes even when your wording doesn't match
- 100% offline — no API keys, no cloud, nothing leaves your machine
- Zero config — point at your folders, restart your AI client, done
- Real-time sync — file watcher picks up changes instantly, re-embeds only what changed
Quick start
Add to your MCP client config and restart:
{
"mcpServers": {
"mcp-recall-md": {
"command": "uvx",
"args": ["mcp-recall-md", "--vaults", "C:/Users/you/notes"]
}
}
}
Config file location:
.mcp.json(Claude Code) ·claude_desktop_config.json(Claude Desktop) · Cursor / Windsurf MCP settings
That's it. Your notes are searchable.
Installation
The quick start above uses uvx (recommended). Other options:
pip
pip install mcp-recall-md
{
"mcpServers": {
"mcp-recall-md": {
"command": "mcp-recall-md",
"args": ["--vaults", "C:/Users/you/notes"]
}
}
}
Standalone .exe (no Python needed)
- Download mcp-recall-md.exe from the latest release
- Put it somewhere permanent (e.g.
C:\Tools\mcp-recall-md\)
{
"mcpServers": {
"mcp-recall-md": {
"command": "C:/Tools/mcp-recall-md/mcp-recall-md.exe",
"args": ["--vaults", "C:/Users/you/notes"]
}
}
}
Configuration
Multiple vaults
List all folders — each is indexed independently:
"args": ["--vaults", "C:/notes/work", "C:/notes/personal", "C:/docs"]
.recallignore
Drop a .recallignore in any vault root to exclude files. Standard .gitignore syntax:
.obsidian/
_templates/
drafts/
CLI flags
| Flag | Default | Description |
|---|---|---|
--vaults |
(none) | Folders to index and watch |
--db-path |
~/.mcp-recall-md/db |
ChromaDB storage location |
--verbose |
off | Debug logging to stderr |
Tools
Your AI assistant gets these tools automatically via MCP:
| Tool | Description |
|---|---|
search |
Find notes by meaning — returns ranked results with similarity scores and file paths |
status |
Show indexed article count and watched vaults |
index |
Manually store an article (for use without --vaults) |
remove |
Delete an article from the index |
Most users only interact with search — everything else is automatic.
Troubleshooting
| Problem | Fix |
|---|---|
| Search returns nothing | Check that --vaults points to folders with .md files |
| First run is slow | Embedding model (~80 MB) downloads once on first use |
| Need to debug | Add --verbose, check ~/.mcp-recall-md/server.log |
| Force re-index | Delete ~/.mcp-recall-md/db and restart |
Logs: ~/.mcp-recall-md/server.log (5 MB max, 3 rotated backups)
Limitations
- Single-chunk embedding — large files (10k+ words) may search less precisely than shorter notes
- English-optimized — other languages work but with lower accuracy
License
MIT
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-
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https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
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release.yml@e3ea96a055f2932a6cafb5b3ed178d0049f7e5fa -
Trigger Event:
push
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Statement type: