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
Metadata
Release files for mcp-recall-md 0.4.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| mcp_recall_md-0.4.1.tar.gz | 12.2 kB | With provenance | Details for mcp_recall_md-0.4.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| mcp_recall_md-0.4.1-py3-none-any.whl | Python 3 | none | any | Details for mcp_recall_md-0.4.1-py3-none-any.whl |
Total release size: 22.2 kB
Release files / mcp_recall_md-0.4.1.tar.gz
| Download URL | mcp_recall_md-0.4.1.tar.gz |
|---|---|
| Size | 12.2 kB |
| Tags | Source |
|
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ca3fa9fdb6741f964d5bdb0178bf3557885b7bb4935680d1bea76569ed56e7f6
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| Size | 10.1 kB |
| Tags | Python 3 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Mar 29, 2026.
Transparency logSecurity for mcp-recall-md 0.4.1
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Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
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Attestation for mcp_recall_md-0.4.1.tar.gz
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PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Mar 29, 2026.
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