Skip to main content

mcp-recall-md

Local semantic search for your markdown notes — via MCP.

PyPI version Python versions License Ko-fi


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)
  1. Download mcp-recall-md.exe from the latest release
  2. 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)

Source distribution for mcp-recall-md 0.4.1
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)

Table of built distributions (wheels) for mcp-recall-md 0.4.1
File Interpreter ABI Platform Actions
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
SHA-256 checksum
How to use checksums
ca3fa9fdb6741f964d5bdb0178bf3557885b7bb4935680d1bea76569ed56e7f6
BLAKE2b-256 checksum
How to use checksums
45661bd4c043d9bd299754ed7731b2ac8e716cddd88f482c2cb80c4b47b952fa
Upload date
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 log

Release files / mcp_recall_md-0.4.1-py3-none-any.whl

Download URL mcp_recall_md-0.4.1-py3-none-any.whl
Size 10.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
07551fc9564eb7d5b1995b30f1a99b972757d96ca75cf57c8d0b70839920e2c9
BLAKE2b-256 checksum
How to use checksums
4265c19a4503599329c334d882fef54dbf14446aa5ff339ec5552316fae97569
Upload date
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 log

Security for mcp-recall-md 0.4.1

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.

Full provenance

Both files in this release have been uploaded with provenance metadata.

Select from 2 files

Attestation for mcp_recall_md-0.4.1.tar.gz

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 log

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page