kb-mcp
Provides semantic search over an Obsidian vault (the Acumatica KB vault) using precomputed embeddings.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@kb-mcpsearch for sales tax configuration steps"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
kb-mcp
Semantic search MCP server for the Acumatica KB Obsidian vault.
Reuses the embeddings already computed by the Smart Connections plugin (TaylorAI/bge-micro-v2, 384-dim).
Tools
Tool | What it does |
| Semantic search — embed query, cosine-search ~89k vectors, return top results with snippet |
| Read full content of a KB file by relative path |
Related MCP server: recall-mcp
Setup
1. Install
cd path\to\kb-mcp
python -m venv .venv
.venv\Scripts\activate
pip install -e .2. Build the index (run once, ~2 min)
# with .venv active, from the kb-mcp folder:
set KB_VAULT_DIR=path\to\Acumatica-KB
python -m kb_mcp.build_indexThis creates kb_index.npy and kb_meta.json inside src\kb_mcp\.
Re-run only if you add new notes to the vault (and re-index in Obsidian Smart Connections first).
3. Register with Claude Desktop
Add to claude_desktop_config.json (found at %APPDATA%\Claude\claude_desktop_config.json):
{
"mcpServers": {
"kb-mcp": {
"command": "C:\\path\\to\\kb-mcp\\.venv\\Scripts\\python.exe",
"args": ["-m", "kb_mcp.server"],
"env": {
"KB_VAULT_DIR": "C:\\path\\to\\Acumatica-KB"
}
}
}
}Restart Claude after adding.
4. First query (model download)
The TaylorAI/bge-micro-v2 model (~45 MB) downloads automatically on the first search_kb call and is cached locally by HuggingFace.
Environment variables
Variable | Default | Description |
| auto-detected | Path to the Acumatica-KB vault folder |
|
| Where |
|
| Lines to include in each result snippet |
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