69
/ 100
1 month ago
glama

vectorise-mcp

Local MCP server that indexes folders of documents into a hybrid vector + keyword search index for Claude Desktop, with support for PDFs, Office files, and images via OCR.

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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configVECTORISE_MCP_EMBED_MODELBAAI/bge-small-en-v1.5 must be 384-dim
configVECTORISE_MCP_EMBED_BATCH
configVECTORISE_MCP_NOTIFY1 desktop toast on/off
configVECTORISE_MCP_OCR_MIN_CONFIDENCE0.5 drop OCR lines below
configVECTORISE_MCP_OCR_WORKERS4 parallel page OCR threads
configVECTORISE_MCP_OCR_DPI200 PDF rasterisation DPI
configVECTORISE_MCP_OCR_MAX_DIM4000 downscale huge images before OCR
configVECTORISE_MCP_RERANKER_MODELBAAI/bge-reranker-base
configVECTORISE_MCP_RERANKER_BATCH
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 5 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/jameslovespancakes-vectorised-embedding-mcp-1hdbt7)](https://m8ven.ai/mcp/jameslovespancakes-vectorised-embedding-mcp-1hdbt7)
commit: 09780cef533d49d97481b6a5ce6aed44df8f8cf2
code hash: 1ec213727884c1d288658efcc551230d70703e18f0ba2ca9e82274bd5dd88181
verified: 6/18/2026, 11:32:58 AM
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