ollqd

Enables indexing and semantic search of codebases and documents via MCP, using Ollama embeddings and Qdrant vector store.

→ leomarviegas/Ollqd · listed on glama

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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.

configOLLAMA_BASE_URL

configQDRANT_URL

configQDRANT_COLLECTION

configOLLAMA_MODEL

configOLLAMA_URL

configOLLAMA_CHAT_MODEL— qwen2.5:14b Chat model for RAG

configOLLAMA_EMBED_MODEL— nomic-embed-text Embedding model

configOLLAMA_VISION_MODEL

configOLLAMA_TIMEOUT_S— 120 Request timeout (seconds)

configQDRANT_DISTANCE

configCHUNK_SIZE— 512 Approximate tokens per chunk

configCHUNK_OVERLAP— 64 Overlap tokens between chunks

configMAX_IMAGE_SIZE_KB

configUPLOAD_DIR

configMAX_UPLOAD_SIZE_MB

configPII_MASKING_ENABLED

configPII_USE_SPACY

configPII_MASK_EMBEDDINGS

configPII_ENABLED_TYPES

configDOCLING_ENABLED

configDOCLING_OCR_ENABLED

configDOCLING_OCR_ENGINE

configDOCLING_TABLE_STRUCTURE

configDOCLING_TIMEOUT_S

configMAX_TOOL_ROUNDS— 6 Max tool-calling rounds per query

configMOUNTED_PATHS

configCONFIG_DB_PATH

configGRPC_PORT

// 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 4 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/leomarviegas-ollqd-1sy3it)](https://m8ven.ai/mcp/leomarviegas-ollqd-1sy3it)

commit: 08e4dd2ac45cf4ba43258d98b00a562d1ec97c7e

code hash: d3bf5ea48fa66194994b7c02c5c7bb13159789f13351da73613b8300d3109472

verified: 6/21/2026, 10:41:55 AM

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