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24 days ago
glama

cc-mem-mcp

Lossless, categorized long-term memory for Claude Code (and any MCP client), backed by Qdrant, capturing compaction summaries across generations.

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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.
🔐
You'll be asked for 2 credentials: QDRANT_API_KEY, OPENAI_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configCC_MEM_CATEGORIES(built-in) JSON {domain:[sub,...]} to override the taxonomy.
configCC_MEM_STRICT_CATEGORIESsuggestion for the manual memory_store path; set =1
configQDRANT_PATH/data/qdrant Embedded storage path (mount a volume here).
configEMBEDDING_PROVIDERlocal local (FastEmbed) or openai.
configEMBEDDING_MODELBAAI/bge-small-en-v1.5 Model for the chosen provider.
configQDRANT_URL(unset) Set to use a shared Qdrant server; unset = embedded local file.
🔐 secretQDRANT_API_KEY(unset) API key for a protected server.
configCOLLECTION_NAMEcc_memory Qdrant collection.
🔐 secretOPENAI_API_KEY/ OPENAI_BASE_URL (unset) For openai provider.
configOPENAI_BASE_URLOPENAI_API_KEY / (unset) For openai provider.
configEMBEDDING_QUERY_PREFIX/ EMBEDDING_PASSAGE_PREFIX (empty) Instruction prefixes; set "query: " / "passage: " for the e5 family. See [eval/](eval/).
configEMBEDDING_PASSAGE_PREFIXEMBEDDING_QUERY_PREFIX / (empty) Instruction prefixes; set "query: " / "passage: " for the e5 family. See [eval/](eval/).
configCLAUDE_PROJECTS_DIR
// 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/nguyensen-cc-mem-mcp-1trpqz)](https://m8ven.ai/mcp/nguyensen-cc-mem-mcp-1trpqz)
commit: de1f06d7aa8da250e256c11a0e5b99f260ff9cd2
code hash: 60b996c8c7d28d6f8e7b8927c3bb7e21945f07cbbac99671b207194502421e93
verified: 7/7/2026, 9:57:56 AM
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