74
grade C
10 days ago
glama
Context MCP
Provides persistent context management for AI agents by storing and querying semantic information using Upstash Vector DB and Google AI embeddings. It enables semantic search, batch operations, and metadata filtering to help agents retrieve relevant stored knowledge.
Install from
M8ven verifies MCPs across every public registry — install directly from whichever one you prefer.
// key findings
⚠️
Known vulnerabilities in dependencies: 2 high
Affects packages this MCP installs at runtime. Upgrade or remove the affected dependency.
✅
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: GOOGLE_AI_API_KEY, UPSTASH_VECTOR_REST_TOKEN
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.🔐 secret
GOOGLE_AI_API_KEY— your_google_ai_api_key🔐 secret
UPSTASH_VECTOR_REST_TOKEN— your_upstash_vector_tokenconfig
UPSTASH_VECTOR_REST_URL— your_upstash_vector_url// 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 3 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
[](https://m8ven.ai/mcp/raunak-dev-18-context-mcp-13ts23)commit: 2f5f13e3791fc88660998f150c8466e1da5cebc3
code hash: 2ba153faa58dd8305b594c815231555f7b846bbcb540b5a3bcef531bbdd14b7d
verified: 4/11/2026, 3:10:34 PM