Trust score
60/100
MarketNow Registry / AI/ML / @qmediat.io/gemini-code-context-mcp
@qmediat.io/gemini-code-context-mcp
MCP server that gives Claude Code persistent memory of your codebase, backed by Gemini's 2M-token context. Includes eager `ask`/`code` for cached repo Q&A and `ask_agentic` for agentic file access on
AI/ML
v1.16.3
by qmediat
Install risk
Runs registry code
Downloads / week
0
Source
npm-registry
Indexed
2026-09-09
Install
$ npx -y @qmediat.io/gemini-code-context-mcpInstalling via npx/uvx/npm install executes arbitrary code from the public registry on your machine. This is the install-risk semantic of the MarketNow catalog — verify the publisher before running it.
Adoption evidence: 0 weekly registry downloads.
How MarketNow scored this
Sentinel Index Heuristics — a security-first estimate from public signals:
- Package age and release activity (stale repositories lose points)
- Verified adoption: registry downloads or GitHub stars, not follower counts
- Typosquat distance against the 150 most-installed MCP packages
- Injection markers scanned in the package description
Heuristic, not a guarantee. For verified agent credentials and revocation, see the MarketNow Trust API.
What is @qmediat.io/gemini-code-context-mcp?
MCP server that gives Claude Code persistent memory of your codebase, backed by Gemini's 2M-token context. Includes eager `ask`/`code` for cached repo Q&A and `ask_agentic` for agentic file access on Indexed by MarketNow with trust 60/100 (Runs registry code).
How do I install it?
Run $ npx -y @qmediat.io/gemini-code-context-mcp Installing via npx/uvx/npm install executes arbitrary code from the public registry on your machine. This is the install-risk semantic of the MarketNow catalog — verify the publisher before running it.
What does the trust score mean?
Security-first heuristic over public signals (age, adoption, typosquat distance, injection markers). It is not a popularity ranking and not a guarantee of safety. @qmediat.io/gemini-code-context-mcp scores 60/100.