How do I install Gemdex?

Gemdex is a local plugin. Install it using npm package: gemdex-mcp and add the generated configuration snippet to your AI app's MCP config file. Then restart your AI app.

Is Gemdex safe to use?

Yes. Gemdex passed MCP Marketplace's automated security scan with a score of 9.2/10 (low risk). Every server on MCP Marketplace is security-scanned before it's listed; see the full security report on this page for the findings and permissions.

What credentials does Gemdex need?

Gemdex requires the following credentials or environment variables: GEMINI_API_KEY, GEMDEX_MODE, LANCEDB_PATH, EMBEDDING_MODEL, GEMDEX_REMOTE_URL, GEMDEX_REMOTE_TOKEN, GEMDEX_REMOTE_NAME, GEMDEX_TRUST_RANKING. You can find setup instructions on the server detail page.

What AI apps work with Gemdex?

Gemdex uses the Model Context Protocol (MCP) and works with any MCP-compatible AI app, including Claude, ChatGPT / Codex, Gemini, Copilot, Cursor, and more.

Back to Browse

Gemdex MCP Server

by Nikships

Developer ToolsLow Risk9.2MCP RegistryLocal

Free

Server data from the Official MCP Registry

Persistent memory layer for AI coding agents: save, recall, update via Gemini plus LanceDB

About

Persistent memory layer for AI coding agents: save, recall, update via Gemini plus LanceDB

Security Report

9.2

Low Risk9.2Low Risk

Valid MCP server (1 strong, 1 medium validity signals). 1 known CVE in dependencies ⚠️ Package registry links to a different repository than scanned source. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.

12 files analyzed · 2 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

file_system

Check that this permission is expected for this type of plugin.

What You'll Need

Set these up before or after installing:

Google AI Studio key for local mode, or the exact value 'local' for on-device MLX text embeddings. Not needed in remote mode.Required

Environment variable: GEMINI_API_KEY

Memory backend: embedded local LanceDB or a self-hosted Gemdex ServerOptional

Environment variable: GEMDEX_MODE

Directory for the embedded LanceDB storeOptional

Environment variable: LANCEDB_PATH

Gemini text embedding modelOptional

Environment variable: EMBEDDING_MODEL

Gemdex Server root URL (required in remote mode)Optional

Environment variable: GEMDEX_REMOTE_URL

Gemdex Server bearer token (required in remote mode)Required

Environment variable: GEMDEX_REMOTE_TOKEN

Human-readable name for the remote serverOptional

Environment variable: GEMDEX_REMOTE_NAME

Re-rank recall results by recorded worked/failed/stale outcomesOptional

Environment variable: GEMDEX_TRUST_RANKING

How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "io-github-nikships-gemdex": {
      "env": {
        "GEMDEX_MODE": "your-gemdex-mode-here",
        "LANCEDB_PATH": "your-lancedb-path-here",
        "GEMINI_API_KEY": "your-gemini-api-key-here",
        "EMBEDDING_MODEL": "your-embedding-model-here",
        "GEMDEX_REMOTE_URL": "your-gemdex-remote-url-here",
        "GEMDEX_REMOTE_NAME": "your-gemdex-remote-name-here",
        "GEMDEX_REMOTE_TOKEN": "your-gemdex-remote-token-here",
        "GEMDEX_TRUST_RANKING": "your-gemdex-trust-ranking-here"
      },
      "args": [
        "-y",
        "gemdex-mcp",
        "-y",
        "gemdex-mcp@1.0.47"
      ],
      "command": "npx"
    }
  }
}

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4.8

Local

mcp-creator-python

Free

by mcp-marketplace · Developer Tools

Create, build, and publish Python MCP servers to PyPI — conversationally.

Gemdex MCP Server

About

Security Report

Findings (2)

Permissions Required

What You'll Need

How to Install

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