Gemdex MCP Server

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

Local serverstdio

What is the Gemdex MCP Server?

Gemdex is an MCP integration. Persistent memory layer for AI coding agents: save, recall, update via Gemini plus LanceDB.

Packages and local setup

The published npm package is gemdex-mcp, version 1.0.47. Its declared MCP transport is stdio.

The package declares GEMINI_API_KEY (required): Google AI Studio key for local mode, or the exact value 'local' for on-device MLX text embeddings. Not needed in remote mode.; GEMDEX_MODE: Memory backend: embedded local LanceDB or a self-hosted Gemdex Server; LANCEDB_PATH: Directory for the embedded LanceDB store; EMBEDDING_MODEL: Gemini text embedding model; GEMDEX_REMOTE_URL: Gemdex Server root URL (required in remote mode); GEMDEX_REMOTE_TOKEN: Gemdex Server bearer token (required in remote mode); GEMDEX_REMOTE_NAME: Human-readable name for the remote server; GEMDEX_TRUST_RANKING: Re-rank recall results by recorded worked/failed/stale outcomes.

This package has launch arguments in its registry record. Use the maintainer’s configuration for those arguments rather than launching it with only the package name.

Before connecting

Check the maintainer’s instructions for account access, authentication and the supported client configuration. Once connected, inspect the tools your client receives and try a small task that matches the server’s stated purpose. The registry description does not include a verified, complete tool list.

Project and source

View the publisher’s registry entry · Project repository · Project website. This profile uses version 1.0.47 from the registry. Registration identifies the publisher namespace; it does not establish that this is a first-party integration for every service it connects.

Browse related developer tools MCP servers for tools that cover the same kind of work.

Configuration

VariableDescriptionRequired
GEMINI_API_KEYGoogle AI Studio key for local mode, or the exact value 'local' for on-device MLX text embeddings. Not needed in remote mode.Yes
GEMDEX_MODEMemory backend: embedded local LanceDB or a self-hosted Gemdex ServerOptional
LANCEDB_PATHDirectory for the embedded LanceDB storeOptional
EMBEDDING_MODELGemini text embedding modelOptional
GEMDEX_REMOTE_URLGemdex Server root URL (required in remote mode)Optional
GEMDEX_REMOTE_TOKENGemdex Server bearer token (required in remote mode)Optional
GEMDEX_REMOTE_NAMEHuman-readable name for the remote serverOptional
GEMDEX_TRUST_RANKINGRe-rank recall results by recorded worked/failed/stale outcomesOptional