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Persistent memory layer for AI coding agents: save, recall, update via Gemini plus LanceDB
Gemdex 是 ChatHome Skills 收录的 MCP 条目，来源为 Official MCP Registry，质量分 73/100。 作为 Model Context Protocol 服务器，它向 Claude、Cursor、Copilot 等兼容 MCP 的 LLM 客户端暴露可直接调用的工具，让 agent 的能力超出模型内置范围。 该条目由 ChatHome Skills 的每日抓取从官方 registry 和 GitHub 发现查询中收录，每次运行都会重新核验仓库事实、新鲜度信号和安装元数据。 质量分综合了官方 registry 收录情况、可用安装命令、许可证完整性、仓库活跃度和 GitHub star 趋势，完整算法说明见来源页。安装命令已列于上方，可直接复制使用。 在将 Gemdex 加入生产 agent 工作流前，请核对上方的最近更新日期和仓库状态——下方事实快照是最近一次抓取的时点值。
npx -y gemdex-mcp@1.0.47运行此命令前，请先核对上游源码。
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-09-23T10:26:06.975218Z",
"publishedAt": "2026-09-23T10:26:06.975218Z",
"statusChangedAt": "2026-09-23T10:26:06.975218Z"
}
},
"server": {
"name": "io.github.nikships/gemdex",
"title": "Gemdex",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "1.0.47",
"packages": [
{
"version": "1.0.47",
"transport": {
"type": "stdio"
},
"identifier": "gemdex-mcp",
"runtimeHint": "npx",
"registryType": "npm",
"runtimeArguments": [
{
"type": "positional",
"value": "-y",
"valueHint": "auto-confirm install"
},
{
"type": "positional",
"value": "gemdex-mcp@1.0.47",
"valueHint": "package spec"
}
],
"environmentVariables": [
{
"name": "GEMINI_API_KEY",
"format": "string",
"isSecret": true,
"isRequired": true,
"description": "Google AI Studio key for local mode, or the exact value 'local' for on-device MLX text embeddings. Not needed in remote mode."
},
{
"name": "GEMDEX_MODE",
"format": "string",
"choices": [
"local",
"remote"
],
"default": "local",
"description": "Memory backend: embedded local LanceDB or a self-hosted Gemdex Server"
},
{
"name": "LANCEDB_PATH",
"format": "filepath",
"default": "~/.gemdex/lance",
"description": "Directory for the embedded LanceDB store"
},
{
"name": "EMBEDDING_MODEL",
"format": "string",
"choices": [
"gemini-embedding-2",
"gemini-embedding-001"
],
"default": "gemini-embedding-2",
"description": "Gemini text embedding model"
},
{
"name": "GEMDEX_REMOTE_URL",
"format": "string",
"description": "Gemdex Server root URL (required in remote mode)"
},
{
"name": "GEMDEX_REMOTE_TOKEN",
"format": "string",
"isSecret": true,
"description": "Gemdex Server bearer token (required in remote mode)"
},
{
"name": "GEMDEX_REMOTE_NAME",
"format": "string",
"description": "Human-readable name for the remote server"
},
{
"name": "GEMDEX_TRUST_RANKING",
"format": "boolean",
"default": "false",
"description": "Re-rank recall results by recorded worked/failed/stale outcomes"
}
]
}
],
"repository": {
"id": "1249655672",
"url": "https://github.com/nikships/gemdex",
"source": "github"
},
"websiteUrl": "https://github.com/nikships/gemdex",
"description": "Persistent memory layer for AI coding agents: save, recall, update via Gemini plus LanceDB"
}
}