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Exposes the full Qdrant vector database API as 56 MCP tools, not just store/find.
Qdrant MCP 是 ChatHome Skills 收录的 MCP 条目，来源为 Official MCP Registry，质量分 78/100。 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 Qdrant MCP 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。
uvx mcp-qdrant==2.6.0运行此命令前，请先核对上游源码。
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-10-20T22:17:06.730933Z",
"publishedAt": "2026-10-20T22:17:06.730933Z",
"statusChangedAt": "2026-10-20T22:17:06.730933Z"
}
},
"server": {
"name": "io.github.avaazquezz/mcp-qdrant",
"title": "Qdrant MCP",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "2.6.0",
"packages": [
{
"version": "2.6.0",
"transport": {
"type": "stdio"
},
"identifier": "mcp-qdrant",
"runtimeHint": "uvx",
"registryType": "pypi",
"registryBaseUrl": "https://pypi.org",
"environmentVariables": [
{
"name": "QDRANT_URL",
"description": "Qdrant server URL, e.g. http://localhost:6333 (mutually exclusive with QDRANT_LOCAL_PATH)"
},
{
"name": "QDRANT_API_KEY",
"isSecret": true,
"description": "Qdrant API key, if your instance requires one"
},
{
"name": "QDRANT_LOCAL_PATH",
"description": "Path to an embedded Qdrant instance, instead of a URL"
},
{
"name": "QDRANT_MCP_TOOLSETS",
"default": "core",
"description": "Comma-separated toolsets to enable: core, search, payload, admin, snapshots, observability"
},
{
"name": "QDRANT_MCP_READ_ONLY",
"default": "false",
"description": "Remove every tool not marked read-only from the registry"
},
{
"name": "QDRANT_MCP_MAX_LIMIT",
"default": "1000",
"description": "Largest number of points one tool call may ask for (minimum 30); bigger requests are refused, not cut"
}
]
}
],
"repository": {
"url": "https://github.com/avaazquezz/Qdrant-MCP",
"source": "github"
},
"websiteUrl": "https://mcp-qdrant.vazquezlabs.com",
"description": "Exposes the full Qdrant vector database API as 56 MCP tools, not just store/find."
}
}