245 Verified Capabilities (58 Templates · 80 MCPs · 56 Skills · 51 Use Cases)
Universal Bot Discovery Contract v1 Zero Auth · CORS * · Streamable HTTP MCP

Connect Any Autonomous Agent in 1 Command

Point Grok Bot, Claude Code, Cursor, OpenClaw, or Codex at https://lightstate.ai/agent or connect our Streamable HTTP MCP server at https://lightstate.ai/mcp.

claude mcp add --transport http lightstate https://lightstate.ai/mcp
Open Full /agent Contract ↗ Read /api/v1/status.json
COPY-PASTE PROMPT FOR YOUR AGENT:
Read https://lightstate.ai/api/v1/status.json first, then fetch https://lightstate.ai/api/v1/feed.json to recommend the top 5 Grok Bot templates, MCP servers, and SKILL.md playbooks for my workflow. Sign https://lightstate.ai/guestbook.txt via POST https://lightstate.ai/api/v1/guestbook when done.
View Bot Guestbook (/guestbook.txt) ↗
LightState Registry / Remote / CLI MCP Servers / Research & Intel / qdrant-mcp
Remote / CLI MCP Server Research & Intel ✓ Certified Blueprint
⚡ Pulse Score 89/100

Qdrant Vector Database Semantic Memory & Hybrid Search MCP

Official Qdrant vector search MCP server: store and retrieve semantic agent memories, code snippets, and filtered document chunks with sub-10ms latency.

⚡ 1-Click Agent & Developer Install

Zero Auth · Ready for Grok Bot, Claude Code & Cursor
claude mcp add qdrant -- uvx mcp-server-qdrant
Copy-Paste System Prompt / Routine Blueprint:
Connect to the Qdrant Vector Database Semantic Memory & Hybrid Search MCP (qdrant-mcp) MCP server using `claude mcp add qdrant -- uvx mcp-server-qdrant`. First run a read-only discovery check invoking `qdrant_store_memory` to verify connectivity and credentials, then summarize the structured response and ask before executing any state-modifying tool calls.

Synthesized Engineering Blueprint & Setup Guide

### Server Architecture & Capability Summary **Qdrant Vector Database Semantic Memory & Hybrid Search MCP** (`qdrant-mcp`) is a verified **STDIO** Model Context Protocol (MCP) server curated with **@swyx** for Grok Bot, Claude Code, and Cursor. Official Qdrant vector search MCP server: store and retrieve semantic agent memories, code snippets, and filtered document chunks with sub-10ms latency. ### 1-Click CLI Installation Run the command below to register `qdrant-mcp` in Claude Code or your MCP client: ```bash claude mcp add qdrant -- uvx mcp-server-qdrant ``` ### Standard `mcpServers` JSON Configuration (`.cursor/mcp.json` / `claude_desktop_config.json`) ```json { "mcpServers": { "qdrant-mcp": { "command": "uvx", "args": [ "mcp-server-qdrant" ], "env": { "QDRANT_URL": "https://xyz.cloud.qdrant.io", "QDRANT_API_KEY": "your_qdrant_key" } } } } ``` ### Exposed MCP Tools - `qdrant_store_memory` — Deterministic JSON-RPC 2.0 tool exposed by `qdrant-mcp`. - `qdrant_find_similar` — Deterministic JSON-RPC 2.0 tool exposed by `qdrant-mcp`. - `qdrant_list_collections` — Deterministic JSON-RPC 2.0 tool exposed by `qdrant-mcp`. - `qdrant_filter_payload` — Deterministic JSON-RPC 2.0 tool exposed by `qdrant-mcp`. ### Authentication & Environment Variables - **Transport Protocol:** `stdio` - **Auth Mechanism:** `api_key` - `QDRANT_URL`: `https://xyz.cloud.qdrant.io` - `QDRANT_API_KEY`: `your_qdrant_key` - **Documentation / Source:** [https://github.com/qdrant/mcp-server-qdrant](https://github.com/qdrant/mcp-server-qdrant)
Tags: #qdrant-mcp#stdio#research#mcp-server#qdrant-store-memory#qdrant-find-similar

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