by qdrant · MCP Server · ★ 1.5k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mcp-server-qdrant safe to install? View the security audit →
mcp-server-qdrant: A Qdrant MCP server The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you're building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need. This repository is an example of how to create a MCP server for Qdrant, a vector search engine. Overview An official Model Context Protocol server for keeping and retrieving memories in the Qdrant vector search engine. It acts as a semantic memory layer on top of the Qdrant database. Components Tools Store some information in the Qdrant database Input: (string): Information to store (JSON): Optional metadata to store (string): Name of the collection to store the information in. This field is required if there are no default collection name. If there is a default collection name, this field is not enabled. Returns: Confirmation message Retrieve relevant information from the Qdrant database Input: (string): Query to use for searching
uvx mcp-server-qdrant
uvx mcp-server-qdrant --transport sseTaken from the project's README on GitHub. Check the security audit before running it.
No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
| Stars | 1,495 |
| Forks | 293 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 77.9772871228028/100 |
| Open Issues | 71 |
| Last Updated | 2026-08-11 |
| Created | 2024-12-02 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~18k |
Looking for a mcp-server-qdrant alternative? If you're comparing mcp-server-qdrant with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
AI Skills, MCP Tools, and CLI for Unity Engine. Full AI develop and test loop. Use cli for quick setup. Effici
Excel MCP server: let AI (Claude, Cursor, VS Code) create and edit Excel files with charts, PivotTables, slice
Token conscious database MCP server for Postgres, MySQL, SQL Server, Oracle, MariaDB, SQLite.
Private web search for AI assistants via SearXNG — supports Claude, Cursor, and any MCP client
Give Claude Code, Cursor, Codex CLI a ChatGPT for your codebase. Multi-agent knowledge engine, grounded Q&A wi
Official remote MCP server for Atlassian. Securely connect Jira, Confluence, Jira Service Management, Bitbucke
Explore other popular mcp server tools:
mcp-server-qdrant is An official Qdrant Model Context Protocol (MCP) server implementation. It is categorized as a MCP Server with 1.5k GitHub stars.
mcp-server-qdrant is primarily written in Python. It covers topics such as claude, cursor, llm.
The README on GitHub (github.com/qdrant/mcp-server-qdrant) gives: uvx mcp-server-qdrant , then uvx mcp-server-qdrant --transport sse. Usage details are in the same README.
mcp-server-qdrant is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to mcp-server-qdrant on Agent Skills Hub include Unity-MCP, excel-mcp-server, dbhub. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: