head to head · open source
Qdrant vs mcp-toolbox
Qdrant has 34,638 GitHub stars, 2,680 forks, 704 open issues and last shipped yesterday. mcp-toolbox has 16,443 stars, 1,727 forks, 292 open issues and last shipped yesterday. Qdrant leads on adoption by 111% (34,638 vs 16,443 stars). Qdrant is written in Rust under Apache-2.0; mcp-toolbox is written in Go under Apache-2.0. Qdrant has attracted 8% as many forks as stars, mcp-toolbox 11%. mcp-toolbox was the more recently maintained of the two, and both are self-hostable with no licence fee.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| Qdrant | mcp-toolbox | |
|---|---|---|
| GitHub stars | ★ 35K | ★ 16K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Rust | Go |
| Last push | 2026-09-17 | 2026-09-17 |
| Forks | ⑂ 2.7K | ⑂ 1.7K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Qdrant if
- You weight community size — 35K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Rust
- You value the larger contributor base for long-term maintenance
pick mcp-toolbox if
- You want the mcp-toolbox feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Go
- You evaluated both and mcp-toolbox fits your workflow better
About Qdrant
Qdrant is a vector similarity search engine and database built in Rust, designed for production use in AI applications. It stores, manages, and retrieves high dimensional vectors alongside associated metadata (payloads), supporting fast nearest neighbor search with filtering. It solves the problem of efficiently performing semantic or neural based matching at scale—such as finding similar images, recommending content, or powering retrieval augmented generation (RAG)—by replacing slow or inflexible brute force or index based approaches with a purpose built engine optimized for vector operations.…
read the full Qdrant overview →
About mcp-toolbox
MCP Toolbox for Databases is an open source Model Context Protocol (MCP) server, written in Go and licensed under Apache 2.0, that connects AI agents, IDEs, and applications directly to enterprise databases.
read the full mcp-toolbox overview →
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Frequently asked questions
Is Qdrant or mcp-toolbox more popular?
Qdrant has 34,638 GitHub stars and mcp-toolbox has 16,443. Qdrant has the larger community by that measure.
Are Qdrant and mcp-toolbox free?
Both are open source. Qdrant is licensed under Apache-2.0 and mcp-toolbox under Apache-2.0. Neither carries a licence fee.
What is the difference between Qdrant and mcp-toolbox?
Qdrant is written in Rust and mcp-toolbox in Go. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Qdrant or mcp-toolbox?
Choose Qdrant if you want the larger community (34,638 stars) or its Apache-2.0 licence terms. Choose mcp-toolbox if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.