head to head · open source
lancedb vs mcp-server-elasticsearch
lancedb has 11,473 GitHub stars, 1,060 forks, 627 open issues and last shipped yesterday. mcp-server-elasticsearch has 718 stars, 155 forks, 23 open issues and last shipped yesterday. lancedb leads on adoption by 1,498% (11,473 vs 718 stars). lancedb is written in Rust under Apache-2.0; mcp-server-elasticsearch is written in Rust under Apache-2.0. lancedb has attracted 9% as many forks as stars, mcp-server-elasticsearch 22%. lancedb was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (vector-database), so they are genuine substitutes rather than adjacent tools.
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
| lancedb | mcp-server-elasticsearch | |
|---|---|---|
| GitHub stars | ★ 11K | ★ 718 |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Rust | Rust |
| Last push | 2026-09-19 | 2026-09-19 |
| Forks | ⑂ 1.1K | ⑂ 155 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick lancedb if
- You weight community size — 11K 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-server-elasticsearch if
- You want the mcp-server-elasticsearch feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Rust
- You evaluated both and mcp-server-elasticsearch fits your workflow better
About lancedb
LanceDB is an open source, developer friendly embedded retrieval library for multimodal AI, maintained in Rust and released under the Apache 2.0 license. It describes itself as a multimodal AI lakehouse: a single place where developers can build, train and analyze AI workloads over vectors, metadata and multimodal data such as text, images, videos and point clouds. It is built on top of the Lance columnar format, which provides the storage layer for efficient storage and analytics.
read the full lancedb overview →
About mcp-server-elasticsearch
Connects AI agents to Elasticsearch data over Model Context Protocol so agents can query, analyze, and retrieve from indices in natural language without custom APIs — built for teams running Elasticsearch 8.x or 9.x that want MCP compatible clients such as Claude Desktop, Cursor, or VS Code to read their indices, though it is now deprecated in favour of the Elastic Agent Builder MCP endpoint.
read the full mcp-server-elasticsearch overview →
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Frequently asked questions
Is lancedb or mcp-server-elasticsearch more popular?
lancedb has 11,473 GitHub stars and mcp-server-elasticsearch has 718. lancedb has the larger community by that measure.
Are lancedb and mcp-server-elasticsearch free?
Both are open source. lancedb is licensed under Apache-2.0 and mcp-server-elasticsearch under Apache-2.0. Neither carries a licence fee.
What is the difference between lancedb and mcp-server-elasticsearch?
lancedb is written in Rust and mcp-server-elasticsearch in Rust. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, lancedb or mcp-server-elasticsearch?
Choose lancedb if you want the larger community (11,473 stars) or its Apache-2.0 licence terms. Choose mcp-server-elasticsearch if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.