head to head · open source
lancedb vs mcp-server-elasticsearch
lancedb has 11,843 GitHub stars, 1,150 forks, 627 open issues and last shipped yesterday. mcp-server-elasticsearch has 729 stars, 160 forks, 23 open issues and last shipped 2 days ago. lancedb leads on adoption by 1,525% (11,843 vs 729 stars). lancedb is written in Rust under Apache-2.0; mcp-server-elasticsearch is written in Rust under Apache-2.0. lancedb has attracted 10% 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 | ★ 12K | ★ 729 |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Rust | Rust |
| Last push | 2026-11-04 | 2026-11-03 |
| Forks | ⑂ 1.1K | ⑂ 160 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick lancedb if
- You weight community size — 12K 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
The Multimodal AI Lakehouse How to Install ✦ Detailed Documentation ✦ Tutorials and Recipes ✦ Contributors The ultimate multimodal data platform for AI/ML applications. LanceDB is designed for fast, scalable, and production ready vector search. It is built on top of the Lance columnar format. You can store, index, and search over petabytes of multimodal data and vectors with ease. LanceDB is a central location where developers can build, train and analyze their AI workloads. Demo: Multimodal Search by Keyword, Vector or with SQL Star LanceDB to get updates! ⭐ Click here ⭐ to see how fast we're growing! Key…
read the full lancedb overview →
About mcp-server-elasticsearch
Elasticsearch MCP Server [!CAUTION] This MCP server is deprecated and will only receive critical security updates going forward. It has been superseded by the Elastic Agent Builder MCP endpoint, which is available in Elastic 9.2.0+ and Elasticsearch Serverless projects. Use the Elasticsearch MCP Server for AI Agents The Elasticsearch MCP Server connects your AI agents to Elasticsearch data using the Model Context Protocol (MCP). It enables natural language interactions with your Elasticsearch indices, allowing agents to query, analyze, and retrieve data without custom APIs. Follow these steps to deploy and…
read the full mcp-server-elasticsearch overview →
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Frequently asked questions
Is lancedb or mcp-server-elasticsearch more popular?
lancedb has 11,843 GitHub stars and mcp-server-elasticsearch has 729. 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 (11,843 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.