head to head · open source
xerj vs mcp-server-elasticsearch
xerj has 18,817 GitHub stars, 1,435 forks, 16 open issues and last shipped yesterday. mcp-server-elasticsearch has 728 stars, 160 forks, 23 open issues and last shipped 6 days ago. xerj leads on adoption by 2,485% (18,817 vs 728 stars). xerj is written in Rust under Apache-2.0; mcp-server-elasticsearch is written in Rust under Apache-2.0. xerj has attracted 8% as many forks as stars, mcp-server-elasticsearch 22%. xerj was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (elasticsearch), 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
| xerj | mcp-server-elasticsearch | |
|---|---|---|
| GitHub stars | ★ 19K | ★ 728 |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Rust | Rust |
| Last push | 2026-11-02 | 2026-10-28 |
| Forks | ⑂ 1.4K | ⑂ 160 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick xerj if
- You weight community size — 19K 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 xerj
XERJ XERJ is a community trusted local AI search that indexes any folder automatically, so your coding agent stops burning tokens reading files one by one and pulls the exact code it needs instead. Reference coding is its main use case and the clearest win: point an agent at a task and it downloads the open source repos closest to it, indexes them, and reuses how they solved the problem before writing its own code. In a controlled study that cut a coding agent's output tokens by 2.7x at the same 16/16 solve rate (case study), and people report roughly 5x in everyday work (field reports). It is enough for a…
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 It has been superseded by the Elastic Agent Builder MCP endpoint, which is available in Elastic 9.2.0+ and Elasticsearch Serverless projects.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 xerj or mcp-server-elasticsearch more popular?
xerj has 18,817 GitHub stars and mcp-server-elasticsearch has 728. xerj has the larger community by that measure.
Are xerj and mcp-server-elasticsearch free?
Both are open source. xerj is licensed under Apache-2.0 and mcp-server-elasticsearch under Apache-2.0. Neither carries a licence fee.
What is the difference between xerj and mcp-server-elasticsearch?
xerj 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, xerj or mcp-server-elasticsearch?
Choose xerj if you want the larger community (18,817 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.