head to head · open source
Ollama vs mcp-server-elasticsearch
Ollama has 181,184 GitHub stars, 17,921 forks, 3,957 open issues and last shipped yesterday. mcp-server-elasticsearch has 717 stars, 153 forks, 23 open issues and last shipped today. Ollama leads on adoption by 25,170% (181,184 vs 717 stars). Ollama is written in Go under MIT; mcp-server-elasticsearch is written in Rust under Apache-2.0. Ollama has attracted 10% as many forks as stars, mcp-server-elasticsearch 21%. mcp-server-elasticsearch 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.
← all 8884 open source comparisons
Side by side
| Ollama | mcp-server-elasticsearch | |
|---|---|---|
| GitHub stars | ★ 181K | ★ 717 |
| License | MIT | Apache-2.0 |
| Written in | Go | Rust |
| Last push | 2026-09-17 | 2026-09-18 |
| Forks | ⑂ 18K | ⑂ 153 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Ollama if
- You weight community size — 181K stars and counting
- You want the MIT license terms
- Your stack matches Go
- 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 Ollama
Ollama is a Go based, MIT licensed runtime that downloads and runs open source large language models such as DeepSeek, Qwen, Gemma, GLM, MiniMax and gpt oss locally on a user's own machine, and it is aimed at developers and teams that want model inference without routing prompts through a hosted API.
read the full Ollama 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 It has been superseded by the Elastic Agent Builder MCP endpoint, which is available in Elastic 9.2.0+ and Elasticsearch Serverless projects.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 config…
read the full mcp-server-elasticsearch overview →
More in AI & Machine Learning
Related comparisons
More Machine Learning Infrastructure projects
Compare either of these against the rest of the Machine Learning Infrastructure field.
Frequently asked questions
Is Ollama or mcp-server-elasticsearch more popular?
Ollama has 181,184 GitHub stars and mcp-server-elasticsearch has 717. Ollama has the larger community by that measure.
Are Ollama and mcp-server-elasticsearch free?
Both are open source. Ollama is licensed under MIT and mcp-server-elasticsearch under Apache-2.0. Neither carries a licence fee.
What is the difference between Ollama and mcp-server-elasticsearch?
Ollama is written in Go 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, Ollama or mcp-server-elasticsearch?
Choose Ollama if you want the larger community (181,184 stars) or its MIT licence terms. Choose mcp-server-elasticsearch if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.