head to head · open source

Ollama vs mcp-server-elasticsearch

Ollama has 185,702 GitHub stars, 18,873 forks, 3,957 open issues and last shipped yesterday. mcp-server-elasticsearch has 728 stars, 160 forks, 23 open issues and last shipped 6 days ago. Ollama leads on adoption by 25,409% (185,702 vs 728 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 22%. Ollama 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.

Ollama ★ 186K mcp-server-elasticsearch ★ 728 category AI & Machine Learning

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Side by side

Ollama mcp-server-elasticsearch
GitHub stars ★ 186K ★ 728
License MIT Apache-2.0
Written in Go Rust
Last push 2026-11-02 2026-10-28
Forks ⑂ 19K ⑂ 160
Self-hosting Yes Yes
Data ownership Your server Your server

pick Ollama if

  • You weight community size — 186K stars and counting
  • You want the MIT license terms
  • Your stack matches Go
  • You value the larger contributor base for long-term maintenance

full Ollama profile →

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

full mcp-server-elasticsearch profile →

About Ollama

Ollama Start building with open models. Download macOS or download manually Windows or download manually Linux Manual install instructions Docker The official Ollama Docker image ollama/ollama is available on Docker Hub. Libraries ollama python ollama js Community Discord 𝕏 (Twitter) Reddit Get started You'll be prompted to run a model or connect Ollama to your existing agents or applications such as Claude Code , OpenClaw , OpenCode , Codex , Copilot , and more. Coding To launch a specific integration: Supported integrations include Claude Code, Codex, Copilot CLI, DeepSeek Harness, Droid, and OpenCode. AI…

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 It has been superseded by the Elastic Agent Builder MCP endpoint, which is available in Elastic 9.2.0+ and Elasticsearch Serverless projects.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…

read the full mcp-server-elasticsearch overview →

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Frequently asked questions

Is Ollama or mcp-server-elasticsearch more popular?

Ollama has 185,702 GitHub stars and mcp-server-elasticsearch has 728. 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 (185,702 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.