head to head · open source
cognee vs mcp-server-elasticsearch
cognee has 33,036 GitHub stars, 3,456 forks, 495 open issues and last shipped 2 days ago. mcp-server-elasticsearch has 729 stars, 160 forks, 23 open issues and last shipped 2 days ago. cognee leads on adoption by 4,432% (33,036 vs 729 stars). cognee is written in Python under Apache-2.0; mcp-server-elasticsearch is written in Rust under Apache-2.0. cognee has attracted 10% as many forks as stars, mcp-server-elasticsearch 22%. 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.
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Side by side
| cognee | mcp-server-elasticsearch | |
|---|---|---|
| GitHub stars | ★ 33K | ★ 729 |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Rust |
| Last push | 2026-11-03 | 2026-11-03 |
| Forks | ⑂ 3.5K | ⑂ 160 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick cognee if
- You weight community size — 33K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Python
- 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 cognee
Cognee The Open Source AI Memory Platform for Agents Demo . Docs . Learn More · Join Discord · Join r/AIMemory . Community Plugins & Add ons Cognee is the open source AI memory platform that gives AI agents persistent long term memory across sessions. Ingest data in any format, build a self hosted knowledge graph, and let every agent recall, connect, and act with full context 🌐 This README is also available in: Deutsch Español Français 日本語 한국어 Português Русский 中文 📄 Read the research paper: Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning — Markovic et al., 2025 When to use…
read the full cognee 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 It has been superseded by the Elastic Agent Builder MCP endpoint, which is available in Elastic 9.2.0+ and Elasticsearch Serverless projects.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 cognee or mcp-server-elasticsearch more popular?
cognee has 33,036 GitHub stars and mcp-server-elasticsearch has 729. cognee has the larger community by that measure.
Are cognee and mcp-server-elasticsearch free?
Both are open source. cognee is licensed under Apache-2.0 and mcp-server-elasticsearch under Apache-2.0. Neither carries a licence fee.
What is the difference between cognee and mcp-server-elasticsearch?
cognee is written in Python 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, cognee or mcp-server-elasticsearch?
Choose cognee if you want the larger community (33,036 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.