ultimate_mcp_server vs mcp-server-elasticsearch
Side-by-side comparison to help you pick between these two MCP servers.
ultimate_mcp_server by Dicklesworthstone | mcp-server-elasticsearch by elastic | |
|---|---|---|
| Stars | ★ 149 | ★ 662 |
| 30d uses | — | — |
| Score | 85 | 49 |
| Official | — | — |
| Categories | AI / LLM ToolsBrowser AutomationFile System | DatabaseSearchAI / LLM Tools |
| Language | Python | Rust |
| Last commit | 2 mo ago | this month |
ultimate_mcp_server · Summary
Comprehensive MCP server providing dozens of capabilities for AI agents including LLM delegation, browser automation, document processing, and cognitive memory systems.
mcp-server-elasticsearch · Summary
Deprecated Elasticsearch MCP server for AI agents to query and analyze data.
ultimate_mcp_server · Use cases
- Complex document processing and analysis with OCR and structured data extraction
- Web automation and research across multiple sites with browser control
- Cost-optimized AI workflows through intelligent task delegation between models
mcp-server-elasticsearch · Use cases
- AI agents querying Elasticsearch data using natural language
- Analysts extracting insights from Elasticsearch indices through AI assistants
- Building custom AI applications that interact with Elasticsearch data
ultimate_mcp_server · Install
Installation
- Clone the repository:
git clone https://github.com/Dicklesworthstone/ultimate_mcp_server.git
cd ultimate_mcp_server- Install dependencies:
pip install -e .- For Claude Desktop integration, add to your claude_desktop_config.json:
{
"mcpServers": {
"ultimate-mcp": {
"command": "python",
"args": ["-m", "ultimate_mcp_server"],
"env": {
"PYTHONPATH": "."
}
}
}
}- Run the server:
python -m ultimate_mcp_servermcp-server-elasticsearch · Install
Installation
The Elasticsearch MCP Server is provided as a Docker container image available from AWS Marketplace.
stdio protocol
docker run -i --rm \
-e ES_URL \
-e ES_API_KEY \
docker.elastic.co/mcp/elasticsearch \
stdioClaude Desktop configuration (stdio)
{
"mcpServers": {
"elasticsearch-mcp-server": {
"command": "docker",
"args": [
"run", "-i", "--rm",
"-e", "ES_URL",
"-e", "ES_API_KEY",
"docker.elastic.co/mcp/elasticsearch",
"stdio"
],
"env": {
"ES_URL": "<elasticsearch-cluster-url>",
"ES_API_KEY": "<elasticsearch-API-key>"
}
}
}
}