mcp-server-elasticsearch vs memory
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-elasticsearch by elastic | memory by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 662 | ★ 85,748 |
| 30d uses | — | — |
| Score | 49 | 77 |
| Official | — | ✓ |
| Categories | DatabaseSearchAI / LLM Tools | Knowledge GraphAI / LLM ToolsProductivity |
| Language | Rust | TypeScript |
| Last commit | this month | this month |
mcp-server-elasticsearch · Summary
Deprecated Elasticsearch MCP server for AI agents to query and analyze data.
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
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
memory · Use cases
- Personalizing AI assistant interactions by remembering user preferences, history, and relationships
- Building context-aware chat applications that maintain conversation history
- Creating knowledge bases that persist across AI model sessions
mcp-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>"
}
}
}
}memory · Install
Installation
Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"memory": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-memory"
]
}
}
}VS Code
Use one-click installation buttons or manually configure in .vscode/mcp.json:
{
"servers": {
"memory": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-memory"
]
}
}
}Docker
{
"mcpServers": {
"memory": {
"command": "docker",
"args": ["run", "-i", "-v", "claude-memory:/app/dist", "--rm", "mcp/memory"]
}
}
}