mcp-server-elasticsearch vs fetch
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-elasticsearch by elastic | fetch by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 662 | ★ 85,748 |
| 30d uses | — | — |
| Score | 49 | 76 |
| Official | — | ✓ |
| Categories | DatabaseSearchAI / LLM Tools | Web ScrapingAI / 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.
fetch · Summary
An MCP server that fetches web content and converts HTML to markdown, allowing LLMs to read web pages.
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
fetch · Use cases
- LLMs reading news articles and blogs
- Content analysis of web pages
- Retrieving information from public websites
- Chunked reading of large web documents
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>"
}
}
}
}fetch · Install
Installation
**Using uv (recommended)** No specific installation needed. Use uvx to run the server directly:
uvx mcp-server-fetch**Using PIP** Install via pip:
pip install mcp-server-fetchThen run as:
python -m mcp_server_fetchClaude Desktop Configuration
{
"mcpServers": {
"fetch": {
"command": "uvx",
"args": ["mcp-server-fetch"]
}
}
}