What does the retrieve tool do?
Searches the Ragie knowledge base for chunks matching a query and returns an array of content with matching text.
@MCP-Mirror
Basic information
Mirror of
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"ragieai_ragie-mcp-server": {
"command": "npx",
"args": [
"@ragieai/mcp-server"
],
"env": {
"RAGIE_API_KEY": "your_api_key"
}
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
A Model Context Protocol (MCP) server that provides access to Ragie's knowledge base retrieval capabilities. It implements the Model Context Protocol to enable AI models to retrieve information from a Ragie knowledge base.
Install and run with npx: set the RAGIE_API_KEY environment variable and optionally use --description and --partition flags. Configure the server for use with Cursor or Claude Desktop by adding a mcp.json or claude_desktop_config.json file.
retrieve tool for searching the knowledge basetopK, rerank, and recencyBias--description flag--partition flagSearches the Ragie knowledge base for chunks matching a query and returns an array of content with matching text.
Node.js >= 18 and a valid Ragie API key set as the `RAGIE_API_KEY` environment variable.
Use the `--description` (or `-d`) flag when starting the server, e.g., `--description "Search the company knowledge base"`.
Use the `--partition` (or `-p`) flag with the partition ID, e.g., `--partition your_partition_id`.
Add a `claude_desktop_config.json` file with the server command and environment variables, then restart Claude Desktop.
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