Search your knowledge bases from any AI assistant using hybrid RAG.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"ragora": {
"url": "https://mcp.ragora.app/mcp",
"type": "http",
"headers": {
"Authorization": "Bearer sk_live_your_key_here"
}
}
}
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Search your knowledge bases from any AI assistant using hybrid RAG.
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Search your knowledge bases from any AI assistant using the Model Context Protocol.
Ragora's MCP server is a hosted cloud service — no local installation required. Just configure your AI tool with the server URL and your API key.
Server URL: https://mcp.ragora.app/mcp
Sign up at ragora.app and create an API key at Settings > API Keys.
Option 1: CLI (recommended)
claude mcp add --transport http ragora https://mcp.ragora.app/mcp \
--header "Authorization: Bearer sk_live_your_key_here"
Option 2: Config file
Add to ~/Library/Application Support/Claude/claude_desktop_config.json (Mac) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": {
"ragora": {
"type": "http",
"url": "https://mcp.ragora.app/mcp",
"headers": {
"Authorization": "Bearer sk_live_your_key_here"
}
}
}
}
claude mcp add --transport http ragora https://mcp.ragora.app/mcp \
--header "Authorization: Bearer sk_live_your_key_here"
Add to .cursor/mcp.json in your project root:
{
"mcpServers": {
"ragora": {
"type": "http",
"url": "https://mcp.ragora.app/mcp",
"headers": {
"Authorization": "Bearer sk_live_your_key_here"
}
}
}
}
Add to .vscode/mcp.json in your project root:
{
"mcpServers": {
"ragora": {
"type": "http",
"url": "https://mcp.ragora.app/mcp",
"headers": {
"Authorization": "Bearer sk_live_your_key_here"
}
}
}
}
Add to ~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": {
"ragora": {
"serverUrl": "https://mcp.ragora.app/mcp",
"headers": {
"Authorization": "Bearer sk_live_your_key_here"
}
}
}
}
Ragora uses Streamable HTTP transport. Point any MCP-compatible client to:
https://mcp.ragora.app/mcpPOSTAuthorization: Bearer sk_live_your_key_here| Tool | Description |
|---|---|
discover_collections | List all knowledge bases you have access to, with descriptions, stats, and usage examples |
search | Search across all your knowledge bases at once |
search_collection | Search a specific collection by name, with optional tag/metadata filters |
search(query, top_k?)
query (required): Natural language search querytop_k (optional): Number of results to return (default: 5)search_collection(collection_name, query, top_k?, custom_tags?, filters?)
collection_name (required): Collection name or slug (use discover_collections to find names)query (required): Natural language search querytop_k (optional): Number of results (default: 5)custom_tags (optional): Tags to scope retrievalfilters (optional): Metadata filtersFor each collection you have access to, dedicated tools are generated using the collection's slug:
search_{slug} — semantic search with optional version, tags, and filtersget_topic_{slug} — retrieve information about a specific topiclist_versions_{slug} — list available documentation versionsFor example, a collection called "Employee Handbook" gets:
search_employee_handbookget_topic_employee_handbooklist_versions_employee_handbookConfigure tool names and descriptions in the Ragora dashboard under Collection > MCP Settings.
Search all collections:
"Search my