Ragora

Search across all your knowledge bases to retrieve relevant information instantly from connected documentation.

CommunityDegradedAPI key requiredGlobalFreeRead-only

What it can do

  • Discover Collections: Discover all knowledge bases you have access to. Returns collection names, descriptions, content types, stats, available operations, and usage examples for each collection. Call
  • Search: Search across ALL your knowledge bases at once. Use this when you want broad results or aren't sure which collection has the answer. For targeted search in a specific collection, use search_co
  • Search Collection: Search a specific knowledge base by name. Use discover_collections() first to find available collection names. Args: collection_name: Human-readable collection name or slug (e.g. "e

What data it sees

Do you need an account

An API key from the service settings is required

Search across all your knowledge bases to retrieve relevant information instantly from connected documentation. Discover specific collections and perform targeted queries to get precise answers for any topic. Compare information across multiple sources and monitor usage to manage your data assets efficiently.

How to connect

How to connect Ragora to Claude

The server address to paste into Claude settings:

https://ragora--velarynai.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect Ragora to ChatGPT

The server address to paste into ChatGPT settings:

https://ragora--velarynai.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect Ragora to Cursor

The server address to paste into Cursor settings:

https://ragora--velarynai.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (4)

Raw names from tools/list. Only developers need these.

discover_collectionsDiscover all knowledge bases you have access to. Returns collection names, descriptions, content types, stats, available operations, and usage examples for each collection. Call this first to understand what data is available before searching.
searchSearch across ALL your knowledge bases at once. Use this when you want broad results or aren't sure which collection has the answer. For targeted search in a specific collection, use search_collection() instead. Args: query: Natural language search query. top_k: Maximum number of results to return (default 5).
search_collectionSearch a specific knowledge base by name. Use discover_collections() first to find available collection names. Args: collection_name: Human-readable collection name or slug (e.g. "employee_handbook"). query: Natural language search query. top_k: Maximum number of results to return (default 5). custom_tags: Optional explicit tags to scope retrieval. filters: Optional metadata filters for explicit scoped retrieval.
check_balanceCheck your current credit balance. Returns your remaining balance and estimated USD value.