Search your knowledge bases from any AI assistant using hybrid RAG.
If you already use Ragora, the ragora mcp server is the piece that lets your assistant work with it directly. Search your knowledge bases from any AI assistant using hybrid RAG.
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
search_employee_handbook — get_topic_employee_handbookdiscover_collections — List all knowledge bases you have access to, with descriptions, stats, and usage examplessearch — Search across all your knowledge bases at oncesearch_collection — Search a specific collection by name, with optional tag/metadata filtersCursor — The Cursor tool exposed by this serverWindsurf — The Windsurf tool exposed by this serverBecause this one is hosted, setup is mostly authentication — you point your client at the endpoint and approve access. Nothing runs on your machine, so there is no runtime to keep patched.
Plenty of AI and media services servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Ragora's toolset — search_employee_handbook, discover_collections, search and 3 more — is a fair guide to whether it matches your workflow. It is maintained by mregmi; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| search_employee_handbook | get_topic_employee_handbook |
| 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 |
| Cursor | The Cursor tool exposed by this server. |
| Windsurf | The Windsurf tool exposed by this server. |
{
"mcpServers": {
"ragora": {
"type": "http",
"url": "https://mcp.ragora.app/mcp",
"headers": {
"Authorization": "Bearer sk_live_your_key_here"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.