Connect your docs, repos, and tools into a knowledge base that AI assistants can query directly.
No complex setup. Connect your sources and Ragomotive handles the indexing, tagging, and serving.
Link GitHub repos, Slack channels, Notion workspaces, or any tool your team already uses. OAuth or API key --- your choice.
Content is fetched, chunked, embedded with pgvector, and auto-tagged. Your knowledge is organized without any manual work.
Your AI tools query the knowledge base via MCP --- accurate answers grounded in your team's real, up-to-date data.
Ragomotive connects to the tools your team already uses. Authorize once, stay synced automatically.
Issues, pull requests, and code reviews from your repositories.
Messages, threads, and shared knowledge from your channels.
Pages, databases, and wiki content from your workspace.
Emails and threads from Gmail, Outlook, or any IMAP mailbox.
Documents, spreadsheets, and presentations from shared drives.
Pages and spaces from your Atlassian wiki.
Issues, epics, and project updates from your boards.
Everything you need to keep knowledge accessible and AI tools grounded in reality.
Your knowledge base speaks MCP natively. Claude Desktop, Cursor, Windsurf, or any compliant client connects with a single config --- no plugins, no glue code.
Set sync schedules per source. Ragomotive re-fetches, re-indexes, and updates embeddings automatically. No stale data, no manual re-imports.
Content is auto-tagged using embedding similarity. Tags are themselves embedded, so even novel content finds its place in your taxonomy.
Use your own OpenAI, Anthropic, Cohere, or Voyage API keys. Your data, your providers.
Multi-tenant from the start. Each org gets isolated data, keys, and access control.
Beyond flat search. Neo4j relationships surface connections your team didn't know existed.
Any MCP-compatible assistant can query your knowledge base. Add a few lines of config and your AI has instant access to everything your team knows.
Copy this into your AI tool's config file. Replace the URL with your organization's endpoint and the token with your API key from the dashboard.
{
"mcpServers": {
"ragomotive": {
"url": "https://<your-org>.ragomotive.com/mcp",
"headers": {
"Authorization": "Bearer rm_live_..."
}
}
}
}
Desktop app
Add to claude_desktop_config.json in your Claude app data folder.
CLI & IDE extensions
Add to .claude/settings.json in your project or home directory.
IDE
Add to .cursor/mcp.json in your project root, or go to Settings → MCP.
Chat
Open Settings → MCP Servers → Add. Paste your Ragomotive endpoint URL and API key.
Chat & AI Studio
Add as a remote MCP server in Google AI Studio or the Gemini app settings.
CLI agent
Add to codex-config.json or pass via --mcp-config flag.