Built on the open MCP standard

Your team's knowledge,ready for AI

Connect your docs, repos, and tools into a knowledge base that AI assistants can query directly.

Connects to
GitHub Slack Notion Google Drive Confluence Jira

Three steps to grounded AI

No complex setup. Connect your sources and Ragomotive handles the indexing, tagging, and serving.

01

Connect your sources

Link GitHub repos, Slack channels, Notion workspaces, or any tool your team already uses. OAuth or API key --- your choice.

02

Automatic indexing

Content is fetched, chunked, embedded with pgvector, and auto-tagged. Your knowledge is organized without any manual work.

03

AI gets the full picture

Your AI tools query the knowledge base via MCP --- accurate answers grounded in your team's real, up-to-date data.

All your knowledge, one place

Ragomotive connects to the tools your team already uses. Authorize once, stay synced automatically.

GitHub

Issues, pull requests, and code reviews from your repositories.

Slack

Messages, threads, and shared knowledge from your channels.

Notion

Pages, databases, and wiki content from your workspace.

Email

Emails and threads from Gmail, Outlook, or any IMAP mailbox.

Google Drive

Soon

Documents, spreadsheets, and presentations from shared drives.

Confluence

Soon

Pages and spaces from your Atlassian wiki.

Jira

Soon

Issues, epics, and project updates from your boards.

Built for teams that ship

Everything you need to keep knowledge accessible and AI tools grounded in reality.

Core

MCP-native from day one

Your knowledge base speaks MCP natively. Claude Desktop, Cursor, Windsurf, or any compliant client connects with a single config --- no plugins, no glue code.

Available tools:
search_knowledge — semantic search across all sources
ask_question — RAG-powered Q&A
find_related — graph-based discovery
list_tags — browse by topic
get_summary — document summaries
Sync

Always current

Set sync schedules per source. Ragomotive re-fetches, re-indexes, and updates embeddings automatically. No stale data, no manual re-imports.

Organization

AI-powered tagging

Content is auto-tagged using embedding similarity. Tags are themselves embedded, so even novel content finds its place in your taxonomy.

Bring your own keys

Use your own OpenAI, Anthropic, Cohere, or Voyage API keys. Your data, your providers.

Team workspaces

Multi-tenant from the start. Each org gets isolated data, keys, and access control.

Knowledge graph

Beyond flat search. Neo4j relationships surface connections your team didn't know existed.

Works with your AI tools

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.

Setup

One config snippet, every tool

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_..."
      }
    }
  }
}

Claude Desktop

Desktop app

Add to claude_desktop_config.json in your Claude app data folder.

Claude Code

CLI & IDE extensions

Add to .claude/settings.json in your project or home directory.

Cursor

IDE

Add to .cursor/mcp.json in your project root, or go to Settings → MCP.

ChatGPT

Chat

Open Settings &rarr; MCP Servers &rarr; Add. Paste your Ragomotive endpoint URL and API key.

Gemini

Chat & AI Studio

Add as a remote MCP server in Google AI Studio or the Gemini app settings.

Codex

CLI agent

Add to codex-config.json or pass via --mcp-config flag.

Stop losing knowledge.
Start using it.

Set up in minutes. No credit card required.