Mode (Collaborative Data Platform) Connector for AI agents.
7 live capabilities
Manage and audit your Mode Analytics reports and data sources through natural conversation.
Waiting for input…
Why people use Mode (Collaborative Data Platform)
Mode for AI Agents: Ending the manual hunt for reports in Mode Analytics
This Connector changes that by letting the AI do the searching. Your agent can scan your entire Mode workspace for specific keywords and pull the exact report tokens instantly. You turn your analytics platform into a searchable library that anyone on the team can query.
What Vinkius changes
You get instant, conversational access to your Mode Analytics metadata and report structures.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Finding a specific report
An analyst needs a marketing report but doesn't know the name.
- Real-world use case 02
Auditing connectors
An engineer needs to know which databases are active.
- Real-world use case 03
Checking configurations
A user wants to know how a specific chart is built.
Complete set · 7capabilities
The complete Mode (Collaborative Data Platform) capability set.
These are the exact actions your AI can choose when you ask it to work with Mode (Collaborative Data Platform).
01—04
4 capabilities in this set.
Part of 7 available through Mode (Collaborative Data Platform).
- 01 Capability
List spaces
See all accessible Spaces that isolate datasets across your Mode workspace. This helps you understand how your data is organized.
- 02 Capability
Get space
Get the parameters mapping a specific collection Space. Use this to understand the scoped analytical boundaries of a shared area.
- 03 Capability
List data sources
See all database and warehouse connectors bound to your Mode account. It helps you quickly identify which schemas are available for querying.
- 04 Capability
Search reports
Find specific reports by searching against literal metadata and keywords. It saves you from manual navigation when looking for a specific dataset.
05—07
3 capabilities in this set.
Part of 7 available through Mode (Collaborative Data Platform).
- 05 Capability
List members
Get a list of all statically tracked analytical users in your workspace. Use this to verify report ownership and collaborative boundaries.
- 06 Capability
List reports
Pull a list of all static data reports generated in your workspace. This is the first step for auditing your entire report library.
- 07 Capability
Get report
Retrieve specific analytical parameters and chart definitions for a single report token. It gives you the exact configuration details you need.
Set up in minutes
One URL. Then ask Mode (Collaborative Data Platform) to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Mode (Collaborative Data Platform) from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_Ir1DkTkXUOZ1DX9dDLLFHnh4Dztuz00MXlUCaLT9/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Mode (Collaborative Data Platform), and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Mode (Collaborative Data Platform) for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_Ir1DkTkXUOZ1DX9dDLLFHnh4Dztuz00MXlUCaLT9/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Mode (Collaborative Data Platform) URL.
- Step 03
Save and start
Save the connection and enable Mode (Collaborative Data Platform) in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"mode-collaborative-data-platform": {
"url": "https://edge.vinkius.com/vk_preview_Ir1DkTkXUOZ1DX9dDLLFHnh4Dztuz00MXlUCaLT9/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Mode (Collaborative Data Platform)
Open Agent mode in chat and ask: "Using Mode (Collaborative Data Platform), help me...". 7 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"mode-collaborative-data-platform": {
"url": "https://edge.vinkius.com/vk_preview_Ir1DkTkXUOZ1DX9dDLLFHnh4Dztuz00MXlUCaLT9/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Mode (Collaborative Data Platform)
Ask Copilot: "Using Mode (Collaborative Data Platform), help me...". 7 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"mode-collaborative-data-platform": {
"url": "https://edge.vinkius.com/vk_preview_Ir1DkTkXUOZ1DX9dDLLFHnh4Dztuz00MXlUCaLT9/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Mode (Collaborative Data Platform)
Open Cascade and ask: "Using Mode (Collaborative Data Platform), help me...". 7 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"mode-collaborative-data-platform": {
"url": "https://edge.vinkius.com/vk_preview_Ir1DkTkXUOZ1DX9dDLLFHnh4Dztuz00MXlUCaLT9/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Mode (Collaborative Data Platform)
Ask Cline: "Using Mode (Collaborative Data Platform), help me...". 7 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add mode-collaborative-data-platform --transport http "https://edge.vinkius.com/vk_preview_Ir1DkTkXUOZ1DX9dDLLFHnh4Dztuz00MXlUCaLT9/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Mode (Collaborative Data Platform)
Ask Claude: "Using Mode (Collaborative Data Platform), show me...". 7 tools are ready
Where the request belongs
Work Mode can move forward.
This is for the data team tired of being the human router for everyone else's questions. It's for the analyst who wants to audit reports quickly and the business user who just needs to find a specific dashboard without asking for a link.
Data Analyst
Audits report configurations and SQL parameters on Tuesday afternoons to ensure accuracy across shared spaces.
Business User
Finds specific ROI reports or marketing summaries quickly when preparing for a meeting.
Analytics Engineer
Monitors data warehouse connectors and manages space hierarchies across multiple environments.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsMode Analytics
Manage collaborative data analysis via Mode Analytics. list spaces, query reports, and trigger report runs directly from any AI agent.
Redash
Connect to Redash to manage SQL queries, execute data visualizations, and monitor dashboards directly from your AI agent.
Omni BI Intelligence
Interact with Omni BI dashboards, models, and data exports. run queries and track metrics directly from your AI agent.
Apache Superset
Connect your AI to Apache Superset. Explore BI dashboards, extract chart data, and run live SQL Lab analytics directly from your terminal.
Metabase (Business Intelligence & Analytics)
Manage your BI environment via Metabase. list dashboards, retrieve visual questions (cards), and search data entities.
Looker (Business Intelligence & Data)
Manage your BI environment via Looker. list dashboards, execute inline queries, and audit saved Looks.
Bring your own AI
Change the model, client or framework. Keep Mode connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Mode.
The practical details behind the request, access and result.
Can the Mode MCP find reports for me?
Yes, it can search your entire workspace for specific reports using keywords or metadata descriptions. This lets you find exactly what you need without clicking through folders.
How does the Mode MCP help with data audits?
It lets you list all connected database and warehouse sources so you can see exactly what's bound to your account. This is great for keeping your data architecture organized.
Can I use the Mode MCP to see chart configurations?
Yes, it can retrieve specific analytical parameters and chart definitions for any report you have. This helps you understand how your data is being visualized.
Does the Mode MCP support private spaces?
It can list and navigate accessible spaces, including personal and shared organizational boundaries. You can explore how your data is isolated across the workspace.
Can the Mode MCP identify workspace members?
It can list the statically tracked analytical users joined within your Mode workspace. This helps you verify report ownership and collaborative boundaries.
Is the Mode MCP good for analytics engineers?
It's great for monitoring warehouse connectors and managing space hierarchies across multiple environments efficiently. It saves you from manual navigation and repetitive audit tasks.
Can I see the chart configurations for a specific Mode report through my agent?
Yes. Use the get_report capability with a specific Report Token. Your agent will retrieve the detailed analytical parameters, exposing the chart configurations and the underlying query logic used to generate the report data.
How do I check which databases are currently linked to my Mode workspace?
The list_data_sources capability retrieves all database and warehouse connectors bound to your account. Your agent will report the source names and mapped schemas, helping you identify which data is available for SQL reporting.
Can my agent help me find specific reports across different organizational spaces?
Absolutely. Use the search_reports capability with a search query. Your agent will filter through the metadata of all reports across your workspace, helping you locate critical data insights instantly without manual navigation.
One connection away
Give your agent a direct line to Mode.
Connect Mode once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available