Sprig MCP

1. From the sidebar in claude.ai, select Customize, then Connectors.
2. Click the + icon, then Add Custom Connector.
3. Give it the name “Sprig” and paste in the Sprig MCP server URL: https://mcp.sprig.com/mcp
4. Click Connect and complete the OAuth authorization flow by logging in with your Sprig account.

1. From the sidebar in claude.ai, select Customize, then Connectors.
2. Find “Sprig” in the list and click Connect.
3. Complete the OAuth authorization flow by logging in with your Sprig account.
4. Try: “Summarize the results from my last NPS study in Sprig.”

1. From the sidebar in claude.ai, select Customize, then Connectors.
2. Click the + icon, then Add Custom Connector.
3. Give it the name “Sprig” and paste in the Sprig MCP server URL: https://mcp.sprig.com/mcp
4. Click Connect and complete the OAuth authorization flow by logging in with your Sprig account.
5. Try: “Summarize the results from my last NPS study in Sprig.”

1. In your terminal, run claude mcp add sprig -t http https://mcp.sprig.com/mcp and follow the prompts.
2. Run claude mcp list to verify the connection. Sprig should appear, but it likely will not be connected yet.
3. Start a session to confirm the integration is live. The first time you invoke a Sprig tool, a browser window may open to complete the authorization flow. Try: “What is the name of my most recently created study?”
4. Once connected, try asking: “What are the top themes from our most recent Sprig study?”

1. In the Claude Cowork desktop app, go to Settings → Connected tools. From the sidebar, select “Customize,” then “Connectors.”
2. Select Add custom connector. Give it a name (e.g., “Sprig”) and paste in the Sprig MCP server URL: https://mcp.sprig.com/mcp
3. Click Connect to authorize the connection in a new browser tab. Once you’ve granted permissions, return to Claude.

1. Go to Customize > Connectors and click the + button.
2. Search for “Sprig” (or whatever your Owner named the connector) and select it.
3. Click Connect to authorize your individual connection.
4. Ask Cowork to pull Sprig study results into a doc, spreadsheet, or slide as part of any automated task.

1. Go to chatgpt.com → Apps → Search for Sprig
2. Click Connect and follow the prompts to authorize ChatGPT to access your Sprig account
3. Sprig will now be available in the “+” menu under “More”

1. Locate ~/.gemini/settings.json and add the Sprig server to the mcpServers list:
   {
     "mcpServers": {
       "sprig": {
         "httpUrl": "https://mcp.sprig.com/mcp",
         "oauth": {
           "enabled": true
         }
       }
     }
   }
   
2. Restart the Gemini CLI and use the following command to authenticate with the Sprig MCP:
   /mcp auth sprig
   
3. In the window that opens, allow all read access and click Authorize Gemini CLI MCP Client
4. When successful, you will see an Authentication Successful screen
5. Back in the Gemini CLI, you can verify that the Sprig MCP is connected properly by running the following command:
   /mcp list
   

{
  "servers": {
    "sprig": {
      "type": "http",
      "url": "https://mcp.sprig.com/mcp"
    }
  }
}

{
  "servers": {
    "sprig": {
      "type": "http",
      "url": "https://mcp.sprig.com/mcp"
    }
  }
}

1. Open your mcp.json file (either .vscode/mcp.json or your user config via the Command Palette → “MCP: Open User Configuration”). Look for the Start button that appears inline at the top of the "servers" block and click it. If you don’t see it, try opening Copilot Chat in Agent mode first, or run “MCP: List Servers” from the Command Palette to start it from there.
2. Open Copilot Chat (Cmd/Ctrl+Alt+I).
3. Switch to Agent mode using the mode dropdown in the chat input.
   Sprig tools are only accessible in Agent mode, and they will not appear in Ask or Edit mode.
4. Click the tools icon in the top-left of the chat box to confirm Sprig appears in the tool list.
5. Invoke a Sprig tool or ask a Sprig-related question. A browser window will open to complete the OAuth authorization flow.
6. Log in with your Sprig account and grant access.
7. Try: “What were the general themes from my latest Sprig study?”
   Tip: Useful for bringing user research into your code editor. Ask Copilot to reference Sprig feedback while reviewing or writing features.

1. In Cursor, open a New Agent and run the following command to install mcp-remote:
   install mcp-remote
   
2. Navigate to Settings → Tools & MCPs and click Add Custom MCP
3. In the mcp.json file, add the following:
   {
     "mcpServers": {
       "sprig": {
         "command": "mcp-remote",
         "args": ["https://mcp.sprig.com/mcp"]
       }
     }
   }
   
4. Open the menu in the top right and click Save File
5. In the window that opens, login to Sprig and click Authorize Gemini CLI MPC Client
6. When successful, you will see an Authentication Successful screen
7. Open a New Agent and try: “List my Sprig studies”

​

Linear

1. Go to Linear → Settings → Integrations → MCP.
2. Paste in the Sprig MCP server URL: https://mcp.sprig.com/mcp
3. Click Connect and complete the OAuth authorization flow by logging in with your Sprig account.

1. Go to Linear → Settings → Integrations → MCP.
2. Find Sprig and click Connect
3. Complete the OAuth authorization flow by logging into Sprig
4. Ask Linear’s AI assistant to pull feedback from Sprig when creating or triaging issues.

1. Go to Notion → Settings → AI → Connected tools.
2. Click Connect a tool and enter your Sprig MCP server URL and API key.
3. Complete the OAuth authorization flow by logging into Sprig.
4. Member can now connect to individual accounts once the admin has enabled Sprig.
5. Use Notion AI to summarize Sprig study results directly into your research docs.

1. Summarize a study Summarize the key themes from my most recent Sprig study and highlight the top 3 issues users mentioned.
2. Extract NPS insights Pull all NPS studies from Sprig in the last 30 days. What are the most common reasons users gave for low scores?
3. Compare studies over time Compare the results from my Q1 and Q2 onboarding surveys in Sprig. What changed?
4. Segment analysis From my latest Sprig study, show me how responses differ between power users and new users.
5. Feature feedback digest Pull all Sprig responses that mention [feature name] and summarize what users are asking for.
6. Draft a research summary doc Using my latest Sprig study results, write a one-page research summary I can share with my team.
7. Turn feedback into hypotheses Based on the open-text responses in my latest Sprig study, generate 5 product hypotheses I could test next.
8. Prioritize from feedback From my Sprig study on checkout experience, rank the top pain points by frequency and suggest which to fix first.
9. Prep for a research readout Using my Sprig study results, create a bullet-point readout I can present in a 10-minute team meeting
10. Look up by Study ID or Study Title