Chattermill Connector for AI agents.
11 live capabilities
Query customer sentiment and NPS scores directly from your agent.
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Why people use Chattermill
Chattermill for Identifying Feedback Trends
This Connector changes that by bringing the data to you. You can just ask your agent to summarize the latest feedback from Zendesk or find the top three themes from your Typeform surveys. It puts the intelligence in your chat window so you can actually spend time fixing problems instead of hunting for them.
What Vinkius changes
You get a direct line to your customer sentiment data without switching tabs.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
The 'Why is NPS dropping?' check
A CX Manager asks the agent to compare NPS across two projects.
- Real-world use case 02
The 'What's the top complaint?' search
A Product Manager asks for the top 3 themes.
- Real-world use case 03
The 'Recent feedback summary'
An analyst asks for the last 20 responses from the App Store.
Complete set · 11capabilities
The complete Chattermill capability set.
These are the exact actions your AI can choose when you ask it to work with Chattermill.
01—04
4 capabilities in this set.
Part of 11 available through Chattermill.
- 01 Capability
Submit feedback response
Submit a new feedback response to a Chattermill project. You can include a comment, score, and source information.
- 02 Capability
Get chattermill metric
Retrieve a calculated metric like NPS, CSAT, sentiment, or volume for a project. Use this to get high-level performance data.
- 03 Capability
Get chattermill project
Get details of a specific Chattermill project by its ID. This is useful for looking up project-specific configurations.
- 04 Capability
List theme categories
List categories that group feedback themes together. This is helpful for high-level trend analysis across your data.
05—08
4 capabilities in this set.
Part of 11 available through Chattermill.
- 05 Capability
List feedback sources
List all feedback data sources for a project. Use this to see which platforms like Zendesk or Typeform are feeding your pipeline.
- 06 Capability
List data types
List all feedback data types for a project. Use this to discover types like NPS or survey responses.
- 07 Capability
List chattermill projects
List all available feedback projects in your Chattermill account. Use this first to find the project key you need.
- 08 Capability
List feedback responses
List paginated feedback responses for a specific project. You can filter these by date to see recent customer comments.
09—11
3 capabilities in this set.
Part of 11 available through Chattermill.
- 09 Capability
List custom segments
List custom segments defined for a project. Use this to access user-defined cohorts for advanced analysis.
- 10 Capability
List feedback themes
List AI-generated feedback themes detected in a project. This helps you identify recurring customer topics automatically.
- 11 Capability
Get response details
Get detailed information for a single feedback response. This returns the comment, score, metadata, and applied themes.
Set up in minutes
One URL. Then ask Chattermill to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Chattermill 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_7ElC5zitqUaAiTIJzTNguvk7mDPLGsadzWCfQEJc/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 Chattermill, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Chattermill for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_7ElC5zitqUaAiTIJzTNguvk7mDPLGsadzWCfQEJc/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 Chattermill URL.
- Step 03
Save and start
Save the connection and enable Chattermill in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"chattermill": {
"url": "https://edge.vinkius.com/vk_preview_7ElC5zitqUaAiTIJzTNguvk7mDPLGsadzWCfQEJc/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 Chattermill
Open Agent mode in chat and ask: "Using Chattermill, help me...". 11 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"chattermill": {
"url": "https://edge.vinkius.com/vk_preview_7ElC5zitqUaAiTIJzTNguvk7mDPLGsadzWCfQEJc/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 Chattermill
Ask Copilot: "Using Chattermill, help me...". 11 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"chattermill": {
"url": "https://edge.vinkius.com/vk_preview_7ElC5zitqUaAiTIJzTNguvk7mDPLGsadzWCfQEJc/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 Chattermill
Open Cascade and ask: "Using Chattermill, help me...". 11 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"chattermill": {
"url": "https://edge.vinkius.com/vk_preview_7ElC5zitqUaAiTIJzTNguvk7mDPLGsadzWCfQEJc/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 Chattermill
Ask Cline: "Using Chattermill, help me...". 11 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add chattermill --transport http "https://edge.vinkius.com/vk_preview_7ElC5zitqUaAiTIJzTNguvk7mDPLGsadzWCfQEJc/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 Chattermill
Ask Claude: "Using Chattermill, show me...". 11 tools are ready
Where the request belongs
Work Chattermill can move forward.
This is for CX and Product folks who are drowning in feedback but can't find the signal in the noise. It's for anyone who needs to know why customers are unhappy without manually sorting through thousands of tickets.
CX Manager
Monitoring sentiment trends and drilling into specific comments during weekly reviews.
Product Manager
Identifying recurring bugs or feature requests to prioritize the roadmap.
Insights Analyst
Pulling NPS and CSAT metrics for reports without opening a separate dashboard.
Ops Lead
Verifying that data sources like Zendesk or Typeform are feeding correctly.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsDelighted
Equip your AI agent to monitor customer feedback, track NPS metrics, and manage survey responses via the Delighted API.
Nicereply
Measure customer satisfaction via Nicereply. track survey responses, ratings, and stats directly from your AI agent.
AskNicely
Manage customer experience and NPS surveys with AskNicely. track responses and audit sentiment via AI.
CustomerGauge
Equip your AI agent to manage B2B experience, monitor NPS scores, and track revenue impact directly via the CustomerGauge API.
Wootric
Manage Wootric customer feedback. track end users, survey responses, and declines directly from your AI agent.
GetFeedback
Manage online surveys, track real-time responses, and oversee feedback data via AI agents with GetFeedback.
Bring your own AI
Change the model, client or framework. Keep Chattermill connected.
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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 Chattermill.
The practical details behind the request, access and result.
Can I use Chattermill MCP to see my NPS scores?
Yes, you can pull your NPS, CSAT, and net sentiment metrics directly into your chat. It's great for getting quick numbers during meetings without having to log in to the dashboard.
Does Chattermill MCP support multiple sources like Zendesk and Typeform?
Yes, it pulls from all the sources you've already connected to Chattermill. Your agent can see data from your app stores, surveys, and support tickets in one view.
How do I get my API key for Chattermill?
You can find your API key in your Chattermill dashboard under Settings. Once you have it, just paste it into your AI client's connection settings.
Can my agent actually write new feedback to Chattermill?
Yes, the Connector allows your agent to submit new feedback responses. You can have it save notes or manual entries directly into a specific project.
Can I see specific themes from my customer feedback?
Yes, it can list all the AI-generated themes Chattermill has identified. This helps you see recurring topics like 'billing issues' or 'slow performance' instantly.
Is Chattermill MCP good for tracking sentiment trends?
It's perfect for that. You can ask your agent to filter feedback by date or source to see how sentiment has shifted over time.
Can I use this to see custom segments?
Yes, it can access your custom segments. This is useful if you want to see how specific cohorts, like 'power users,' are feeling about your product.
How do I find the project key I need to use with most capabilities?
Start by asking the agent to run list_chattermill_projects. This returns all your projects with their keys. Most Chattermill API endpoints. responses, themes, metrics, etc.. require this project key as the first parameter.
What customer experience metrics can I retrieve?
Use get_chattermill_metric with a metric type of nps, average_score, net_sentiment, or volume. You can filter by date range, category, or theme for more targeted insights. All metrics require a project key.
Where do I find my Chattermill API Key?
Log in to your Chattermill account and navigate to Settings > API. You can generate and copy your personal API Key from that section. The key is used as a Bearer token on every API request.
One connection away
Give your agent a direct line to Chattermill.
Connect Chattermill once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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