LangChainFramework

Why use Chattermill MCP Server with LangChain?

Bring Sentiment Analysis
to LangChain

Name: Chattermill MCP Server
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

Create your Vinkius account to connect Chattermill to LangChain and start using all 11 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.

GDPR Free for Subscribers

Get Chattermill MetricGet Chattermill ProjectGet Response DetailsList Chattermill ProjectsList Custom SegmentsList Data TypesList Feedback ResponsesList Feedback SourcesList Feedback ThemesList Theme CategoriesSubmit Feedback Response

Ask AI about this MCP Server ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

What is the Chattermill MCP Server?

Connect your Chattermill account to any AI agent and take full control of your customer experience (CX) intelligence through natural conversation. Unify feedback from Zendesk, App Store, Typeform, and dozens of other sources into one AI-powered view.

What you can do

Project Management — List and inspect all feedback projects configured in your account
Feedback Intelligence — Browse, filter, and paginate customer responses with full date and source filtering
Theme Analysis — Explore AI-generated themes and categories to pinpoint recurring customer issues
Metric Insights — Retrieve calculated NPS, CSAT, net sentiment, and volume metrics on demand
Source Auditing — List all data sources and data types feeding your feedback pipeline
Segmentation — Access custom segments for advanced cohort analysis
Data Ingestion — Submit new feedback entries for analysis directly from your agent

How it works

Subscribe to this server
Enter your Chattermill API Key (found at Settings > API in your Chattermill dashboard)
Start querying your customer insights from Claude, Cursor, or any MCP-compatible client

Who is this for?

CX Managers — monitor sentiment trends and drill into specific customer comments using natural language
Product Managers — identify recurring themes to prioritize features without opening the dashboard
Insights Teams — quickly retrieve NPS and CSAT metrics for reporting straight from the chat interface
Operations Teams — verify data source connectivity and audit feedback ingestion pipelines

Built-in capabilities (11)

get_chattermill_metric

Valid metric_type values: nps, average_score, net_sentiment, volume. Supports optional date range filtering with UNIX timestamps. Retrieve a calculated metric (NPS, CSAT, sentiment, volume) for a project

get_chattermill_project

Use list_chattermill_projects first if the project ID is unknown. Get details of a specific Chattermill project by its ID

get_response_details

Returns the comment, score, metadata, and applied themes. Get detailed information for a single feedback response

list_chattermill_projects

Use this first to obtain the project key needed by all other Chattermill tools. The project key is typically a lowercase version of the company name. List all available feedback projects in the Chattermill account

list_custom_segments

Returns user-defined segments used for advanced filtering and cohort analysis. List custom segments defined for a project

list_data_types

Returns data classification types used to categorize responses. Use this to discover type keys for filtering. List all feedback data types for a project (e.g. NPS, review, survey)

list_feedback_responses

Supports pagination via page/per_page and date filtering via date_from/date_to in YYYYMMDD_HHMMSS format. Default: page 1, 20 results per page, max 100. List paginated feedback responses for a specific project

list_feedback_sources

Returns configured data ingestion sources. Use this to discover available source keys for filtering responses. List all feedback data sources for a project (e.g. Zendesk, App Store, Typeform)

list_feedback_themes

Returns themes automatically generated by Chattermill ML to classify recurring customer topics. List AI-generated feedback themes detected in a project

list_theme_categories

Categories are parent groupings for themes, useful for high-level trend analysis. List categories that group feedback themes together

submit_feedback_response

Requires the project_key plus comment text. Optionally supply score, data_source, and data_type keys from their respective list endpoints. Submit a new feedback response to a Chattermill project

See what your AI agent can do with Chattermill

Why LangChain?

LangChain's ecosystem of 500+ components combines seamlessly with Chattermill through native MCP adapters. Connect 11 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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The largest ecosystem of integrations, chains, and agents. combine Chattermill MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Chattermill queries for multi-turn workflows

See it in action

Chattermill in LangChain

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Enterprise Security

Why run Chattermill with Vinkius?

The Chattermill connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 11 tools are ready to work instantly without any complex setup.

You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

View full Chattermill details →

Fully ManagedNo server setup

Plug & PlayNo coding needed

SecurePrivacy protected

PrivateYour data is safe

Cost ControlBudget limits

Control1-click disconnect

Auto-UpdatesMaintenance free

High SpeedOptimized for AI

Reliable99.9% uptime

Your credentials and connection tokens are fully encrypted

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure

01 / Catalog

Over 4,000 integrations ready for AI agents

Explore a vast library of pre-built integrations, optimized and ready to deploy.

02 / Credentials

Connect securely in under 30 seconds

Generate tokens to authenticate and link external services in a single step.

03 / Guardian

Complete visibility into every agent action

Audit live requests, latency, success rates, and active security compliance policies.

04 / FinOps

Optimize spending and track token ROI

Analyze real-time token consumption and cost metrics detailed by connection.

Over 4,000 integrations ready for AI agents

Complete visibility into every agent action

Explore our live AI Agents Analytics dashboard to see it all working

This dashboard is included when you connect Chattermill using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.

Explore Analytics

Why Vinkius

Chattermill and 4,000+ other AI tools. No hosting, no code, ready to use.

Professionals who connect Chattermill to LangChain through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.

4,000+MCP Integrations

<40msResponse time

100%Fully managed

	Raw MCP	Vinkius
Ready-to-use MCPs	Find and configure each manually	4,000+ MCPs ready to use
Connection Setup	Manual coding & server setup	1-click instant connection
Server Hosting	You host it yourself (needs 24/7 uptime)	100% hosted & managed by Vinkius
Security & Privacy	Stored in plaintext config files	Bank-grade encrypted vault
Activity Visibility	Blind execution (no logs or tracking)	Live dashboard with real-time logs
Cost Control	Runaway AI token spend risk	Automatic budget limits
Revoking Access	Must delete files or code to stop	1-click disconnect button

View step-by-step setup guide for LangChain →

The Vinkius Advantage

How Vinkius secures
Chattermill for LangChain

Every request between LangChain and Chattermill is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

Frequently asked questions

How do I find the project key I need to use with most tools?

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.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.