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Vitally MCP Server

An MCP (Model Context Protocol) server that provides access to Vitally customer data via the Vitally API.

Containerized

If you need a containerized version, check out github.com/fiscaltec/vitally-mcp

Related MCP server: clevertap-mcp

Features

  • List customer accounts as resources

  • Read account details

  • Search for users by email or external ID

  • Find accounts by name

  • Query account health scores

  • View account conversations and tasks

  • Create notes for accounts

  • Search through available tools

  • Demo mode with mock data when no API key is provided

Setup

  1. Install dependencies:

    npm install
  2. Create a .env file in the root directory with the following:

    # Vitally API Configuration
    VITALLY_API_SUBDOMAIN=nylas  # Your Vitally subdomain
    VITALLY_API_KEY=your_api_key_here  # Your Vitally API key
    VITALLY_DATA_CENTER=US  # or EU depending on your data center
  3. Build the project:

    npm run build

Note: If you don't have a Vitally API key yet, the server will run in demo mode with mock data.

Getting your Vitally API Key

  1. Navigate to your Vitally account

  2. Go to Settings (⚙️) > Integrations > REST API

  3. Toggle the switch to enable the integration

  4. Copy the API Key

Usage

There are two ways to use this MCP server:

Using the MCP Inspector

Run the MCP Inspector to test and debug the server:

npm run inspector

This will open the MCP Inspector interface where you can interact with your server.

Connect to Claude Desktop

  1. First, find your Claude Desktop configuration file:

    • On macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

    • On Windows: %APPDATA%\Claude\claude_desktop_config.json

  2. Edit the config file to add the Vitally MCP server:

    {
      "mcpServers": {
        "vitally-api": {
          "command": "node",
          "args": ["--experimental-modules", "--experimental-specifier-resolution=node", "/Users/johnjung/nylas/vitally/vitally/build/index.js"]
        }
      }
    }
  3. Restart Claude Desktop and you'll be able to use the Vitally MCP server.

Available Tools

Tool Discovery

  • search_tools - Search for available tools by keyword

Account Management

  • search_accounts - Search for accounts using multiple criteria (name, externalId)

  • find_account_by_name - Find accounts by their name (partial matching supported)

  • refresh_accounts - Refresh the cached list of accounts

  • get_account_health - Get health scores for a specific account

User Management

  • search_users - Search for users by email, external ID, or email subdomain

Communication & Tasks

  • get_account_conversations - Get recent conversations for an account

  • get_account_tasks - Get tasks for an account (can filter by status)

  • create_account_note - Create a new note for an account

Example Questions to Ask

When connected to an MCP client like Claude, you can ask questions such as:

  • "List all our customers"

  • "Find accounts with 'Acme' in their name"

  • "What's the health score for account X?"

  • "Find user with email example@company.com"

  • "Show me details about customer Y"

  • "Get recent conversations for account Z"

  • "What tasks are open for account A?"

  • "Add a note to account B about our recent call"

  • "What tools can I use for account management?"

Troubleshooting

  • If you encounter JSON parsing errors, ensure you've removed all console.log statements from the code

  • Make sure your .env file contains the correct API credentials

  • Check that you've built the project (npm run build) after making changes

  • Verify the path in claude_desktop_config.json is absolute and correct for your system

  • If you don't have a valid API key, the server will run in demo mode with mock data

Related MCP Connectors

  • The HubSpot MCP Server acts as a bridge that enables AI assistants and Large Language Models to securely interact with HubSpot CRM data through natural conversation, without requiring users to understand complex API structures. It provides read-only access to standard CRM objects (contacts, companies, deals, tickets, products, invoices, and more) and their associations, secured via OAuth 2.0, allowing AI agents to perform tasks like summarizing deals, fetching company updates, and looking up record changes.

  • The Fireflies MCP Server enables AI tools to connect directly to meeting data from Fireflies.ai, providing access to meeting transcripts, summaries, action items, and insights without switching platforms. It includes capabilities for querying cross-meeting data for analysis (such as sales insights or product feedback), and a separate Documentation MCP Server that allows searching the Fireflies knowledge base for API references, guides, and code examples.

  • MCP server unifying ERPs, CRMs, APIs and knowledge base for Claude, ChatGPT and Gemini.

  • The Ramp MCP server enables users to securely connect Ramp with AI assistants like ChatGPT and Claude to query financial data and take actions using natural language. It transforms Ramp's developer API into a SQL interface that LLMs can query, allowing admins to analyze spend trends, identify cost savings, and run complex SQL analyses on comprehensive datasets (transactions, purchase orders, vendors, users), while all users can manage cards, view transactions, request reimbursements, and get expense policy answers.

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