"Managing Kubernetes Clusters on AWS Elastic Beanstalk" matching MCP servers:

MCP server for managing Yandex Audiences (segments, pixels, lookalikes) from AI clients via natural language.

Enables client success teams to get instant, natural-language health reads on client accounts with tools for overall health, low-performing courses, and launcher-only clients.

An MCP server implementation that integrates Claude with Salesforce, enabling natural language interactions with Salesforce data and metadata for querying, modifying, and managing objects and records.

Enables AI assistants to interact with Salesforce through a secure interface for performing CRUD operations, executing SOQL queries, and managing schema discovery. It features a smart learning system that analyzes custom objects and fields to provide intelligent assistance tailored to specific Salesforce configurations.

MCP server for the Gripp API, enabling CRUD operations on Gripp entities with built-in confirmation safety for mutations.

An MCP server that provides an interface to the Copper CRM API for managing contacts, companies, activities, and opportunities. It enables users to search for people, log meetings or notes, and track sales deals directly through MCP-compatible clients.

MCP server for managing on-chain loyalty programs on Base L2. Mint tokens, manage rewards, track balances, tiers and marketplace offers via standard MCP protocol.

Enterprise-grade administration of the WhatSMS platform via MCP, providing 25 specialized tools for managing users, roles, packages, subscriptions, transactions, vouchers, API keys, and system operations.

Enables creating and managing user profiles with interactive elicitation capabilities that prompt users for missing required information. Demonstrates MCP's elicitation feature by validating profile data and requesting additional details when fields are incomplete.

An MCP server that integrates the Dex personal CRM API with AI assistants to manage contacts, groups, tags, and reminders through 27 specialized tools. It enables users to perform unified searches and execute full CRUD operations on their CRM data via natural language.

MCP server for Pipedrive CRM providing 88 tools for full CRUD on deals, persons, organizations, activities, and more, with custom field resolution and safety guards.

MCP server for VTENext CRM (open-source vtiger-based). Query, create and update opportunities and contacts via natural language using the VTENext WebService API. Supports list, search, get, create, update on Potentials and Contacts modules, plus raw VTQL queries.

MCP server for Salesforce Interaction Studio that enables listing and managing datasets, campaigns, segments, and performance stats via natural language.

An MCP server for IT Glue that provides 56 tools for managing organizations, configurations, passwords, documents, flexible assets, contacts, locations, users, groups, attachments, related items, and bulk operations, with built-in rate limiting, caching, and security guards.

Provides comprehensive access to Pipedrive CRM with 100+ tools for managing deals, contacts, organizations, activities, and sales workflows through natural language conversations with Claude.

Provides integration between Hunter API and LLM providers supporting the MCP protocol, allowing natural language interaction with Hunter B2B data for finding and managing company and people information.

Enables Claude to interact with HubSpot CRM for sales analysis and insights, providing tools for managing contacts, deals, companies, and retrieving sales analytics data.

Enables interaction with the Pulse usage-based billing platform to track metering events, manage customers, and generate invoices. It also supports managing products, payment links, and AI agent usage directly through MCP-compatible assistants.

Connects AI coding assistants to AIVA's customer intelligence and Shopify store data for managing subscriptions, affiliate tracking, and customer analytics. It enables direct access to RFM segments, churn predictions, and product information through the Model Context Protocol.

Enables interacting with Planhat customer data via natural language, supporting CRUD operations on companies, contacts, opportunities, notes, conversations, users, assets, issues, tickets, tasks, licenses, and invoices.