Elastic Email MCP
By implementing MCP, Elastic Email allows AI agents to access and control your email operations while maintaining security and proper authentication. - Add contact to a list - Upload and add contacts - Create a list - Create a segment - Create a campaign - Get campaigns - Update a campaign - Pause a campaign - List campaigns - Send emails: both transactional and bulk - Fetch contact, contacts, contact from list - Fetch lists - Fetch templates - Fetch segments - Is ready (health check, connection and readiness check) - Delete contact from list - Delete contact from account
Ads
Overview
By implementing MCP, Elastic Email allows AI agents to access and control your email operations while maintaining security and proper authentication. - Add contact to a list - Upload and add contacts - Create a list - Create a segment - Create a campaign - Get campaigns - Update a campaign - Pause a campaign - List campaigns - Send emails: both transactional and bulk - Fetch contact, contacts, contact from list - Fetch lists - Fetch templates - Fetch segments - Is ready (health check, connection and readiness check) - Delete contact from list - Delete contact from account
Capabilities
- add_contact
Manage contacts — Ask your assistant to add, upload, or delete contacts from lists and segments via `add_contact` and related actions.
- Build campaigns
Create, list, update, or pause email campaigns directly through the MCP server, including fetching existing campaign details.
- Send emails
Trigger both transactional and bulk email sends programmatically, with support for templates and contact targeting.
- Fetch resources
Retrieve contacts, lists, templates, and segments on demand to review or use in your email operations.
- Check readiness
Run a health check to confirm the MCP connection and server status before executing other tasks.
Installation
https://mcp.elasticemail.com
Configuration
{
"mcpServers": {
"elastic-email-mcp": {
"url": "https://mcp.elasticemail.com"
}
}
}Paste into ~/.cursor/mcp.json or .cursor/mcp.json
Tags
- email-automation
- marketing
- communication
Related MCP servers
Cloud Platforms
Metabase
Metabase includes a built-in Model Context Protocol (MCP) server that lets AI clients connect directly to a Metabase instance. It uses the [Streamable HTTP transport](https://modelcontextprotocol.io/specification/2025-03-26/basic/transportsstreamable-http) and builds on Metabase's Agent API to expose tools for searching, navigating, querying, visualizing, and creating/updating content - all scoped to the connecting user's permissions. The legacy /api/mcp path still works as an alias for existing clients, but /api/metabase-mcp is the canonical URL to advertise.
6 tools · construct_query, create_dashboard
Cloud Platforms
AWS Bedrock KB Retrieval
MCP server for accessing Amazon Bedrock Knowledge Bases - Find and explore all available knowledge bases - Search for knowledge bases by name or tag - List data sources associated with each knowledge base - Retrieve information using conversational queries - Get relevant passages from your knowledge bases - Access citation information for all results - Focus your queries on specific data sources - Include or exclude specific data sources - Prioritize results from specific data sources - Improve relevance of retrieval results - Use Amazon Bedrock reranking capabilities - Sort results by relevance to your query
4 tools · Filter results by data source, list_knowledge_bases
Cloud Platforms
AWS CloudTrail
This AWS Labs Model Context Protocol (MCP) server for CloudTrail enables your AI agents to query AWS account activity for security investigations, compliance auditing, and operational troubleshooting. It provides comprehensive access to CloudTrail events and CloudTrail Lake analytics, allowing agents to track API calls, analyze user activity, and perform advanced security analysis. This server gives AI agents seamless access to CloudTrail data through standardized MCP interfaces, eliminating the need for custom API integrations and enabling powerful security insights and audit capabilities.
4 tools · get_query_status, lake_query
Cloud Platforms
AWS Cost Analysis
Analyze CDK projects to identify AWS services used and get pricing information from AWS pricing webpages and API.
Cloud Platforms
AWS CDK
Get prescriptive CDK advice, explain CDK Nag rules, check suppressions, generate Bedrock Agent schemas, and discover AWS Solutions Constructs patterns.
Cloud Platforms
AWS Core
Core AWS MCP server providing prompt understanding and server management capabilities.
Cloud Platforms
Stripe MCP
This repo is the one-stop shop for building AI-powered products and businesses on top of Stripe. It contains a collection of SDKs to help you integrate Stripe with LLMs and agent frameworks, including: @stripe/ai-sdk - for integrating Stripe's billing infrastructure with Vercel's ai and @ai-sdk libraries. @stripe/token-meter - for integrating Stripe's billing infrastructure with native SDKs from OpenAI, Anthropic, and Google Gemini, without any framework dependencies. Stripe hosts a remote MCP server at https://mcp.stripe.com. This allows secure MCP client access via OAuth. View the docs here.
6 tools · Add Stripe plugin to Codex, Build autonomous agents
Cloud Platforms
MiniMax MCP
> 💡 Recommended: MiniMax CLI (mmx-cli) — our official command-line tool with the latest models and additional features including text, vision, and search. Works as an AI agent skill for Claude Code, Cursor, OpenClaw, etc. - 中文文档 - MiniMax-MCP-JS - Official JavaScript implementation of MiniMax MCP 1. Get your API key from MiniMax. 2. Install uv (Python package manager), install with curl -LsSf https://astral.sh/uv/install.sh | sh or see the uv repo for additional install methods. 3. Important: The API host and key vary by region and must match; otherwise, you'll encounter an Invalid API key error.
6 tools · generate_video, list_voices