MCP server directory

Cross-channel marketing MCP - Google, Meta, TikTok, Microsoft, Pinterest, Amazon, LinkedIn and Reddit, all from the chat you already use. Battle-tested by senior performance teams. Real teams managing real ad spend across every channel — from one conversation. > “First prompt it built me an interactive dashboard with multi-channel reporting, hours saved. Feeling more in control than ever.” > “Onboarding a new client used to take a week of audit-prep. Now it’s an afternoon — Blend audits the full ad footprint in one chat.”

Access and organize your open browser tabs, bookmarks, and recently opened links across every macOS browser from your AI client. Powered by the free SupaSidebar app.

A Model Context Protocol (MCP) server that provides a set of tools for retrieving information about SonarQube projects like metrics (actual and historical), issues, health status.

Financial narrative intelligence for AI agents. Tracks how financial stories evolve across 109 tickers — clustering news into structured narratives, measuring sentiment momentum, and mapping narrative risk across portfolios. Install via Smithery or `uvx narrative-intelligence-mcp`.

> Learn how to integrate Galileo's Model Context Protocol (MCP) server with AI-enabled IDEs like Cursor and VS Code The Galileo Model Context Protocol (MCP) server enables seamless integration between AI-powered IDEs, such as Cursor, or VS Code with GitHub Copilot, and Galileo's evaluation and observability platform. With MCP, you can access Galileo's capabilities directly from your development environment, including: Creating and managing datasets Running experiments Setting up prompt templates Getting signals on Log streams Integrating Galileo with your code

An MCP (Model Context Protocol) server that enables AI platforms to interact with YepCode's infrastructure. Run LLM-generated scripts and turn your YepCode processes into powerful tools that AI assistants can use directly. YepCode is the perfect environment to build a dynamic MCP tools server: expose each process as a tool (with OAuth, API tokens, or your credentials), define each tool's parameters with JSON Schema for full flexibility, and implement tools in Python or Node.js—all in one server that mixes multiple languages.

The Terraform MCP Server is a Model Context Protocol (MCP) server that integrates seamlessly with Terraform Registry and HCP Terraform APIs, enabling advanced automation and interaction capabilities for Infrastructure as Code (IaC) development. - Dual Transport Support: Both Stdio and StreamableHTTP transports with configurable endpoints - Terraform Registry Integration: Direct integration with public Terraform Registry APIs for providers, modules, and policies - HCP Terraform & Terraform Enterprise Support: Full workspace management, organization/project listing, and private registry access - Workspace Operations: Create, update, delete workspaces with support for variables, tags, and run management - OTel metrics for monitoring tool usage: Integration with open telemetry meters to track tool-call volume, latency and failures in Streamable HTTP mode. Also exposes default http server metrics when this feature is enabled

MCP server for AI Diagram Maker — generate beautiful software engineering diagrams directly inside Cursor, Claude Desktop, Claude Code, or any MCP-compatible AI agent. - ai-diagram-maker-mcp 🌐 ☁️ - Generate professional software diagrams from plain English descriptions. - 5 tools covering every input type: natural language text, code, ASCII diagram, images, and Mermaid - Inline rendering — diagrams appear directly in the chat using MCP Apps UI, no downloads - Diagram URL in responses — open it in your browser to view and edit the diagram - 5 diagram types: flowchart, sequence, ERD, system architecture, UML - Supports both stdio (local) and HTTP/Streamable HTTP (remote) transports

A modern, cloud-based version of the Make MCP Server is now available. For most use cases, we recommend using this new version. A Model Context Protocol server that enables Make scenarios to be utilized as tools by AI assistants. This integration allows AI systems to trigger and interact with your Make automation workflows. - Connects to your Make account and identifies all scenarios configured with "On-Demand" scheduling - Parses and resolves input parameters for each scenario, providing AI assistants with meaningful parameter descriptions - Allows AI assistants to invoke scenarios with appropriate parameters - Returns scenario output as structured JSON, enabling AI assistants to properly interpret the results