Apideck MCP Server

Connect AI agents to 200+ SaaS integrations across CRM, Accounting, HRIS, ATS, File Storage, and more through Apideck's Unified APIs.

Overview

Connect AI agents to 200+ SaaS integrations across CRM, Accounting, HRIS, ATS, File Storage, and more through Apideck's Unified APIs.

Server Type

official MCP Server

Integration Details

Apideck is a production-ready MCP server that enables AI models to interact with external tools and data sources through the Model Context Protocol (MCP).

MCP is an open standard developed by Anthropic that provides a standardized way for AI models to access various capabilities and services.

This server can be seamlessly integrated with modern AI-powered development environments like Windsurf, Cursor, Cline, and other MCP-compatible clients, enhancing your coding workflow with powerful AI capabilities.

Use Cases

This MCP server can be used to:

  • Enable AI models to interact with Apideck's services
  • Provide AI agents with access to specialized tools and data
  • Enhance AI capabilities through external service integration
  • Build more powerful AI applications with extended functionality
  • Supercharge IDEs like Windsurf, Cursor, and Cline with advanced AI capabilities
  • Connect Claude and other AI assistants to specialized tools and services

How to use Apideck MCP with Claude Code

To add the Apideck MCP server to Claude Code (Anthropic's CLI tool), run:

claude mcp add --transport http apideck https://mcp.apideck.dev/mcp

See the Apideck MCP documentation for required credentials or environment variables.

Other useful Claude Code MCP commands:

  • claude mcp list- List all configured MCP servers
  • claude mcp get apideck- Show the configuration for Apideck
  • claude mcp remove apideck- Remove the Apideck MCP server

Once configured, Claude Code will automatically use Apideck's capabilities during your coding sessions.

About Model Context Protocol (MCP)

Model Context Protocol (MCP) is an open standard developed by Anthropic that enables AI models to interact with external tools and data sources. MCP servers provide a standardized way for AI models to access various capabilities and services.

By using MCP, developers can extend the capabilities of AI models like Claude, allowing them to perform actions such as searching the web, accessing databases, or interacting with APIs.

Modern development environments and MCP Clients like Windsurf, Cursor, Microsoft Copilot, and Cline leverage MCP to provide AI-powered coding assistance, enabling features like intelligent code completion, automated debugging, and contextual documentation access.

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