Mcp Api Client

Created By

molavec7 months ago

A Model Context Protocol (MCP) server that calls APIs using YAML config files.

Overview

MCP API Client Overview

The MCP API Client is a Model Context Protocol (MCP) server that enables seamless API integration using simple YAML configuration files.

Designed for rapid prototyping, automation, and low-code/no-code scenarios, it allows users to connect APIs to their AI models or automation workflows without advanced programming skills.

Key Features

YAML-based API configuration: Define multiple API endpoints and their parameters in a single YAML file.
Automatic MCP tool generation: Instantly create MCP tools and fetch APIs from your YAML config.
Supports all HTTP methods: GET, POST, PATCH, PUT, DELETE (partial support).
Environment variable interpolation: Securely manage secrets and tokens (coming soon).
Flexible request configuration: Set headers, query parameters, and request bodies.
No-code/low-code friendly: Ideal for non-developers and rapid prototyping.
Secure API access: Manage sensitive data via environment variables.

Use Cases

AI Model Integration: Connect LLMs or other AI models to external APIs for data retrieval, enrichment, or action execution.
Automation: Integrate with platforms like N8N, Make.com, or Zapier via webhooks.
Data Pipelines: Orchestrate API calls as part of ETL or data processing workflows.
API Gateway: Expose multiple backend APIs through a unified MCP interface.
Rapid Prototyping: Build and test API workflows quickly for demos or hackathons.

Getting Started

Initialize a default API YAML config:
```
npx -y mcp-api-client --init
```
Start the test server for local development:
```
npx -y mcp-api-client --test-server
```
Add the MCP API Client to your agent or tool configuration and START ASKING!

See the Content tab for YAML configuration details and examples.

Ask to Claude LLM in MCP client

Server Config

{
  "mcpServers": {
    "mcp-api-client": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-api-client",
        "path-to-your-config-api.yaml"
      ]
    }
  }
}

Recommend Servers

TraeBuild with Free GPT-4.1 & Claude 3.7. Fully MCP-Ready.

Jina AI MCP ToolsA Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.

Context7Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors

Zhipu Web SearchZhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.

TimeA Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.

DeepChatYour AI Partner on Desktop

Visual Studio Code - Open Source ("Code - OSS")Visual Studio Code

AiimagemultistyleA Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.

WindsurfThe new purpose-built IDE to harness magic

MiniMax MCPOfficial MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.

EdgeOne Pages MCPAn MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.