Api MCP Server
A lightweight and extensible API tool server that supports defining and executing API tools through the MCP protocol, providing dynamic HTTP requests, typed parameters, and multiple transmission methods (stdio, sse).
rating : 2.5 points
downloads : 2
What is the API MCP Server?
The API MCP Server is a lightweight and extensible tool that allows users to define and execute API operations through the Model Context Protocol (MCP). It supports dynamic HTTP requests, typed parameters, and multiple transmission methods (such as stdio and sse). It is suitable for developers to quickly build functions for interacting with external APIs.How to use the API MCP Server?
Define API tools by configuring a JSON file and then run the server. Users can start the server through the command line or pre - compiled binary files and select the transmission method (such as stdio or sse) for interaction.Applicable Scenarios
It is suitable for development scenarios that require integration with external APIs, such as automation tasks, data synchronization, API testing, etc. It is particularly suitable for use in combination with LLMs to achieve more intelligent API calls.Main Features
Multi - transport SupportSupports two transmission methods, stdio and sse, to meet the needs of different application scenarios.
Dynamic HTTP RequestsCan dynamically construct HTTP requests based on parameters to flexibly adapt to different API interfaces.
Typed ParametersEach API tool can define the types of input parameters to ensure the accuracy of data during calls.
Environment Variable ReplacementSupports environment variable replacement in the configuration, making it easy to switch API addresses or keys in different environments.
Authentication SupportSupports Bearer Token authentication in the SSE transmission mode to ensure the security of API calls.
Advantages and Limitations
Advantages
Lightweight design, easy to deploy and maintain.
Supports multiple transmission methods to adapt to the needs of different systems.
Provides rich configuration options for customizing API behavior.
Suitable for integration with LLMs to enhance the capabilities of AI applications.
Has good scalability and supports future function expansion.
Limitations
Users who are not familiar with JSON configuration may need a certain learning cost.
Only supports specific types of API interactions and is not suitable for all scenarios.
Currently mainly targeted at developers, and non - technical users may find it difficult to use directly.
Depends on the MCP protocol, and other systems need to ensure compatibility with this protocol.
Some advanced functions may require additional configuration or development work.
How to Use
Install the Server
Install the API MCP Server to the local system through Go installation or by downloading pre - compiled binary files.
Prepare Tool Configuration
Create a JSON file to describe the API tools to be used, their parameters, request information, etc.
Start the Server
Run the server using the command line and specify the transmission method and the path of the configuration file.
Call API Tools
Call the defined API tools through an LLM or other clients and pass the required parameters.
Usage Examples
Trigger a GitLab PipelineCall the GitLab API through the API MCP Server to trigger the pipeline of a specific project.
Create a JSONPlaceholder TodoUse the API MCP Server to send a POST request to the JSONPlaceholder API to create a new todo item.
Frequently Asked Questions
Which transmission methods does the API MCP Server support?
How to protect the SSE endpoint from unauthorized access?
Can environment variables be used in the configuration?
What should I do if I encounter an error?
Related Resources
GitHub Repository
The source code and the latest version of the API MCP Server.
Documentation
Complete usage instructions and configuration examples.
Example Tool Configuration
Contains example configurations such as GitLab Issues and JSONPlaceholder Todos.
MCP Protocol Specification
The official specification document of the Model Context Protocol (MCP).
Featured MCP Services

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.8K
5 points

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
154
4.3 points

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
201
4.5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
892
4.3 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.7K
4.5 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
616
5 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
797
4.8 points

Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
335
4.5 points