MCP Api Client
A lightweight MCP server designed specifically for LLMs, used for quickly testing and exploring REST APIs. It allows direct interaction with API endpoints through natural language without writing test code.
rating : 2.5 points
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What is mcp-api-client?
mcp-api-client is an API testing server specifically designed for large language models (LLMs). It allows your AI assistants (such as Claude, Cursor, etc.) to directly send HTTP requests to any REST API endpoint and view the response results, just like using Postman, but entirely through natural language interaction.How to use mcp-api-client?
First, install the server, and then configure it in your MCP client (such as Claude Desktop). After the configuration is complete, your AI assistant can use simple natural language instructions to test APIs, for example, 'Test the health check endpoint of localhost:8000'.Use cases
Suitable for developers to quickly verify endpoint functions when building APIs, test local development servers, explore third - party APIs, or quickly check API responses during debugging. Especially suitable for scenarios where APIs need to be tested frequently but you don't want to write test code repeatedly.Main features
LLM native API testing
AI assistants can directly understand your natural language instructions and execute corresponding API tests without writing any code.
Batch request support
Multiple API requests can be sent at once, reducing the number of interactions with the AI assistant and improving testing efficiency.
Resource - efficient
By default, only the status code and response body are returned, minimizing token consumption and allowing AI assistants to process more data.
Friendly to local development
Particularly suitable for testing local development servers (localhost), supporting various HTTP methods and custom headers.
Advantages
No need to write test code, you can test APIs using natural language.
Seamlessly integrated with the AI development workflow, improving development efficiency.
Lightweight design, fast response, and low resource consumption.
Supports batch operations, suitable for testing multiple related endpoints.
Limitations
Requires configuration of the MCP client, with a certain learning curve.
Relies on the understanding ability of the AI assistant, and more explicit instructions may be required in complex scenarios.
Currently mainly targets REST APIs, with limited support for protocols such as GraphQL.
Requires a Python 3.10+ environment.
How to use
Install the server
Clone the project and install the necessary dependency packages.
Get the installation path
Find the path of the server's executable file.
Configure the MCP client
Add the server to your MCP client configuration (such as Claude Desktop).
Start using
Restart your AI assistant, and now you can directly test APIs using natural language.
Usage examples
Quick health check
Quickly verify whether the API service is running normally during development.
User registration process test
Test the complete user registration and login process.
API parameter debugging
Debug API request parameter issues.
Frequently Asked Questions
Do I need programming knowledge to use this tool?
Does this tool support HTTPS and authentication?
Can I test local development servers?
What if the response data is too large?
Which MCP clients are supported?
Related resources
GitHub repository
Project source code and latest updates.
FastMCP framework
The MCP server framework on which this project is based.
httpx library
The HTTP client library used.
MCP protocol documentation
Official specification of the Model Context Protocol.
Claude Desktop configuration guide
How to configure Claude Desktop to use the MCP server.

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