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OpenAPI Client Generator MCP

by orhanveli
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JavaScript

openapi-client-generator MCP 服务器

模型上下文协议服务器使用 TypeScript 生成 API 客户端。

特征

资源

  • 生成一个基于 axios 的 API 客户端，可用于与 API 交互。

  • 它使用 OpenAPI / Swagger 规范来生成客户端。

提示

  • generate_client - 为指定的 OpenAPI 规范生成 API 客户端。

Related MCP server: Emcee

发展

安装依赖项：

npm install

构建服务器：

npm run build

对于使用自动重建的开发：

npm run watch

安装

要与 Claude Desktop 一起使用，请添加服务器配置：

在 MacOS 上： ~/Library/Application Support/Claude/claude_desktop_config.json
在 Windows 上： %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "openapi-client-generator": {
      "command": "node",
      "args": [
        "< PATH TO >/openapi-client-generator/build/index.js"
      ]
    }
  }
}

调试

由于 MCP 服务器通过 stdio 进行通信，调试起来可能比较困难。我们推荐使用MCP Inspector ，它以包脚本的形式提供：

npm run inspector

检查器将提供一个 URL 来访问浏览器中的调试工具。

贡献

欢迎通过提交问题或拉取请求为项目做出贡献。我们欢迎任何符合项目目标的改进或新功能。

执照

该项目根据 MIT 许可证获得许可 - 有关详细信息，请参阅LICENSE文件。

采用Cline构建

Available Tools

1 tool
generate_clientB

Generate TypeScript API client from OpenAPI specification

ParametersJSON Schema
NameRequiredDescriptionDefault
inputYesURL or file path to OpenAPI specification
outputYesOutput directory for generated client
httpClientYesHTTP client to use (fetch or axios)

TDQS

B3.4/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden for behavioral traits. It does not disclose side effects (e.g., file creation, overwriting), dependencies (valid spec), permissions, or error conditions. This is a significant gap for a generation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, precise sentence with no wasted words. It is appropriately sized for a straightforward generation tool with three well-defined parameters.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema and no annotations, the description is incomplete. It lacks details on what the generated client includes, whether existing files are overwritten, and any runtime behaviors. More context is needed for an AI agent to use it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with parameter descriptions, satisfying the baseline. The tool description does not add any additional parameter semantics beyond what the schema already provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Generate'), the output ('TypeScript API client'), and the source ('from OpenAPI specification'). It is specific and distinguishes the tool from any potential siblings (none defined).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when or when not to use the tool. While there are no sibling tools, the description lacks context such as prerequisites (valid OpenAPI spec) or best practices for selecting the HTTP client.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 1 tool updatev1.0.0
    • First observedgenerate_client
Deploy Server
Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

TDQS

A3.5/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of confusion. The tool has a clear and singular purpose.

Naming Consistency5/5

The single tool uses a clear verb_noun pattern ('generate_client'), which is consistent and descriptive.

Tool Count3/5

A single tool feels thin for an OpenAPI client generator. While it may suffice for a minimal use case, most users would expect additional capabilities like validation or endpoint listing.

Completeness2/5

The tool only generates a client from a specification. Obvious gaps include validating the spec, listing endpoints, or configuring output options, which limits its usefulness.

Resources

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