原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Specrun

作者:pavelpiha版本 1.4.0i★ –i在你的电脑上运行
注册名称io.github.pavelpiha/specrun

安装

概览

作者提供的说明(英文原文)

MCP server that converts OpenAPI specs into tools which can query API endpoints

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 开发者工具

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你需要

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "specrun": {
      "command": "npx",
      "args": [
        "-y",
        "@pavelpiha/specrun"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add specrun -- npx -y @pavelpiha/specrun

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "specrun": {
      "command": "npx",
      "args": [
        "-y",
        "@pavelpiha/specrun"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "specrun": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@pavelpiha/specrun"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 pavelpiha 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“开发者工具”中的其他服务器比较i

  • 星标数多于此分类中其他 4898 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 4898 个服务器的 4% 更新
  • 基础检查结果等于或优于此分类中其他 4898 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Specrun 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.4.0)于9个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:GitHub, Desktop Commander, Cloudflare MCP

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

GitHub

作者:github

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

电脑或云端★ 34,245MIT4天前更新
安装

Desktop Commander

作者:wonderwhy-er

MCP server for terminal commands, file operations, and process management

在你的电脑上运行★ 10,225MIT16天前更新
安装

Cloudflare MCP

作者:cloudflare

Cloudflare MCP servers

在云端运行★ 4,446Apache-2.014个月前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

SpecRun

An MCP server that turns OpenAPI specifications into MCP tools. Scans a folder for OpenAPI spec files and automatically generate corresponding tools. These tools can then be used in any MCP client to interact with the APIs defined by the specs, with built-in support for authentication and server URL management via a simple .env file.

Built with FastMCP for TypeScript.

✨ Features

  • Zero Configuration: Filesystem is the interface - just drop OpenAPI specs in a folder
  • Supports OpenAPI 3.0 and 2.0: Works with both OpenAPI 3.x and Swagger 2.0 specs
  • Namespace Isolation: Multiple APIs coexist cleanly
  • Full OpenAPI Support: Handles parameters, request bodies, authentication, and responses
  • Run Any Tool to Interact with APIs: For example, cars_addCar to call POST /cars from cars.json spec to create a new car, or github_get_user_repos to call GET /user/repos from github.yaml spec to list repos.
  • Run Any Tool with Custom Inputs: Pass structured JSON inputs for parameters and request bodies
  • Run Any Tool to see Spec Details: Get the original OpenAPI spec details for any tool, including parameters, request body schema, and response schema
  • Run Any Tool to get API responses as resources: Each tool call returns a JSON resource containing request URL, request body, and response
  • Run Any Tool in Batch: One specrun_batch tool can execute any tool with multiple inputs and returns a consolidated JSON resource
  • Auto Authentication: Simple .env file with {API_NAME}_API_KEY pattern
  • Auto .env Placeholders: Adds {API_NAME}_SERVER_URL and {API_NAME}_BEARER_TOKEN entries when missing
  • Multiple Transports: Support for stdio and HTTP streaming
  • Built-in Debugging: List command to see loaded specs and tools
  • MCP Prompts: Built-in prompts for listing tools, generating inputs, and explaining schemas
  • Agent: configured agent for using SpecRun tools to explore and operate APIs in a guided way (.github/agents/specrun.agent.md)

Quick Start

Requirements
  • Node.js 22 or newer
1️⃣ Install (optional)
npm install -g specrun
2️⃣ Create a specs folder where the server can read OpenAPI spec files. For example:
mkdir ~/specs
3️⃣ Add OpenAPI specs

Drop any .json, .yaml, or .yml OpenAPI specification files into your specs folder

4️⃣ Configure authentication (optional)

Create a .env file in your specs folder:

# ~/specs/.env

CARS_API_KEY=your_api_key_here

SpecRun will also ensure {API_NAME}_SERVER_URL and {API_NAME}_BEARER_TOKEN entries exist for each spec, adding empty placeholders when missing. When {API_NAME}_SERVER_URL has a value, SpecRun updates the spec file on load:

  • OpenAPI 3.0: updates the first servers entry.
  • OpenAPI 2.0 (formerly Swagger 2.0): updates host, schemes, and basePath (no servers section in OpenAPI 2.0).

SpecRun also watches the .env file and refreshes server URLs and auth config automatically after changes.

5️⃣ Add to MCP client configuration

Add to your MCP configuration:

If installed on your machine:

{

"mcpServers": { "specrun": { "command": "specrun", "args": ["--specs", "/path/to/your/specs/folder"] } } }

Otherwise:

{

"mcpServers": { "specrun": { "command": "npx", "args": ["-y", "specrun", "--specs", "/absolute/path/to/your/specs"] } } }

or with specific Node version:

{

"mcpServers": { "specrun": { "command": "/Users/YOUR_USER_NAME/.local/bin/mcp-npx-node22", "args": ["specrun@latest", "--specs", "/absolute/path/to/your/specs"], "type": "stdio" } } }

The mcp-npx-node22 script file uses nvm to run specrun with Node.js 22.14.0, ensuring compatibility regardless of the default Node version on your system.:

#!/bin/bash

Set the PATH to include NVM's Node.js v22.14.0 installation

export PATH="/Users/YOUR_USER_NAME/.nvm/versions/node/v22.14.0/bin:$PATH"

Execute npx with all passed arguments

exec npx "$@"

💻 CLI Usage

🚀 Start the server
# Default: stdio transport, current directory

specrun

Custom specs folder

specrun --specs ~/specs

HTTP transport mode

specrun --transport httpStream --port 8080

Run with Node 22 using npx

If your default node is older than 22, run SpecRun with Node 22 directly:

  • npx -y node@22 ... runs the Node.js runtime, so the next argument must be a script path (for example ./node_modules/.bin/specrun).
  • specrun@latest is an npm package spec and works directly with npx only when your current Node version already satisfies SpecRun requirements.

Or list tools

npx -y node@22 ./node_modules/.bin/specrun list --specs ~/specs

If your default Node is already 22+, this also works

npx -y specrun@latest --specs ~/specs

📋 List loaded specs and tools
# List all loaded specifications and their tools

specrun list

List specs from custom folder

specrun list --specs ~/specs

🔑 Authentication Patterns

The server automatically detects authentication from environment variables using these patterns:

PatternAuth TypeUsage
{API_NAME}_API_KEY🗝️ API KeyX-API-Key header
{API_NAME}_TOKEN🎫 Bearer TokenAuthorization: Bearer {token}
{API_NAME}_BEARER_TOKEN🎫 Bearer TokenAuthorization: Bearer {token}
{API_NAME}_USERNAME + {API_NAME}_PASSWORD👤 Basic AuthAuthorization: Basic {base64}

SpecRun also creates .env placeholders for:

PatternPurpose
{API_NAME}_SERVER_URLBase URL for the API
{API_NAME}_BEARER_TOKENToken placeholder if missing

If {API_NAME}_SERVER_URL is set, SpecRun writes that value into the spec before generating tools:

  • OpenAPI 3.0: writes the first servers entry.
  • OpenAPI 2.0 (formerly Swagger 2.0): writes host, schemes, and basePath.

Updates to .env are applied automatically without restarting the MCP server.

The {API_NAME} is derived from the filename of your OpenAPI spec:

  • cars.json → CARS_API_KEY
  • github-api.yaml → GITHUB_TOKEN
  • my_custom_api.yml → MY_CUSTOM_API_KEY

🏷️ Tool Naming

Tools are automatically named using this pattern:

  • With operationId: {operation_id}
  • Without operationId: {method}_{path_segments}

Name normalization rules:

  • Converted to snake_case
  • Lowercased
  • Non-alphanumeric characters normalized to _
  • Truncated at the end when longer than 52 characters. (For VS Code/Copilot compatibility, stays within the practical 64-char internal limit.)
  • Adds short suffixes only when needed to resolve collisions

Specs:

  • get_car_by_id (from operationId)
  • get_user_repos (generated from GET /user/repos)

Use the shared batch tool to run any tool with an array of inputs:

{

"toolName": "cars_getCarById", "items": [{ "id": "123" }, { "id": "456" }], "failFast": false }

Batch responses return a consolidated JSON resource with per-item outputs.

For batches over 200 items, SpecRun requires explicit confirmation. This is to prevent accidental large runs that could cause performance issues or unintended consequences. The server will return a message asking for confirmation, and you can retry with confirmLargeBatch: true and the provided confirmLargeBatchToken to proceed.

📦 Resource Outputs

Tool responses are returned as MCP resources with application/json content. Each resource includes:

  1. Request URL
  2. Request body
  3. Response status and body

Example resource payload:

{

"requestUrl": "https://api.example.com/v1/users/123", "requestBody": null, "response": { "status": 200, "body": { "id": "123", "name": "Jane Doe" } } }

Batch runs return a single consolidated resource containing all item results.

📁 File Structure

your-project/

── specs/ # Your OpenAPI specs folder ├── .env # Authentication credentials └── custom-api.yml # Your OpenAPI spec files

🧭 MCP Prompts

SpecRun exposes MCP prompts for common workflows:

Detailed prompt guide with examples: PROMPTS_README.md

  • list_apis: List loaded APIs/tools and ask the user to choose an endpoint
  • generate_api_call: Generate a ready-to-run JSON input payload for a tool
  • explain_api_schema: Explain parameters and request body schema with examples
  • generate_random_data: Generate random ready-to-run JSON payload samples for a tool

📄 Example OpenAPI Spec

Here's a minimal example that creates two tools:

# ~/specs/example.yaml

openapi: 3.0.0 info: title: Example API version: 1.0.0 servers:

  • url: https://api-server.placeholder

paths: /users/{id}: get: operationId: getUser summary: Get user by ID parameters:

  • name: id in: path required: true schema: type: string responses: "200": description: User found /users: post: operationId: createUser summary: Create a new user requestBody: required: true content: application/json: schema: type: object properties: name: type: string email: type: string responses: "201": description: User created

This creates tools named:

  • example_getUser
  • example_createUser

🔧 Troubleshooting

❌ No tools appearing?
  1. Check that your OpenAPI specs are valid:
   specrun list --specs /path/to/specs
  1. Ensure files have correct extensions (.json, .yaml, .yml)
  1. Check the server logs for parsing errors

⚠️ Note: SpecRun works best when you use absolute paths (with no spaces) for the --specs argument and other file paths. Relative paths or paths containing spaces may cause issues on some platforms or with some MCP clients.

🔐 Authentication not working?
  1. Verify your .env file is in the specs directory
  2. Check the naming pattern matches your spec filename
  3. Use the list command to verify auth configuration:
   specrun list
🔄 Tools not updating after spec changes?
  1. Restart the MCP server to reload the specs
  2. Check file permissions
  3. Restart the MCP client if needed

🛠️ Development

# Clone and install

git clone git@github.com:Pavel-Piha/specrun.git cd specrun npm install

Build

npm run build

npm run dev -- list --specs ./specs

🤝 Contributing

Contributions are welcome! Please feel free to submit issues and pull requests.

问 PopNx