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Specrun

by pavelpihaversion 1.4.0i★ –iRuns on your computer
Registry nameio.github.pavelpiha/specrun

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

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

Run this in your terminal

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

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account pavelpiha, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32742 servers in this category
  • Published to the registry more recently than 2% of the other 32742 servers in this category
  • Basic checks equal to or better than 100% of the other 32742 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Specrun safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.4.0) reached the registry 9 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Asset Notation

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago
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Asset Notation

by assetnotation

Read and maintain an Asset Notation file on disk: net worth, holdings, valuations, CSV import.

Runs on your computerUpdated today
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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.

Ask PopNx