any-script-mcp
Enables execution of arbitrary CLI tools and shell scripts by defining them in YAML configuration fi...
Open the FastMCP connection dialog
- Click the "Install Now" button to open the FastMCP connection / environment variables entry interface.
Create or locate your any-script-mcp config file (optional)
- If you want to use a custom configuration file path, create your config at the default location: ~/.config/any-script-mcp/config.yaml.
- If you use a custom path, add an environment variable named ANY_SCRIPT_MCP_CONFIG in the FastMCP interface and set its value to the full path (e.g., /home/you/my-any-script-config.yaml).
Add OpenAI key (OPENAI_API_KEY)
- Log in to your OpenAI account at the OpenAI Dashboard.
- Go to the “API keys” (or “View API keys / Tokens”) section.
- Create a new secret key (if you don’t have one yet) and copy it immediately (it is shown only once).
- In the FastMCP connection interface add an environment variable named OPENAI_API_KEY and paste the copied secret key as the value.
- Save the connection.
Add Google GenAI / Gemini key (GEMINI_API_KEY) — if you will use the gemini-search example
- Open Google Cloud Console and select or create a project.
- Enable the Generative AI / GenAI (or the relevant Google GenAI/Vertex AI) API for the project.
- Go to “APIs & Services” → “Credentials” and create credentials (an API key or a service-account key depending on the Google recommendation for that API).
- Copy the resulting API key or service-account credential string as instructed by Google.
- In the FastMCP connection interface add an environment variable named GEMINI_API_KEY and paste the key as the value.
- Save the connection.
Add any other service keys referenced by your tools
- Inspect your any-script-mcp config.yaml for any tools that read environment variables (e.g., other APIs). For each required key:
- Follow the provider’s console steps to create or retrieve an API key / token.
- In FastMCP add an environment variable with the exact name the tool expects (e.g., EDGEONE_PAGES_API_TOKEN, AIRTABLE_API_KEY, etc.) and paste the secret value.
- Save the connection.
- Inspect your any-script-mcp config.yaml for any tools that read environment variables (e.g., other APIs). For each required key:
Finalize and test
- After adding all required environment variables in the FastMCP interface, click the Install/Save button to apply the configuration.
- Run or test the tool (for example via the MCP Inspector: npx @modelcontextprotocol/inspector npx any-script-mcp) to ensure the tools that depend on those env vars can access the credentials.
Security reminders
- Treat these values as secrets: do not commit them into source control.
- Rotate keys if they are accidentally exposed and update the corresponding FastMCP environment values.
Quick Start
Choose Connection Type for
Authentication Required
Please sign in to use FastMCP hosted connections
Run MCP servers without
local setup or downtime
Access to 1,000+ ready-to-use MCP servers
Skip installation, maintenance, and trial-and-error.
No local setup or infra
Run MCP servers without Docker, ports, or tunnels.
Always online
Your MCP keeps working even when your laptop is off.
One secure URL
Use the same MCP from any agent, anywhere.
Secure by default
Encrypted connections. Secrets never stored locally.
Configuration for
Environment Variables
Please provide values for the following environment variables:
HTTP Headers
Please provide values for the following HTTP headers:
started!
The MCP server should open in . If it doesn't open automatically, please check that you have the application installed.
Copy and run this command in your terminal:
Make sure Gemini CLI is installed:
Visit Gemini CLI documentation for installation instructions.
Make sure Claude Code is installed:
Visit Claude Code documentation for installation instructions.
Installation Steps:
Configuration
Installation Failed
More for Automation
View All →FreeCAD
Enables AI-driven CAD modeling by providing a remote procedure call (RPC) server that allows programmatic control of FreeCAD, supporting operations like creating documents, inserting parts, editing objects, and executing Python code for generative design workflows.
Blender
Experience seamless AI-powered 3D modeling by connecting Blender with Claude AI via the Model Context Protocol. BlenderMCP enables two-way communication, allowing you to create, modify, and inspect 3D scenes directly through AI prompts. Control objects, materials, lighting, and execute Python code in Blender effortlessly. Access assets from Poly Haven and generate AI-driven models using Hyper3D Rodin. This integration enhances creative workflows by combining Blender’s robust tools with Claude’s intelligent guidance, making 3D content creation faster, interactive, and more intuitive. Perfect for artists and developers seeking AI-assisted 3D design within Blender’s environment.
Meta Ads
Unlock AI-driven insights and control for your Meta ad campaigns across Facebook and Instagram. Meta Ads MCP enables large language models to analyze performance, visualize creatives, and provide strategic recommendations through a unified interface. Manage campaigns, ad sets, and ads with actionable feedback on budget allocation, targeting, and creative improvements. Compatible with any MCP client and supports comprehensive campaign management on all Meta platforms. Leverage automated monitoring, creative optimization, and detailed performance metrics to maximize your advertising impact effortlessly.
More for Developer Tools
View All →
GitHub
Extend your developer tools with the GitHub MCP Server—a powerful Model Context Protocol server enhancing automation and AI interactions with GitHub APIs. It supports diverse functionalities like managing workflows, issues, pull requests, repositories, and security alerts. Customize available toolsets to fit your needs, enable dynamic tool discovery to streamline tool usage, and run the server locally or remotely. With read-only mode and support for GitHub Enterprise, this server integrates deeply into your GitHub ecosystem, empowering data extraction and intelligent operations for developers and AI applications. Licensed under MIT, it fosters flexible and advanced GitHub automation.
Desktop Commander
Desktop Commander MCP transforms Claude Desktop into a powerful AI assistant for managing files, running terminal commands, and editing code with precision across your entire system. It supports in-memory code execution, interactive process control, advanced search and replace, plus comprehensive filesystem operations including reading from URLs and negative offset file reads. With detailed audit and fuzzy search logging, it enables efficient automation, data analysis, and multi-project workflows—all without extra API costs. Designed for developers seeking smarter automation, it enhances productivity by integrating all essential development tools into a single, intelligent chat interface.
Chrome DevTools
Provides direct Chrome browser control through DevTools for web automation, debugging, and performance analysis using accessibility tree snapshots for reliable element targeting, automatic page event handling, and integrated performance tracing with actionable insights.
FreeCAD
Enables AI-driven CAD modeling by providing a remote procedure call (RPC) server that allows programmatic control of FreeCAD, supporting operations like creating documents, inserting parts, editing objects, and executing Python code for generative design workflows.