MCP-Upstage-Server
OfficialEnables document processing through Upstage AI services including parsing various document formats, ...
Open FastMCP and click the "Install Now" button to open the connection / ENV entry interface.
Get an Upstage API key
- Sign in (or sign up) to the Upstage Console (the Getting Started / Dashboard pages provide an API key area). (upstage.ai)
Create or copy your API key
- On the Upstage Console Dashboard → API Keys (or the Getting Started page) copy the generated API key (you can also click "Create New Key" to generate a new one). (upstage-ai-education.gitbook.io)
Fill the FastMCP connection interface
- In the FastMCP ENV form opened by the "Install Now" button, add an environment variable with:
- Key/name: UPSTAGE_API_KEY
- Value: (paste the API key you copied from the Upstage Console)
- In the FastMCP ENV form opened by the "Install Now" button, add an environment variable with:
Save / Install the connection
- Click the FastMCP form’s Save / Install / Confirm button to persist the ENV. This will make the UPSTAGE_API_KEY available to the MCP server.
Verify and (if needed) restart
- If your MCP server was already running, restart it or re-install the MCP entry so the new ENV is picked up (or use the FastMCP UI verification if provided).
Security best practices
- Treat the key as a secret: do not commit it to source control, and rotate/delete the key from the Upstage Console if it becomes exposed. (upstage-ai-education.gitbook.io)
Alternative (command-line) usage
- If you prefer running the server locally instead of via FastMCP, you can pass the ENV directly when launching the MCP (example from the README):
UPSTAGE_API_KEY=your-api-key npx mcp-upstage-server.
- If you prefer running the server locally instead of via FastMCP, you can pass the ENV directly when launching the MCP (example from the README):
How to Install MCP-Upstage-Server
Install MCP-Upstage-Server MCP server with one click through FastMCP. Choose your preferred AI development tool below:
Claude Desktop
Click "Claude Desktop" in Quick Start
Cursor IDE
Click "Cursor IDE" in Quick Start
VS Code
Click "VS Code" in Quick Start
MCP-Upstage-Server is an officially maintained MCP server, verified by the FastMCP team.
Alternatives to MCP-Upstage-Server
Looking for similar MCP servers? Browse other servers in the same categories on FastMCP, or check out the similar servers listed above.
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 AI and Machine Learning
View All →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.
Video & Audio Text Extraction
Extracts text from videos and audio files across platforms like YouTube, Bilibili, TikTok, Instagram, Twitter/X, Facebook, and Vimeo using Whisper speech recognition for transcription, content analysis, and accessibility improvements.
Video Edit (MoviePy)
MoviePy-based video editing server that provides comprehensive video and audio processing capabilities including trimming, merging, resizing, effects, format conversion, YouTube downloading, and text/image overlays through an in-memory object store for chaining operations efficiently.
Qwen Code
Bridges Qwen's code analysis capabilities through CLI integration, providing file-referenced queries with @filename syntax, automatic model fallback, and configurable execution modes for code review, codebase exploration, and automated refactoring workflows.
More for Developer Tools
View All →
GitHub
Remote
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.
Similar MCP Servers
Supabase MCP Server
Remote
Connect Supabase projects directly with AI assistants using the Model Context Protocol (MCP). This server standardizes communication between Large Language Models and Supabase, enabling AI to manage tables, query data, and interact with project features like edge functions, storage, and branching. Customize access with read-only or project-scoped modes and select specific tool groups to fit your needs. Integrated tools cover account management, documentation search, database operations, debugging, and more, empowering AI to assist with development, monitoring, and deployment tasks in your Supabase environment efficiently and securely.
Anki MCP Server
An MCP server that enables AI assistants to interact with the Anki flashcard application for studying, deck management, and note creation. It supports natural language interaction for reviewing cards, searching content, and managing media files across local and remote environments.
astro-airflow-mcp
An MCP server that enables AI assistants to interact with Apache Airflow's REST API for DAG management, task monitoring, and system diagnostics. It provides comprehensive tools for triggering workflows, retrieving logs, and inspecting system health across Airflow 2.x and 3.x versions.