JigsawStack MCP Server
@JigsawStack
About JigsawStack MCP Server
Model Context Protocol Server that allows AI models to interact with JigsawStack models!
Basic information
Config
No standard config provided
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RepositoryTools
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Overview
What is JigsawStack MCP Server?
JigsawStack MCP Server is a modular platform built with Node.js and Express.js that lets LLMs integrate and manage tools—currently AI web scraping, AI web search, and image generation—each encapsulated in its own directory. Developers use it to give AI models easy access to external data and generation capabilities via the JigsawStack API.
How to use JigsawStack MCP Server?
Clone the repository, install dependencies with npm install (or yarn), export your JIGSAWSTACK_API_KEY environment variable, then run npm start. The server listens on http://localhost:3000. Tools can also be installed via Smithery AI.
Key features of JigsawStack MCP Server
- Modular tool architecture—each tool in its own directory
- AI-powered web scraping
- AI-powered web search for complex queries
- Image generation from text prompts
- Free API key available from JigsawStack dashboard
Use cases of JigsawStack MCP Server
- Let an LLM scrape and extract data from any web page
- Perform intelligent web searches that handle complex, multi‑step queries
- Generate images from natural language descriptions
FAQ from JigsawStack MCP Server
What are the prerequisites for running the server?
You need git, node.js, and npm (or yarn) installed on your system.
How do I get a JIGSAWSTACK_API_KEY?
Sign up for a free account at JigsawStack and retrieve your API key from the dashboard.
How do I start the server?
After cloning and installing dependencies, set the JIGSAWSTACK_API_KEY environment variable and run npm start. The server will be available at http://localhost:3000.
Can I install the MCP through Smithery AI?
Yes, you can discover and install JigsawStack MCPs via Smithery AI.
What tools are included in the server?
The server currently includes three tools: AI web scraper, AI web search, and image generation.
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