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Show HN: Open-Source MCP Server for Context and AI Tools

43 points apichar | 1 comments | 14 Mar 25 23:15 UTC | HN request time: 0.211s | source

Large Language Models (LLMs) are powerful, but they’re limited by fixed context windows and outdated knowledge. What if your AI could access live search, structured data extraction, OCR, and more—all through a standardized interface?

We built the JigsawStack MCP Server, an open-source implementation of the Model Context Protocol (MCP) that lets any AI model call external tools effortlessly.

Here’s what it unlocks:

- Web Search & Scraping: Fetch live information and extract structured data from web pages.

- OCR & Structured Data Extraction: Process images, receipts, invoices, and handwritten text with high accuracy.

- AI Translation: Translate text and documents while maintaining context. Image Generation: Generate images from text prompts in real-time.

Instead of stuffing prompts with static data or building custom integrations, AI models can now query MCP servers on demand—extending memory, reducing token costs, and improving efficiency.

Read the full breakdown here: https://jigsawstack.com/blog/jigsawstack-mcp-servers

If you’re working on AI-powered applications, try it out and let us know how it works for you.

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fudged71 ◴[15 Mar 25 03:15 UTC] No.43369658[source]▶
Very cool.

How does it work when multiple installed MCP servers have overlapping functionality? Are MCPs going to have competing prompts saying for example they’re the best to choose for OCR etc?

replies(1): >>43370199 #
1. jasonjmcghee ◴[15 Mar 25 05:25 UTC] No.43370199[source]▶
Yes absolutely. And if you install an mcp server with a poorly written prompt, your sota llm might try to use it for everything. Prompt injection attacks will also be a thing. Depending on how this all plays out, we're in for interesting times.

The number of threads of people asking how to permanently accept all tool use so they don't have to accept them manually...