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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: 0.252s | 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Large Language Models (LLMs) are powerful, but they’re limited by fixed context windows and outdated knowledge.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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dlevine ◴[15 Mar 25 01:22 UTC] No.43369073[source]▶
I have been playing around with MCP, and one of its current shortcomings is that it didn’t support OAuth. This means that credentials need to be hardcoded somewhere. Right now, it appears that a lot of MCP servers are run locally, but there is no reason they couldn’t be run as a service in the future.

There is a draft specification for OAuth in MCP, and hopefully this is supported soon.

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1. rguldener ◴[15 Mar 25 06:35 UTC] No.43370490[source]▶
You could use Nango for the OAuth flow and then pass the user’s token to the MCP server: https://nango.dev/auth

Free for OAuth with 400+ APIs & can be self-hosted

(I am one of the founders)