Parselbox
Give every agent an execution layer, not another tool.
What it does
Parselbox turns MCP servers, APIs, shells and host functions into native Python objects. Agents discover capabilities on demand, then compose them with code, files, packages and background tasks in one stateful workspace. Move orchestration out of the model’s context window and into code. Run it as an MCP server or embed the Python API. Powered by Deno + Pyodide.
An embeddable Python runtime where AI agents call tools as code. Powered by Deno and Pyodide. - thesanjeetc/Parselbox
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- OPOSS Python client for creating MCP capable agents in 6 lines of code2025 · github.com · ▲5
Hello HN, Pietro here! I've been really excited to see the recent buzz around MCP and all the cool things people are building with it. Though, the fact that you can use it only through desktop apps really seemed wrong and prevented me for trying most examples, so I wrote a simple client, then I wrapped into some class, and I ended up creating a python package that abstracts some of the async uglyness. You need: * one of those MCPconfig JSONs * 6 lines of code and you can have an agent use the MCP tools from python. The structure is simple: an MCP client creates and manages the connection and…

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Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
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