Dev tools · alternatives · 2026
24 alternatives to Parselbox
An embeddable Python runtime where AI agents call tools as code. Powered by Deno and Pyodide. - thesanjeetc/Parselbox
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier.
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Runtimefree tier, from $99/mo▲299Sandboxed coding agents for everyone on your team
May 2026 · runtm.com · its alternatives →
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MCP Builder▲115Instantly create & deploy MCP servers from any API spec
2025 · mcp.ag2.ai · its alternatives →
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SuperHQ▲95Hey HN, I built SuperHQ, an app that lets you run coding agents in local sandboxes (powered by Shuru). No custom UI wrapping the agents, they run as CLI/TUI like they were designed to. It just provides you the tools most of us (okay, maybe just me?) needed for running multiple coding agents in parallel without worrying about breaking your system or work environment. Each agent runs in its own microVM. You mount your projects in, writes go to a tmpfs overlay so your host is never touched, and you get a unified diff view to accept or discard changes. API keys never enter the sandbox, they…
Apr 2026 · superhq.ai · its alternatives →
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This is a pet project of mine where I build a MCP with WASM plugin system (published to OCI). I added a new plugin today that use Rust, compiled to WebAssembly to run Python code securely.
2025 · github.com · its alternatives →
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A collection of open-source TypeScript tools by @enmanuelmag. heimdall-mcp for MCP proxy telemetry. agent-harness-kit for multi-agent orchestration.
May 2026 · ahk.cardor.dev · its alternatives →
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BossHogg▲65The agent-first PostHog CLI. Query events with HogQL, manage feature flags, inspect persons and cohorts, and debug insights - from your terminal, or from Claude Code, Cursor, and other coding agents. - aaronkwhite/bosshogg-cli
May 2026 · github.com · its alternatives →
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I built Polymcp, a framework that allows you to transform any Python function into an MCP (Model Context Protocol) tool ready to be used by AI agents. No rewriting, no complex integrations. Examples Simple function: from polymcp.polymcp_toolkit import expose_tools_http def add(a: int, b: int) -> int: """Add two numbers""" return a + b app = expose_tools_http([add], title="Math Tools") Run with: uvicorn server_mcp:app --reload Now add is exposed via MCP and can be called directly by AI agents. API function: import requests from polymcp.polymcp_toolkit import expose_tools_http def…
Jan 2026 · its alternatives →
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A sandbox service for running untrusted, agent-authored code that reports the isolation boundary each run executed behind. Lessons, no clone needed: https://plimsollmark.github.io/plimsoll/trainers/ - plimsollmark/plimsoll
11d ago · github.com · its alternatives →
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Sandboxed runtime for programming languages and WASI binaries. Works in the browser, on your server, or via MCP. - runno/packages/mcp at main · taybenlor/runno
2025 · github.com · its alternatives →
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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…
2025 · its alternatives →
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LangGraph orchestration scaffold (Python) + restricted tool runner (Rust) with batching and run traces. - christianmeurer/Lula
Apr 2026 · github.com · its alternatives →
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Hi HN, I saw one friction point when working as part of a team that uses coding agents extensively - there is nothing to enable coordination between agent used by people in a team. Many times my agent would ask me to decide upon something with a fellow teammate, for which I have to serve as the network layer. So I built Parley where agents can connect to the hub over MCP with their own team-scoped token. An agent addresses a teammate's agent by name and ask questions/handover tasks. Agents can also use file claims to signal what files they are working on, to highlight overlapping work.…
Aug 2026 · parley.weldra.dev · its alternatives →
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Automate browser based workflows with AI. Contribute to Skyvern-AI/skyvern development by creating an account on GitHub.
2025 · github.com · its alternatives →
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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…
2025 · github.com · its alternatives →
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A Python SDK for sandboxed filesystem operations, built on just-bash, AgentFS, and Pyodide. Provides AI agents with a persistent, isolated environment backed by SQLite.
Jan 2026 · github.com · its alternatives →
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We built a reference MCP server that lets your editor/agent learn a codebase directly from source (signatures, types, AST, comments). Docs are optional. The reference impl runs on our open-source project’s codebase. Why we built it Docs are important, but they add another abstraction layer between your code and your users. Keeping them at the right quality is hard (especially at a startup), and LLM-generated docs are often mediocre until you invest real polish. Exposing code to the model in a structured way keeps answers grounded and current, and it’s always available. You can even…
2025 · github.com · its alternatives →
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Most of the MCP servers that I’ve seen are tools implemented in standalone projects. To onboard more tools (especially agents and multi-agent workflows) to MCP, I’ve been thinking it’s important to allow AI engineers to continue to prototype in their existing agent frameworks and deploy with minimal conversion when ready. We created the automcp library, which you can add as a dependency to existing projects (CrewAI, LangGraph, Llama Index, OpenAI Agents SDK, Pydantic AI, mcp-agent currently supported but more coming soon). You just need to run a CLI command to create a run_mcp.py file, make…
2025 · github.com · its alternatives →
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Re-usable Playbooks for AI Agents, built on MCP.
2025 · director.run · its alternatives →
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Run AI generated code in isolated sandboxes
2025 · github.com · its alternatives →
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Caplets▲13Caplets gives coding agents focused capability modes instead of giant MCP tool walls.
Jul 2026 · caplets.dev · its alternatives →
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Gumpbox▲13Hi HN community, I'm the maker behind Gumpbox, a native macOS app that connects AI agents to your Linux servers. Stop typing commands. Just tell Claude or ChatGPT what to do. Deploy apps, restart services, check server health - all through conversation. AI agents execute everything through Gumpbox's built-in MCP (Model Context Protocol) server running locally on your Mac. AI-Powered Server Management - Built-in MCP server connects Claude, ChatGPT, or any AI agent to your infrastructure - Chat to deploy: "Deploy the latest build to production" - Chat to debug: "Why is nginx using so much…
2025 · gumpbox.com · its alternatives →
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Got tired of every MCP example being overly verbose, or needing Docker or Mac-only scripts, so I threw together MCP-123. Point it at a tools.py, run `server.run_server(...)`, and the client auto-discovers/calls functions with OpenAI. I hope this is useful to you all.
2025 · github.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →