photon: Define intent once. Photon turns a single TypeScript file into CLI tools, MCP servers, and web interfaces

by portel-dev · MCP Server · ★ 100

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install photon

bun add -g @portel/photon
bunx @portel/photon new my-tool

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 66/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-toolsbeamclaude-codeclaude-desktopcli-toolcloudflare-workerscursordeveloper-toolsmarketplacemcp

Quick Facts

Stars100
Forks5
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score66/100
Last Updated2026-10-19
Created2025-11-05
Platformsbrowser, claude-code, cli, mcp, node
Est. Tokens~21k

About photon

One TypeScript capability becomes the whole agent stack. Photon is the fastest way to turn a small, verified TypeScript method into something humans can operate and agents can trust. Write the capability once; Photon derives the interfaces, contracts, and runtime behavior around it: MCP server for Claude, ChatGPT, Cursor, and agents Embedded app UI for chat clients that support MCP app resources...

photon alternative? Top 6 similar tools

Looking for a photon alternative? If you're comparing photon with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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    🏛 [UNDER CONSTRUCTION] A (roman) claude plugin marketplace

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    HeyClaude (formerly Claude Pro Directory) is a searchable collection of pre-built AI skills, agents, MCP serve

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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