microfn

Deploy JavaScript functions

Category: Developer Tools
Primary Subcategory: App Hosting & Deployment Platforms

Integration details

Description

microfn is a sandboxed cloud environment for building, deploying, and running tiny JavaScript functions - designed to be AI-friendly. Give ChatGPT its own workspace to write functions, deploy them, manage their code and secrets, and run the functions you've already built. With microfn, ChatGPT can: - Write and deploy a new JavaScript function on request - Inspect, update, and validate the code of existing functions - Manage function settings and secrets securely - Run your functions and use their results in the conversation Each function runs in an isolated sandbox, so ChatGPT can safely create and compose its own tools - fetch a weather API, build a key-value store, post to Slack, send a Telegram message, and much more.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Developer Tools
Primary Subcategory: App Hosting & Deployment Platforms
Secondary Subcategories: None listed
Brand: microfn
Access: Account required
First tracked: 2026-08-14
Tool count: 20
Geography: US

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Primary Subcategory

Competing in ChatGPT App Hosting & Deployment Platforms

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Listed in alphabetical order

Primary Subcategory

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Tools

20 tools agents can invoke

Validate and lint TypeScript code snippet for MicroFn. Returns validation results and package extraction summary.
Check the deployment status of a function. Requires functionName parameter in format 'username/functionName'.
Create a new MicroFn workspace/function with TypeScript code. The code must export either: 1) A 'main' function as the entry point, OR 2) Any named function (which will be auto-wrapped with a main function). Examples: 'export async function main() { return "hello" }', 'export async function sayHello(name) { return "hello " + name }' (auto-wrapped), 'export async function main() { const btc = await fetch("..."); return btc.json() }'. IMPORTANT: Import @microfn/* modules as defaults: 'import kv from "@microfn/kv"' NOT 'import { kv } from "@microfn/kv"'. Common patterns: use @microfn/secret for env vars, @microfn/kv for persistent storage (e.g., counters, cache), and fetch() for HTTP requests. Input: 'name' (string) - the function name, 'code' (string) - the TypeScript code. Output: the created workspace object with its name and metadata.
Creates a new secret for the specified function. Secrets cannot be overwritten; if the key already exists, delete it first.
Deletes a secret from the specified function. Call getSecrets first to obtain the secret's id.
Execute a function with given input. Requires functionName (format: 'username/functionName') and optional inputData parameters.
Generate a new function from a natural language prompt. Returns one or more code variations.
Get one execution of a function, including its trigger, arguments, response, error and logs. Takes the id or execution_id reported by listExecutions. Requires functionName in format 'username/functionName'.
Get details of a function (no source code). Use getFunctionCode for code. Requires functionName parameter in format 'username/functionName'.
Get the source code of a function. Requires functionName parameter in format 'username/functionName'.
Retrieves all secrets for the specified function
List recent executions of a function, newest first, to find a run worth inspecting. Returns each run's status, trigger, error and timestamps, but not its arguments, response or logs (call getExecution for those). Requires functionName in format 'username/functionName'.
List available MicroFn workspaces/functions, 20 per page in 'username/name' order, for use with the other tools. When 'hasMore' is true, request the next 'page' for the rest of the account.
Lists packages from the latest deployment. Requires functionName parameter in format 'username/functionName'.
Simple ping tool to test connectivity
Rename a function/workspace
Find MicroFn functions whose name contains a substring, case-insensitively. Matches the function name only, not the username. Pages like listFunctions, with 'total' counting every match.
Update the source code of a function. The code can export either: 1) A 'main' function directly, OR 2) Any named function (auto-wrapped). Examples: Bitcoin price fetcher: 'export async function main() { const res = await fetch("https://api.coingecko.com/api/v3/simple/price?ids=bitcoin&vs_currencies=usd"); return { price_usd: (await res.json()).bitcoin.usd }; }'. With KV counter: 'import kv from "@microfn/kv"; export async function main() { const count = (await kv.get("visits")) || 0; await kv.set("visits", count + 1); return { visits: count + 1 }; }'. IMPORTANT: Always use default imports for @microfn/* modules. Requires functionName (format: 'username/functionName') and code parameters.
Update settings for a function, such as enabling/disabling MCP tool exposure.
Wait for a function deployment to complete. Uses PubSub integration for real-time updates with 30-second timeout. Returns immediately if not currently deploying.

microfn FAQ

How do I improve a ChatGPT Plugin's discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are microfn alternatives on ChatGPT?

As of 2026-09-28, microfn competes with BasicDeploy, BoxToPlay, Catalyst by Zoho, Domain India, mittwald, Netlify, Railway, Render, Rig, ShipStatic, Sprites, Tiniest Cloud, Vercel in ChatGPT App Hosting & Deployment Platforms, ranked by public Discoverability Score.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.

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Competing in ChatGPT App Hosting & Deployment Platforms

20 tools agents can invoke