Prototype · Preview: every server in the official registry, synced every 30 minutes. Reviews and accounts come in a later step.
PopNx MCPMCP servers for people who use AI · explained in plain words

Agentify

by sani-savaliyaversion 0.1.1i★ –iRuns on your computer
Registry nameio.github.sani-savaliya/agentify

Install

Overview

Description from the maker (original English)

Turn any OpenAPI/Swagger spec into an MCP server - every API operation becomes an agent tool.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other
  • You need to fill in: AGENTIFY_BEARER_TOKEN, AGENTIFY_API_KEY, AGENTIFY_BASIC_PASS

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: AGENTIFY_BEARER_TOKEN, AGENTIFY_API_KEY, AGENTIFY_API_KEY_HEADER, AGENTIFY_API_KEY_QUERY, AGENTIFY_BASIC_USER, AGENTIFY_BASIC_PASS

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "agentify": {
      "command": "npx",
      "args": [
        "-y",
        "agentify-openapi"
      ],
      "env": {
        "AGENTIFY_BEARER_TOKEN": "your-value",
        "AGENTIFY_API_KEY": "your-value",
        "AGENTIFY_API_KEY_HEADER": "your-value",
        "AGENTIFY_API_KEY_QUERY": "your-value",
        "AGENTIFY_BASIC_USER": "your-value",
        "AGENTIFY_BASIC_PASS": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add agentify --env AGENTIFY_BEARER_TOKEN=your-value --env AGENTIFY_API_KEY=your-value --env AGENTIFY_API_KEY_HEADER=your-value --env AGENTIFY_API_KEY_QUERY=your-value --env AGENTIFY_BASIC_USER=your-value --env AGENTIFY_BASIC_PASS=your-value -- npx -y agentify-openapi

Fill in the empty values before running it.

This one needs values on its command line, so copy the settings and fill them in.

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "agentify": {
      "command": "npx",
      "args": [
        "-y",
        "agentify-openapi"
      ],
      "env": {
        "AGENTIFY_BEARER_TOKEN": "your-value",
        "AGENTIFY_API_KEY": "your-value",
        "AGENTIFY_API_KEY_HEADER": "your-value",
        "AGENTIFY_API_KEY_QUERY": "your-value",
        "AGENTIFY_BASIC_USER": "your-value",
        "AGENTIFY_BASIC_PASS": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one needs values on its command line, so copy the settings and fill them in.

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "agentify": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "agentify-openapi"
      ],
      "env": {
        "AGENTIFY_BEARER_TOKEN": "your-value",
        "AGENTIFY_API_KEY": "your-value",
        "AGENTIFY_API_KEY_HEADER": "your-value",
        "AGENTIFY_API_KEY_QUERY": "your-value",
        "AGENTIFY_BASIC_USER": "your-value",
        "AGENTIFY_BASIC_PASS": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • AGENTIFY_BEARER_TOKEN secret env
    Optional. Sent to the upstream API as 'Authorization: Bearer '.
  • AGENTIFY_API_KEY secret env
    Optional API key for the upstream API. Sent as a header (name auto-discovered from the spec's security schemes, default X-API-Key).
  • AGENTIFY_API_KEY_HEADER env
    Optional. Override the header name used for AGENTIFY_API_KEY.
  • AGENTIFY_API_KEY_QUERY env
    Optional. Send AGENTIFY_API_KEY as this query parameter instead of a header.
  • AGENTIFY_BASIC_USER env
    Optional HTTP basic auth username (pair with AGENTIFY_BASIC_PASS).
  • AGENTIFY_BASIC_PASS secret env
    Optional HTTP basic auth password (pair with AGENTIFY_BASIC_USER).

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account sani-savaliya, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32700 servers in this category
  • Published to the registry more recently than 12% of the other 32700 servers in this category
  • Basic checks equal to or better than 100% of the other 32700 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Agentify safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: AGENTIFY_BEARER_TOKEN, AGENTIFY_API_KEY, AGENTIFY_BASIC_PASS

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 5 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Agent Data Tools: Utilities

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

agentify

Turn any OpenAPI / Swagger spec into an agent-ready MCP server.

Listed on the official MCP Registry (io.github.sani-savaliya/agentify) and Smithery.

Point it at a spec — a URL, a file, OpenAPI 3.x or Swagger 2.0 — and every operation becomes a tool an AI agent can call. No code generation, no per-API boilerplate, no hosting. One command.

npx agentify-openapi https://petstore3.swagger.io/api/v3/openapi.json --list
Swagger Petstore - OpenAPI 3.0 v1.0.27

Base URL: https://petstore3.swagger.io/api/v3 Tools: 19

getPetById Find pet by ID. findPetsByStatus Finds Pets by status. ...

Why

*"Today, agents have to operate software designed for humans. The interfaces of

the future will be built for agents — APIs, MCPs, CLIs — with agents as

first-class citizens."* — YC RFS: Software for Agents

There are tens of thousands of APIs that already describe themselves with an OpenAPI document. agentify makes every one of them agent-native, instantly, without anyone hand-writing an integration.

Use it with Claude, Cursor, Windsurf — any MCP client

Add it to your client's MCP config. The same command/args shape works in Claude Desktop, Claude Code (claude mcp add), Cursor (.cursor/mcp.json), Windsurf, Cline, and anything else that speaks MCP:

{

"mcpServers": { "petstore": { "command": "npx", "args": ["-y", "agentify-openapi", "https://petstore3.swagger.io/api/v3/openapi.json"] } } }

The agent now has one tool per API operation. Calling a tool builds the HTTP request (path params, query string, headers, JSON body) and returns the live response.

Big API? Pick just the tools you need

Pointing at GitHub (1000+ operations) or Stripe (400+) would flood your agent with hundreds of tools and wreck its tool-selection accuracy. Filter down to what matters — by tag, HTTP method, or name glob — and cap the total:

# GitHub, read-only, just the repo endpoints

npx agentify-openapi https://api.github.com/openapi.json --tag repos --read-only

Stripe customer endpoints only, hard cap at 25 tools

npx agentify-openapi ./stripe.json --include "*Customer*" --max-tools 25

{

"mcpServers": { "github-repos": { "command": "npx", "args": ["-y", "agentify-openapi", "https://api.github.com/openapi.json", "--tag", "repos", "--read-only", "--max-tools", "30"], "env": { "AGENTIFY_BEARER_TOKEN": "ghp_your_token" } } } }

--read-only (GET/HEAD/OPTIONS) is also a simple safety rail — expose a giant API to an agent without exposing anything that can mutate state.

Auth

Provide credentials via environment variables — agentify reads the spec's declared security scheme to find the right header name when it can:

VariableEffect
AGENTIFY_BEARER_TOKENAuthorization: Bearer
AGENTIFY_BASIC_USER / AGENTIFY_BASIC_PASSHTTP basic auth
AGENTIFY_API_KEYAPI key (sent as a header by default)
AGENTIFY_API_KEY_HEADEROverride the api-key header name
AGENTIFY_API_KEY_QUERYSend the api key as a query param instead

You can also inject raw headers from the CLI: --header "X-Org-Id: 42" (repeatable).

CLI

agentify <spec-url-or-file> [options]

--base-url Override the API base URL from the spec --header "K: V" Add a raw header to every request (repeatable) --name Override the MCP server name --list Print the discovered tools and exit (no server) -h, --help Show help

Tool selection (keep big APIs from flooding the agent's context): --tag Keep only operations with this tag (repeatable) --exclude-tag Drop operations with this tag (repeatable) --method Keep only this HTTP method, e.g. GET (repeatable) --read-only Shorthand: keep only GET/HEAD/OPTIONS operations --include Keep only tools matching this glob (repeatable) --exclude Drop tools matching this glob (repeatable) --max-tools Hard cap on tool count (warns when it truncates)

How it works

A small, pure pipeline — each stage is independently unit-tested:

spec ──▶ operations ──▶ tool defs ──▶ http request ──▶ response

│ │ │ │ │ load & one tool JSON Schema path/query/ fetch + surface deref per op for inputs header/body status & body $refs + auth

Only the HTTP execution and MCP transport touch the outside world; everything else is deterministic and tested.

Programmatic use

import { loadSpec, extractOperations, resolveBaseUrl, createServer } from "agentify-openapi";

const spec = await loadSpec("./openapi.yaml"); const tools = extractOperations(spec); const baseUrl = resolveBaseUrl(spec); // ...build your own MCP server, or just inspect the generated tool defs

Limitations

  • JSON request/response bodies are first-class; multipart/form bodies are passed through best-effort.
  • cookie parameters and OAuth2 flows are not yet handled (use --header for now).
  • One server per spec. Multi-spec aggregation is on the roadmap.

Development

npm install

npm test # vitest, 80%+ coverage enforced npm run build # tsc -> dist/ node scripts/smoke.mjs # end-to-end MCP client smoke test (network)

License

MIT

Ask PopNx