lnkify
MCP server that enables AI agents to manage Lnkify links, domains, API keys, and analytics. Allows creation and resolution of short links through natural language.
README
<div align="center">
🔗 lnkify CLI
Not just a URL Shortener. Open Source, fully customizable.
Manage your Lnkify links, domains, API keys, and analytics straight from the terminal — and plug Lnkify into any AI agent over MCP.
</div>
Install
npm install -g lnkify
# or run without installing
npx lnkify --help
Requires Node.js >= 22.
Quickstart
# 1. Point at your server (defaults to http://localhost:4000)
lnkify config set url http://localhost:4000
# 2. Authenticate — interactive login...
lnkify login
# ...or use a scoped API key (lf_live_…)
lnkify config set api-key lf_live_xxxxxxxxxxxx
# 3. Create and manage links
lnkify links create https://example.com --slug launch --track
lnkify links list
lnkify resolve launch
lnkify analytics
Connecting to a server
The CLI is local-first (defaults to http://localhost:4000) but talks to any
Lnkify instance, local or remote. The host and credentials are resolved with this
precedence (highest wins):
- Flags —
--url,--api-key - Environment —
LNKIFY_API_URL,LNKIFY_API_KEY - Active profile — selected with
--profile <name>(else the default profile) - Built-in default —
http://localhost:4000
Profiles (multiple servers)
lnkify --profile prod config set url https://links.acme.com
lnkify --profile prod config set api-key lf_live_xxxx
lnkify --profile prod links list # hit prod
lnkify links list # hit local default
Config lives at ~/.config/lnkify/config.json (honors $XDG_CONFIG_HOME) and is
written with 0600 permissions because it holds secrets.
Commands
| Command | Description |
|---|---|
lnkify login / logout / whoami |
Authenticate and inspect the current user |
lnkify config set|get|list |
Manage URL, API key, and profiles |
lnkify links create <target> |
Create a short link (--slug, --title, --track, --domain, --rule) |
lnkify links list |
List links (--search, --take, --skip, --page) |
lnkify links get|update|delete <id> |
Inspect, edit, or remove a link |
lnkify links bulk <create|update|delete> --file |
Bulk import from JSON/CSV (--dry-run) |
lnkify resolve <slug> |
Resolve a slug to its destination |
lnkify analytics |
Aggregate totals and top links |
lnkify domains add|list|verify|rm |
Manage custom domains |
lnkify apikeys create|list|revoke |
Manage API keys |
lnkify mcp serve |
Run the CLI as a stdio MCP server for AI agents |
lnkify mcp install |
Print/write an MCP client config snippet |
Add --json to any command for clean, pipeable machine output:
lnkify links list --json | jq '.items[].lnkify'
AI agents (MCP)
lnkify mcp serve exposes your links as Model Context Protocol tools over stdio, so
agents like Claude can create and manage short links on your behalf using your
configured credentials.
lnkify mcp install --client claude # prints a ready-to-paste config block
Development
pnpm install
pnpm dev # tsup --watch
pnpm build
pnpm test # node:test via tsx
pnpm lint
pnpm typecheck
Contributing
Contributions are welcome — see CONTRIBUTING.md for setup, project layout, and the checks to run before opening a PR.
License
MIT © Mohit Yadav
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
Neon Database
MCP server for interacting with Neon Management API and databases
E2B
Using MCP to run code via e2b.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.