Glif

Organization

glifxyz

Deprecated — use the hosted Glif MCP server at https://glif.app/mcp

Publisher	glifxyz
Repository	`glif-mcp-server`
Forks	31
Stars	211
Available tools	0
Transport type	stdio
Categories	AI Ml Developer Tools
License	MIT
Links	GitHub Homepage

Connect tools to AI workflows
Glif exposes MCP capabilities that can be used by compatible AI clients and agents.
0 available tools
Browse the callable actions below, including names and descriptions when provided by the server.
Ready-to-copy setup
Use the installation snippets to configure this server in your preferred MCP client.
Open source signals
211 stars and 31 forks from the linked repository.

Glif MCP Server

Glif is a media-generation agent: generate images, video, and audio, transcribe, render HTML, search the web, run code, and chain multi-step media operations — from any MCP client.

Endpoint: https://glif.app/api/mcp (Streamable HTTP, JSON-RPC 2.0)
Auth: OAuth 2.1 with dynamic client registration — sign in with your Glif account, no API keys
Install page with one-click buttons: https://glif.app/mcp
Docs for agents: https://glif.app/llms.txt

This repo holds the registry metadata for the hosted server (see server.json); the server itself is part of the glif.app platform and is not open source.

[!NOTE] Looking for the old locally-run stdio server (npm @glifxyz/glif-mcp-server)? It's deprecated — the code is parked on the legacy-local-server branch.

Tools

compose_project does the work — describe what you want in plain language, including a whole series of variations, and Glif picks the models and chains the steps. It returns a job_id immediately; poll get_job_status for the media, which comes back as resource_link blocks pointing at CDN URLs. The rest are read and upload helpers. Call tools/list for the authoritative set, or see https://glif.app/mcp.

Generation spends credits from the signed-in Glif account; read-only tools are free. See https://glif.app/pricing.

Install

Claude (web / desktop)

Settings → Connectors → Add custom connector, paste:


https://glif.app/api/mcp

Claude Code

sh
claude mcp add --scope user --transport http glif "https://glif.app/api/mcp"

Cursor

Or add to .cursor/mcp.json:

json
{ "mcpServers": { "glif": { "url": "https://glif.app/api/mcp" } } }

VS Code

sh
code --add-mcp '{"name":"glif","type":"http","url":"https://glif.app/api/mcp"}'

ChatGPT

Enable developer mode, then Settings → Apps & Connectors → Add new connector, paste https://glif.app/api/mcp, pick OAuth.

Codex

sh
codex mcp add glif --url "https://glif.app/api/mcp"
codex mcp login glif

Any other MCP client

json
{ "mcpServers": { "glif": { "url": "https://glif.app/api/mcp", "transport": "http" } } }

Your client opens a browser OAuth sign-in on first connect — approve it to link your Glif account. More clients (Replit, Hermes, OpenClaw, LM Studio, …) with copy-paste snippets: https://glif.app/mcp

Registries

Anthropic MCP Registry

License

MIT - see LICENSE

Installation

TypingMind

Prerequisites:

Node.js 18+

{
  "mcpServers": {
    "glif": {
      "command": "npx",
      "args": [
        "-y",
        "@glifxyz/glif-mcp-server@latest"
      ],
      "env": {
        "GLIF_API_TOKEN": "your-token-here"
      }
    }
  }
}

Use Glif MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once Glif is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

Open TypingMind in your browser.
Click the Settings icon.
Go to Advanced Settings.
Open the Model Context Protocol section.
Click Setup Connector and choose This Device.

TypingMind MCP connector setup screen with This Device selected

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

Copy the setup command shown by TypingMind.
Open Terminal on macOS or Windows Terminal on Windows.
Paste and run the command.
Approve the package install if Terminal asks you to proceed.
Keep the Terminal window running while using MCP tools.

Add Glif as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

Wait until the connector status shows Ready.
Click Edit Servers.
Paste the Glif MCP server configuration.
Save the server list.
Refresh if you want to confirm the connector is still ready.

TypingMind MCP settings showing active server and Edit Servers button

Use it across models

Save the server list, open Plugins, enable the Glif MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

Open the Plugins page in TypingMind.
Enable the Glif MCP tools.
Start a chat and choose the AI model you want to use.
Use the MCP tools in chat or assign them to an AI agent.
Switch to another AI model whenever needed without reconnecting MCP.

TypingMind chat using enabled MCP tools with a selected AI model

Frequently asked questions

What is the Glif MCP server used for?

Glif is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use Glif MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use Glif with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use Glif MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With Glif connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect Glif MCP to TypingMind?

Glif runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does Glif MCP provide in TypingMind?

Glif exposes MCP capabilities that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use Glif MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If Glif requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

Related MCP Servers

View all

Knowledge Graph Memory

modelcontextprotocol

OrganizationPopular

Model Context Protocol Servers

Context7

Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors

Blender

Community plugin to control Blender 3D with any LLM of your choice

Google GenAI Toolbox

MCP Toolbox for Databases is an open source MCP server for databases.

Glif MCP Server

Tools

Install

Claude (web / desktop)

Claude Code

Cursor

VS Code

ChatGPT

Codex

Any other MCP client

Links

Registries

License

Installation

Use Glif MCP with multiple AI models

Setup guide to use the local connector

Open the MCP settings

Run the connector command

Add Glif as a server

Use it across models

Frequently asked questions

Related MCP Servers

Set up your own AI workspace now