Glif▌
by glifxyz
Run AI workflows on Glif.app via MCP — ComfyUI image generators, meme & selfie creators, chained LLM calls and more for
Run AI workflows hosted on Glif.app via MCP, including ComfyUI-based image generators, meme generators, selfies, chained LLM calls, and more
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / AI developers building creative applications
- / Content creators needing automated image generation
- / Developers integrating AI workflows into existing tools
capabilities
- / Run AI workflows with custom inputs
- / Search and discover available workflows
- / Generate images using ComfyUI-based tools
- / Create memes and process selfies
- / Chain multiple LLM calls together
- / Browse workflow details and user information
what it does
Connects to Glif.app to run AI workflows like image generators, meme creators, and chained LLM processes directly from your MCP client.
about
Glif is an official MCP server published by glifxyz that provides AI assistants with tools and capabilities via the Model Context Protocol. Run AI workflows on Glif.app via MCP — ComfyUI image generators, meme & selfie creators, chained LLM calls and more for It is categorized under ai ml, developer tools.
how to install
You can install Glif in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Glif is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
glif-mcp-server
MCP server for running AI workflows from glif.app.
For more info check out https://glif.app or join our Discord server: https://discord.gg/glif
Features
- Run workflows with inputs
- Get detailed information about workflows, runs, and users
- Search and discover workflows
- Browse and load agents
Setup
Running via npx (recommended)
If you have nodejs installed, you can run our @glifxyz/glif-mcp-server package via npx:
-
Get your API token from https://glif.app/settings/api-tokens
-
Add the server in your Claude Desktop config file. On macOS this is:
~/Library/Application Support/Claude/claude_desktop_config.json{ "mcpServers": { "glif": { "command": "npx", "args": ["-y", "@glifxyz/glif-mcp-server@latest"], "env": { "GLIF_API_TOKEN": "your-token-here" } } } }
Running from a local checkout
git clone https://github.com/glifxyz/glif-mcp-server
cd glif-mcp-server
npm install
npm run build
Then configure your MCP client:
{
"mcpServers": {
"glif": {
"command": "node",
"args": ["/path/to/glif-mcp/build/index.js"],
"env": {
"GLIF_API_TOKEN": "your-token-here"
}
}
}
}
You can also specify workflow IDs (comma-separated) which will be loaded automatically:
{
"mcpServers": {
"glif": {
"command": "node",
"args": ["/path/to/glif-mcp/build/index.js"],
"env": {
"GLIF_API_TOKEN": "your-token-here",
"GLIF_IDS": "cm2v9aiga00008vfqdiximl2m,cm2v98jk6000r11afslqvooil"
}
}
}
}
Configuration
Environment variables:
GLIF_API_TOKEN- Required. Your API token from https://glif.app/settings/api-tokensGLIF_IDS- Optional. Comma-separated workflow IDs to load as tools automaticallyIGNORE_DISCOVERY_TOOLS- Set totrueto disable discovery toolsAGENT_TOOLS- Set totrueto enable agent tools
Tools
Core Tools
run_workflow- Run a workflow with the specified ID and inputsworkflow_info- Get detailed information about a workflow
Discovery Tools (enabled by default)
list_featured_workflows- Get a curated list of featured workflowssearch_workflows- Search for workflows by name or descriptionmy_workflows- Get a list of your workflowsmy_user_info- Get detailed information about your account
Agent Tools (disabled by default, enable with AGENT_TOOLS=true)
list_agents- Get a list of agents with optional filteringload_agent- Load an agent and get its details including personality and workflows
Resources
glif://{id}- Get workflow metadataglifRun://{id}- Get run detailsglifUser://{id}- Get user profile
Development
npm install
npm run build
npm run dev # auto-rebuild
npm run test # run tests
Debugging
npm run inspector
Releasing
- Edit
package.jsonandsrc/index.tsand bump the version - Run
npm installto update lockfile - Commit and push to main
- Run
npm run release(requiresghCLI)
License
MIT - see LICENSE
FAQ
- What is the Glif MCP server?
- Glif is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Glif?
- This profile displays 32 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ Use When
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid When
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.5★★★★★32 reviews- ★★★★★Aarav Srinivasan· Dec 28, 2024
I recommend Glif for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Advait Menon· Dec 20, 2024
We evaluated Glif against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Ganesh Mohane· Dec 8, 2024
Glif is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Aarav Liu· Dec 4, 2024
Glif has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Sakshi Patil· Nov 27, 2024
Glif is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Aarav Farah· Nov 23, 2024
According to our notes, Glif benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Chaitanya Patil· Oct 18, 2024
Glif has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Arjun Taylor· Oct 14, 2024
Glif is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Piyush G· Sep 25, 2024
Glif reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Zara Haddad· Sep 21, 2024
Strong directory entry: Glif surfaces stars and publisher context so we could sanity-check maintenance before adopting.
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