Glif MCP Server
The Glif MCP Server enables users to run AI workflows, manage glifs and bots, and access glif metadata seamlessly through MCP. It supports customization of tools, including full glif agents, making AI integrations highly flexible and extensible within the glif.app ecosystem.
Added on:
Created by:
Apr 23 2025
The Glif MCP Server enables users to run AI workflows, manage glifs and bots, and access glif metadata seamlessly through MCP. It supports customization of tools, including full glif agents, making AI integrations highly flexible and extensible within the glif.app ecosystem.
Added on:
Created by:
Apr 23 2025
Glif
Featured
What is Glif MCP Server?
The Glif MCP Server facilitates running AI workflows directly from glif.app by providing tools to execute glifs with specific inputs, manage bots, and retrieve detailed metadata about glifs, runs, and users. It supports URI-based resource access and allows for extensive customization of available tools, including the addition or removal of glifs and agents. The server can be deployed via npm, local checkout, or remotely through Smithery, offering a versatile environment for AI workflow automation, development, and experimentation, with strong support for multimedia AI models.
Who will use Glif MCP Server?
- AI developers
- Researchers
- Workflow automation engineers
- Glif platform users
How to use the Glif MCP Server?
- Step 1: Obtain an API token from glif.app
- Step 2: Choose deployment method (npx, local, or Smithery)
- Step 3: Configure your MCP client with the server details and API token
- Step 4: Use provided tools to run glifs, manage bots, or access metadata
- Step 5: Customize tools or add new glifs as needed
Glif MCP Server's Core Features & Benefits
The Core Features
- Run glifs with inputs
- Get detailed information about glifs, runs, and users
- Access glif metadata via URI resources
- Customize available tools
- Manage glifs and bots
The Benefits
- Supports flexible AI workflow management
- Extensible and customizable tools environment
- Seamless metadata access
- Supports multimedia AI models
- Easy deployment options
Glif MCP Server's Main Use Cases & Applications
- AI workflow automation within glif.app
- Management of glifs and bots for AI projects
- Metadata retrieval for glif resources
- Customization of AI tools for research or development
FAQs of Glif MCP Server
Developer
You may also like:
Developer Tools
A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.
Research And Data
A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
A MCP client integrating Brave Search API for web searches, utilizing MCP protocol for efficient communication.
A protocol server enabling seamless communication between Umbraco CMS and external applications.
NOL integrates LangChain and Open Router to create a multi-client MCP server using Next.js
Connects LLMs to Firebolt Data Warehouse for autonomous querying, data access, and insight generation.
A client framework for connecting AI agents to MCP servers, enabling tool discovery and integration.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
An open-source client to interact with multiple MCP servers, enabling seamless tool access for Claude.
AI Chatbot
Integrates APIs, AI, and automation to enhance server and client functionalities dynamically.
Provides long-term memory for LLMs by storing and retrieving contextual information via MCP standards.
An advanced clinical evidence analysis server supporting precision medicine and oncology research with flexible search options.
A platform collecting A2A agents, tools, servers, and clients for effective agent communication and collaboration.
A Spring-based chatbot for Cloud Foundry that integrates with AI services, MCP, and memGPT for advanced capabilities.
An AI agent controlling macOS using OS-level tools, compatible with MCP, facilitating system management via AI.
PHP client library enabling interaction with MCP servers via SSE, StdIO, or external processes.
A platform for managing and deploying autonomous agents, tools, servers, and clients for automation tasks.
Enables interaction with powerful Text to Speech and video generation APIs for multimedia content creation.
An MCP server providing API access to RedNote (XiaoHongShu, xhs) for seamless integration.