Gumloop Gumcp Server Model Context Protocol Gumloop

Bonisiwe Shabane

-Dec 28, 2025, 3:43 PM

gumloop gumcp server model context protocol gumloop

Interact with Gumloop to manage automated workflows, saved flows, run executions, and organization audit logs List saved flows/items in your Gumloop account for a specific user or project List workbooks and their associated saved flows with nested flow information Retrieve automation run history for workbooks or saved items with execution details Start/trigger flow execution via API with optional input parameters for automation guMCP is an open-source collection of Model Context Protocol (MCP) servers that can be run both remotely and locally.

The project aims to create the largest collection of MCP servers with a unified backend, fostering a community around AI integrations and the future of AGI. While many MCP server providers are closed source, and open-source alternatives typically only support local hosting through stdio, guMCP provides: Dual Transport Support: All servers support both: Unified Backend: Consistent implementation patterns across all servers Extensive Server Collection: Including servers for: Unifies Model Context Protocol (MCP) servers with a consistent backend for local and remote AI integrations.

GuMCP stands as an innovative, open-source initiative, presenting a robust collection of Model Context Protocol (MCP) servers designed to streamline AI integrations. This powerful platform enables users to establish a unified backend architecture, whether operating servers locally or remotely. The core mission of GuMCP is to serve as a comprehensive, community-driven resource for developers and AI enthusiasts, fostering a consistent implementation across a variety of servers. By supporting both standard input/output (stdio) and Server-Sent Events (SSE) transports, GuMCP ensures flexibility and broad compatibility. As an open-source project, it actively encourages community contributions, driving the continuous development and enhancement of AI tools and sophisticated workflows, making it a pivotal resource for anyone looking to build with advanced AI... GuMCP excels in providing a unified backend architecture, ensuring consistent server implementation across diverse applications.

It boasts an extensive and growing collection of MCP servers, catering to a wide array of AI integration needs. The platform offers the flexibility of supporting both local (stdio) and remote (SSE) hosting, allowing users to adapt to their specific operational environments. Furthermore, GuMCP champions community-driven development, actively facilitating contributions and fostering a collaborative ecosystem for the advancement of AI technologies. This commitment to open access and shared development makes building and managing AI solutions with an mcp server more accessible than ever. guMCP, or Gumloop Unified Model Context Protocol, is an open-source collection of Model Context Protocol (MCP) servers. It's designed to offer a unified backend for both local and remote AI integrations, simplifying the process of managing and connecting to various AI models and tools, especially when utilizing an mcp server.

To begin with guMCP, you'll need to clone the repository from GitHub. Following this, set up a virtual environment, install the necessary dependencies, and configure the required environment variables. Comprehensive instructions and practical usage examples are readily available within the project's README file, guiding you through the setup of your mcp server. Interact with Linear issue tracking and project management List issues in the user's Linear workspace. For my issues, use 'me' as the assignee.

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guMCP is short for 'Gumloop's Unified Model Context Protocol' and will be a single service that routes requests to our hosted MCP servers. Our team will be independently contributing new servers (aka apps that your AI will be able to interact with) to the project almost daily. Model Context Protocol, MCP for short, is a standardized way for AI to interact with 3rd party apps. If you're familiar with an API, it's similar but even simpler and more straightforward than API specifications so AI apps like Claude and ChatGPT can fetch and write data from the tools you use... Hosted MCP servers make it really easy to add 3rd party integrations to your AI apps or chatbots on the fly. We wrote a much more comprehensive blog post about MCP here for you to check out.

If you're looking to use the MCP clients— as in you want to do cool things like send emails and post to Slack from within Cursor, Claude, Chat GPT (coming soon) or any other... Here's an example of how to integrate with Cursor: guMCP is an open-source collection of Model Context Protocol (MCP) servers that can be run both remotely and locally. The project aims to create the largest collection of MCP servers with a unified backend, fostering a community around AI integrations and the future of AGI. While many MCP server providers are closed source, and open-source alternatives typically only support local hosting through stdio, guMCP provides: Dual Transport Support: All servers support both:

Unified Backend: Consistent implementation patterns across all servers Extensive Server Collection: Including servers for:

Gumloop Gumcp Server Model Context Protocol Gumloop

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Interact With Gumloop To Manage Automated Workflows, Saved Flows, Run

The Project Aims To Create The Largest Collection Of MCP

GuMCP Stands As An Innovative, Open-source Initiative, Presenting A Robust

It Boasts An Extensive And Growing Collection Of MCP Servers,

To Begin With GuMCP, You'll Need To Clone The Repository