Connect Gumloop to GitHub Copilot CLI
Give GitHub Copilot CLI governed access to Gumloop’s 45 tools through Runlayer, with identity, policy, scanning, and audit on every call.
Set up
Add Gumloop to GitHub Copilot CLI in four steps
Admins approve the server once. Everyone in GitHub Copilot CLI then gets it through the same governed connection.
- 1
Approve Gumloop in Runlayer
Add Gumloop from the catalog and choose who can use it and which of its tools are allowed.
- 2
Connect GitHub Copilot CLI to Runlayer
Users add the Runlayer Plugin to GitHub Copilot CLI by following Runlayer’s setup guide. GitHub Copilot CLI reaches Gumloop’s 45 tools through the Runlayer Plugin’s search and execute tools instead of listing each one.
GitHub Copilot CLI setup guide - 3
Sign in to Gumloop
Sign in the way Gumloop requires. Runlayer holds the credentials so they stay out of the client’s configuration.
- 4
Use Gumloop from GitHub Copilot CLI
Gumloop’s approved tools appear in GitHub Copilot CLI. Every call is checked against policy and recorded.
Tools
45 Gumloop tools in GitHub Copilot CLI
Runlayer policy decides which of these GitHub Copilot CLI users can call.
List agents
List agents in your Gumloop account, with optional search and workspace filtering.
Get agent
Fetch a single Gumloop agent's configuration by its ID.
Ask gummie
Ask questions and get AI-powered answers from Gumloop documentation.
Attach agent MCP server
Attach an MCP server (connector) to a Gumloop agent, or update its configuration if already attached.
Attach agent skills
Attach one or more existing skills to a Gumloop agent.
Call MCP tool
Execute a single tool on a connected MCP server.
Cancel session
Cancel an in-progress Gumloop agent session.
Create agent
Create a new Gumloop agent with a name, model, and optional configuration.
Control
What Runlayer can see and stop in GitHub Copilot CLI
Some controls apply to every client at the gateway. Others depend on what GitHub Copilot CLI exposes to Runlayer.
Gateway policy (available)
Every Gumloop call from GitHub Copilot CLI passes through Runlayer, where your policies can allow, alert, mask, or block it.
Audit trail (available)
Each call is recorded with the user, GitHub Copilot CLI as the client, the tool, and the policy and scanner decisions.
Client hooks (available)
Capture supported prompts, reasoning, local and MCP tool calls, responses, and scanner decisions in real time.
Stop a call before it runs (available)
Runlayer can deny a tool call or permission request before GitHub Copilot CLI runs it.
Block output after it runs (available)
Runlayer can block a tool’s output before GitHub Copilot CLI’s model sees it.
Redact output in place (available)
Runlayer can mask sensitive parts of a successful tool’s output in GitHub Copilot CLI and pass the rest through.
In GitHub Copilot CLI
- When a tool fails, Runlayer records the error but cannot replace it.
Frequently asked questions
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