Jibble MCP Server for VS Code Copilot 10 tools — connect in under 2 minutes
GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.
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{
"mcpServers": {
"jibble": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
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About Jibble MCP Server
Empower your AI agents with Jibble's time tracking and attendance platform. This MCP server allows you to list time entries, retrieve person details, track activities and projects, and view organization information directly through the Jibble API. Ideal for automating workforce management and productivity analysis.
GitHub Copilot Agent mode brings Jibble data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 10 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.
The Jibble MCP Server exposes 10 tools through the Vinkius. Connect it to VS Code Copilot in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Jibble to VS Code Copilot via MCP
Follow these steps to integrate the Jibble MCP Server with VS Code Copilot.
Create MCP config
Create a .vscode/mcp.json file in your project root
Add the server config
Paste the JSON configuration above
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
Start using Jibble
Ask Copilot: "Using Jibble, help me...". 10 tools available
Why Use VS Code Copilot with the Jibble MCP Server
GitHub Copilot for Visual Studio Code provides unique advantages when paired with Jibble through the Model Context Protocol.
VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor
Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access
Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop
GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services
Jibble + VS Code Copilot Use Cases
Practical scenarios where VS Code Copilot combined with the Jibble MCP Server delivers measurable value.
Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step
DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review
Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses
Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples
Jibble MCP Tools for VS Code Copilot (10)
These 10 tools become available when you connect Jibble to VS Code Copilot via MCP:
get_organization
Use to verify account-wide configuration. Retrieves organization details
get_person
Essential for detailed HR analysis of an individual team member. Retrieves details for a specific person
get_time_entry
Returns location data, activity notes, and associated device info. Use for auditing or correcting a specific employee time log. Retrieves details for a specific time entry
list_activities
g., "Meeting", "Development", "Break") that employees can select when clocking in. Useful for identifying high-level task categories. Lists all configured activities
list_clients
Useful for professional services tracking and billable hours auditing. Lists all configured clients
list_groups
g., "Sales Team", "Remote Workers") used to organize the workforce. Useful for group-based performance reporting. Lists all configured groups
list_locations
Useful for auditing site-based workforce distribution. Lists all configured locations
list_people
Includes names, emails, and internal IDs. Use this to identify personnel before querying their time entries. Lists all people in the organization
list_projects
Use this when the user asks for a project-based time breakdown. Lists all configured projects
list_time_entries
Returns employee IDs, entry times, and durations. Use this to monitor workforce activity and total work hours. Lists all time entries
Example Prompts for Jibble in VS Code Copilot
Ready-to-use prompts you can give your VS Code Copilot agent to start working with Jibble immediately.
"List all people in my Jibble organization."
"Show me the recent time entries."
"What are the active projects in Jibble?"
Troubleshooting Jibble MCP Server with VS Code Copilot
Common issues when connecting Jibble to VS Code Copilot through the Vinkius, and how to resolve them.
MCP tools not available
Jibble + VS Code Copilot FAQ
Common questions about integrating Jibble MCP Server with VS Code Copilot.
Which VS Code version supports MCP?
How do I switch to Agent mode?
Can I restrict which MCP tools Copilot can access?
Does MCP work in VS Code Remote or Codespaces?
.vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.Connect Jibble with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Jibble to VS Code Copilot
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.