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Glama MCP Server for VS Code Copilot 8 tools — connect in under 2 minutes

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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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Classic Setup·json
{
  "mcpServers": {
    "glama": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Glama MCP Server

Empower your local Vinkius terminal intelligence with the Glama.ai infrastructure bridge. Rather than navigating generic web interfaces to find compatible model contexts, let your core logic intuitively search, index, and introspect external MCP servers on the fly. In addition, harness the power to query multiple standard LLM networks via the Glama API Gateway, consolidating all programmatic text completion requirements cleanly.

GitHub Copilot Agent mode brings Glama data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 8 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

What you can do

  • MCP Registry Scuba — Seamlessly query list_mcp_servers and get_mcp_server_info to find context protocols needed dynamically without interrupting deep-work focus states.
  • Gateway Proxies — List active LLM models navigating list_gateway_models and push semantic prompts via run_gateway_chat executing parallel logic chains outside local memory.
  • Matrix Attributes — Uncover standard classification strings with get_mcp_attributes assessing global MCP logic matrices.
  • Hosted Telemetry — Scan local instances routing get_hosted_instances and actively parse behavior metrics pushing logs through send_telemetry.

The Glama MCP Server exposes 8 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 Glama to VS Code Copilot via MCP

Follow these steps to integrate the Glama MCP Server with VS Code Copilot.

01

Create MCP config

Create a .vscode/mcp.json file in your project root

02

Add the server config

Paste the JSON configuration above

03

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown

04

Start using Glama

Ask Copilot: "Using Glama, help me...". 8 tools available

Why Use VS Code Copilot with the Glama MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Glama through the Model Context Protocol.

01

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

02

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

03

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

04

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

Glama + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Glama MCP Server delivers measurable value.

01

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

02

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

03

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

04

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Glama MCP Tools for VS Code Copilot (8)

These 8 tools become available when you connect Glama to VS Code Copilot via MCP:

01

glama_get_gateway_model_details

g. "anthropic/claude-3-5-sonnet") to fetch the specific configurations exposed by the Glama unified API proxy. Investigate granular attributes (prices, context window, parameters) of a specific proxied Gateway Model

02

glama_get_gateway_models

Audit the complete list of AI models supported natively by the Glama OpenAI-compatible gateway

03

glama_get_hosted_instances

Cannot access public instances natively from here. Fetch all Private Hosted MCP instances assigned to your specific Glama account

04

glama_get_mcp_attributes

List filtering attributes and semantic categorizations mapped within the Glama MCP Registry

05

glama_get_mcp_server_info

Requires its namespace and slug. Extract detailed parameters and installation instructions for a specific Glama MCP server

06

glama_list_mcp_servers

Capable of loose text matching to discover new agentic capabilities. Search and list MCP servers directly from the global Glama directory

07

glama_run_gateway_chat

Bifurcate an isolated conversational prompt using a specific model through the Glama proxy network

08

glama_send_telemetry

Can be triggered after your AI uses a specific external server. Report semantic usage execution metrics back to the Glama Telemetry backend

Example Prompts for Glama in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with Glama immediately.

01

"Find all MCP servers relating to CRM logic inside the registry, then let me know their basic descriptions."

02

"Are there smaller LLMs available on the Glama API gateway we can proxy text to quickly?"

03

"Report a successful telemetry execution map event back to Glama for the GitHub repo tool."

Troubleshooting Glama MCP Server with VS Code Copilot

Common issues when connecting Glama to VS Code Copilot through the Vinkius, and how to resolve them.

01

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

Glama + VS Code Copilot FAQ

Common questions about integrating Glama MCP Server with VS Code Copilot.

01

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.
02

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.
03

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.
04

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .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 Glama to VS Code Copilot

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.