How to Use the Glama MCP in Windsurf
Let Windsurf Cascade search the Glama directory and auto-route model requests on the fly.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Glama MCP to Windsurf
Create your Vinkius account to connect Glama to Windsurf and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Dynamic tool discovery for Windsurf Cascade
Cascade can now search the global repository of servers without you leaving your workspace. When you ask for a tool you don't have, Cascade uses `glama_list_mcp_servers` to find it and pulls setup steps via `glama_get_mcp_server_info`. This cuts out manual web searches. By inspecting `glama_get_mcp_attributes`, Cascade understands what capabilities are out there and plans its next execution chain based on live registry data.
Run multi-model chains inside Windsurf
Stop hardcoding model endpoints in your Windsurf configuration. This MCP integration lets Cascade use `glama_get_gateway_models` to check which models are online and routes complex reasoning steps through `glama_run_gateway_chat`. If a specific task needs a heavy reasoning model, Cascade grabs the specs with `glama_get_gateway_model_details` and fires the prompt. You get multi-model flexibility inside a single Windsurf session.
Track Windsurf execution metrics via Glama
Cascade can list your team's private servers using `glama_get_hosted_instances` to keep your proprietary tools close at hand. This MCP setup keeps your workspace clean by loading only what your immediate task requires. After running a sequence, Cascade sends execution logs back with `glama_send_telemetry`. Your team gets complete visibility into which tools are actually helping Windsurf solve problems.
Set up Glama MCP in Windsurf
Prerequisites
- Windsurf IDE installed (macOS, Windows, or Linux)
- Active Vinkius subscription with a valid endpoint token
- 1
Open MCP configuration
Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open
~/.codeium/windsurf/mcp_config.json. - 2
Add the Glama MCP
Paste the JSON snippet shown on the right into the
mcpServersobject. Replace[YOUR_TOKEN_HERE]with your endpoint token from cloud.vinkius.com. - 3
Refresh MCPs
Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.
- 4
Verify in Cascade
Start a new Cascade conversation and ask something like "Show my Glama payment history." If connected, Cascade will call the Glama tools directly. You will see a green dot next to the server name in the MCP panel.
{
"mcpServers": {
"glama-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
} Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Glama. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Glama MCP in Windsurf
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Glama MCP today
We host it, we monitor it, we maintain it. You just paste one token.