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Glama MCP Server for Windsurf 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools IDE

Windsurf brings agentic AI coding to a purpose-built IDE. Connect Glama through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.

Vinkius supports streamable HTTP and SSE.

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Glama and 2,500+ MCP Servers from a single visual interface.

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Classic Setup·json
{
  "mcpServers": {
    "glama": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
Glama
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Windsurf's Cascade agent chains multiple Glama tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 8 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your 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 Windsurf 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 Windsurf via MCP

Follow these steps to integrate the Glama MCP Server with Windsurf.

01

Open MCP Settings

Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"

02

Add the server

Paste the JSON configuration above into mcp_config.json

03

Save and reload

Windsurf will detect the new server automatically

04

Start using Glama

Open Cascade and ask: "Using Glama, help me...". 8 tools available

Why Use Windsurf with the Glama MCP Server

Windsurf provides unique advantages when paired with Glama through the Model Context Protocol.

01

Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention

02

Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively

03

JSON-based configuration means zero code changes: paste a URL, reload, and all 8 tools are immediately available

04

Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts

Glama + Windsurf Use Cases

Practical scenarios where Windsurf combined with the Glama MCP Server delivers measurable value.

01

Automated code generation: ask Cascade to fetch data from Glama and generate models, types, or handlers based on real API responses

02

Live debugging: query Glama tools mid-session to inspect production data while debugging without leaving the editor

03

Documentation generation: pull schema information from Glama and have Cascade generate comprehensive API docs automatically

04

Rapid prototyping: combine Glama data with Cascade's code generation to scaffold entire features in minutes

Glama MCP Tools for Windsurf (8)

These 8 tools become available when you connect Glama to Windsurf 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 Windsurf

Ready-to-use prompts you can give your Windsurf 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 Windsurf

Common issues when connecting Glama to Windsurf through the Vinkius, and how to resolve them.

01

Server not connecting

Check Settings → MCP for the server status. Try toggling it off and on.

Glama + Windsurf FAQ

Common questions about integrating Glama MCP Server with Windsurf.

01

How does Windsurf discover MCP tools?

Windsurf reads the mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.
02

Can Cascade chain multiple MCP tool calls?

Yes. Cascade is an agentic system. it can plan and execute multi-step workflows, calling several tools in sequence to accomplish complex tasks without manual prompting between steps.
03

Does Windsurf support multiple MCP servers?

Yes. Add as many servers as needed in mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.

Connect Glama to Windsurf

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