Glama MCP Server for Windsurf 8 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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.




{
"mcpServers": {
"glama": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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_serversandget_mcp_server_infoto find context protocols needed dynamically without interrupting deep-work focus states. - Gateway Proxies — List active LLM models navigating
list_gateway_modelsand push semantic prompts viarun_gateway_chatexecuting parallel logic chains outside local memory. - Matrix Attributes — Uncover standard classification strings with
get_mcp_attributesassessing global MCP logic matrices. - Hosted Telemetry — Scan local instances routing
get_hosted_instancesand actively parse behavior metrics pushing logs throughsend_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.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
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.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 8 tools are immediately available
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.
Automated code generation: ask Cascade to fetch data from Glama and generate models, types, or handlers based on real API responses
Live debugging: query Glama tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Glama and have Cascade generate comprehensive API docs automatically
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:
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
glama_get_gateway_models
Audit the complete list of AI models supported natively by the Glama OpenAI-compatible gateway
glama_get_hosted_instances
Cannot access public instances natively from here. Fetch all Private Hosted MCP instances assigned to your specific Glama account
glama_get_mcp_attributes
List filtering attributes and semantic categorizations mapped within the Glama MCP Registry
glama_get_mcp_server_info
Requires its namespace and slug. Extract detailed parameters and installation instructions for a specific Glama MCP server
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
glama_run_gateway_chat
Bifurcate an isolated conversational prompt using a specific model through the Glama proxy network
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.
"Find all MCP servers relating to CRM logic inside the registry, then let me know their basic descriptions."
"Are there smaller LLMs available on the Glama API gateway we can proxy text to quickly?"
"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.
Server not connecting
Glama + Windsurf FAQ
Common questions about integrating Glama MCP Server with Windsurf.
How does Windsurf discover MCP tools?
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.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
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 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 Glama to Windsurf
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
