Bring Llm Gateway
to Claude Code
Create your Vinkius account to connect Glama to Claude Code and start using all 8 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
Compatible with every major AI agent and IDE
What is the 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.
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.
How it works
- Mount the Glama logic layer inside your Vinkius limits.
- In your Glama settings UI, emit a comprehensive API token. Map it perfectly inside your operating structure cleanly referencing the variable
GLAMA_API_KEY. - Instruct your logic mathematically: "Identify 3 active finance MCPs from the Glama network. Also, extract the context window sizes of Claude using the Gateway module."
Who is this for?
- Architectural DevOps Engineers — Actively retrieve and prototype dynamically executing API models isolating specific protocols avoiding dashboard UI noise entirely.
- Core Financial Analysts — Locate specific enterprise integrations fetching
list_mcp_serversmapping variables simulating external endpoints systematically. - Asymmetric Operations Managers — Extrapolate metric attributes retrieving hosted proxies mapping logic cleanly limiting execution friction.
Built-in capabilities (8)
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
Audit the complete list of AI models supported natively by the Glama OpenAI-compatible gateway
Cannot access public instances natively from here. Fetch all Private Hosted MCP instances assigned to your specific Glama account
List filtering attributes and semantic categorizations mapped within the Glama MCP Registry
Requires its namespace and slug. Extract detailed parameters and installation instructions for a specific Glama MCP server
Capable of loose text matching to discover new agentic capabilities. Search and list MCP servers directly from the global Glama directory
Bifurcate an isolated conversational prompt using a specific model through the Glama proxy network
Can be triggered after your AI uses a specific external server. Report semantic usage execution metrics back to the Glama Telemetry backend
Why Claude Code?
Claude Code registers Glama as an MCP server in a single terminal command. Once connected, Claude Code discovers all 8 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where Glama data drives decisions without human intervention.
- —
Single-command setup:
claude mcp addregisters the server instantly. no config files to edit or applications to restart - —
Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks
- —
Claude Code runs headlessly, enabling unattended batch processing using Glama tools in cron jobs or deployment scripts
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Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features
Glama in Claude Code
Why run Glama with Vinkius?
The Glama connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 8 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.




Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Glama using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Glama and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Glama to Claude Code through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Glama for Claude Code
Every request between Claude Code and Glama is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
Can I test alternative AI models entirely within the terminal using the Glama integration?
Yes. Tools like glama_get_gateway_models list available OpenAI-compatible proxies, and glama_run_gateway_chat allows your Vinkius agent to run text completions outside itself natively.
Does the Glama server provide telemetry data back to the registry?
Yes. Active MCP usage events can be logged seamlessly applying the glama_send_telemetry tool in specific sequences to inform publishers about proxy executions.
Are private hosted instances queryable?
Yes. By executing glama_get_hosted_instances, your agent limits queries exclusively to private proxies explicitly belonging to your linked environment.
How do I add an MCP server to Claude Code?
Run claude mcp add <name> --transport http "<url>" in your terminal. Claude Code registers the server and discovers all tools immediately.
Can Claude Code run MCP tools in headless mode?
Yes. Claude Code supports non-interactive execution, making it ideal for scripts, cron jobs, and CI/CD pipelines that need MCP tool access.
How do I list all connected MCP servers?
Run claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.
Command not found: claude
Ensure Claude Code is installed globally: npm install -g @anthropic-ai/claude-code
Connection timeout
Check your internet connection and verify the Edge URL is reachable
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