Glama MCP Server
Connect your AI agent to the Glama directory. Discover MCP servers dynamically, analyze attributes, and proxy external intelligence networks through a unified gateway natively.
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What is the Glama MCP Server?
The Glama MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Glama via 8 tools. Connect your AI agent to the Glama directory. Discover MCP servers dynamically, analyze attributes, and proxy external intelligence networks through a unified gateway natively. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (8)
Tools for your AI Agents to operate Glama
Ask your AI agent "Find all MCP servers relating to CRM logic inside the registry, then let me know their basic descriptions." and get the answer without opening a single dashboard. With 8 tools connected to real Glama data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client


















Glama MCP Server capabilities
8 toolsg. "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
What the Glama MCP Server unlocks
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
1. Mount the Glama logic layer inside your Vinkius limits.
2. In your Glama settings UI, emit a comprehensive API token. Map it perfectly inside your operating structure cleanly referencing the variable GLAMA_API_KEY.
3. 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.
Frequently asked questions about the Glama MCP Server
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.
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Give your AI agents the power of Glama MCP Server
Production-grade Glama MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.






