Glama

Glama MCP Connector for Claude

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Connect your AI agent to the Glama directory. Discover MCP servers dynamically, analyze attributes, and proxy external intelligence networks through a unified gateway natively.

8 tools Official Updated Jun 28, 2026 Official Vinkius Partner

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_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.

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_servers mapping variables simulating external endpoints systematically.
  • Asymmetric Operations Managers — Extrapolate metric attributes retrieving hosted proxies mapping logic cleanly limiting execution friction.
llm-gatewaymodel-registryapi-proxymcp-discoveryai-infrastructure

8 tools expose this connector's capabilities to your AI agent.

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_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_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_send_telemetry

Can be triggered after your AI uses a specific external server. Report semantic usage execution metrics back to the Glama Telemetry backend

See how to talk to your AI agent using Glama.

Find all MCP servers relating to CRM logic inside the registry, then let me know their basic descriptions.

Querying global scopes (`glama_list_mcp_servers`)... I found Salesforce-MCP and HubSpot-MCP. Their parameters indicate robust handling for dynamic B2B data contexts via local interfaces locally.

Are there smaller LLMs available on the Glama API gateway we can proxy text to quickly?

Retrieving standard OpenAI-compatible definitions (`glama_get_gateway_models`)... Several smaller proxies are available. Meta Llama 3 8B and Claude 3 Haiku both demonstrate operational speeds with low logical barriers ready for semantic requests.

Report a successful telemetry execution map event back to Glama for the GitHub repo tool.

Initiating logging sequences via `glama_send_telemetry`. Tool usage event for 'github_repo' logged with success status. Your action matrix is appropriately registered within the global metrics securely.

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.

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