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Glama

MCP server directory and gateway

freeupdated Apr 22, 2026

AI gateway and model management platform that provides a unified API for accessing multiple LLM providers (OpenAI, Anthropic, Google, Mistral, and more) through a single endpoint. Features model routing, cost tracking, usage analytics, rate limiting, and API key management across providers. Simplifies multi-provider AI integration by handling authentication, billing, and failover in one place. Useful for teams evaluating multiple models or building provider-agnostic AI applications.

Glama is an all-in-one AI workspace, API gateway, and MCP hosting platform that provides unified access to over 100 AI models from multiple providers through a single interface with enterprise-grade security and compliance. It solves the challenge of managing multiple AI model subscriptions and MCP server deployments by consolidating everything into one platform where developers and teams can access models from OpenAI, Anthropic, Google, and others, compare responses side-by-side, and integrate MCP tools for extended capabilities. Glama combines the functionality of an AI chat interface, API gateway, and tool hosting platform into a comprehensive workspace for AI-powered workflows.

Glama provides an OpenAI-compatible API gateway with global load balancing and automatic failover across 100+ AI models, document processing for PDFs, Word files, and other formats with exact page references, and visualization capabilities using Mermaid diagrams and KaTex mathematical notation. The MCP hosting platform maintains a comprehensive, daily-updated registry of Model Context Protocol servers with deployment infrastructure for running MCP tools in production. Glama offers AES-256 encryption and SOC 2 compliance for enterprise security requirements, with team management features for collaborative AI workspaces.

Glama targets AI developers, enterprise teams, and organizations that need a unified platform for accessing multiple AI models, hosting MCP servers, and building AI-powered workflows with production-grade security and reliability. It integrates with the broader MCP ecosystem for tool discovery and deployment, while the API gateway provides a single endpoint for routing requests across dozens of model providers. Glama is particularly valuable for teams that need to evaluate and compare different AI models, manage MCP tool infrastructure, and enforce security policies across their AI operations from a single, centralized platform.

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Comparisons

MCP Registry vs Glama: Official publishing authority or richer MCP discovery marketplace?

MCP Registry and Glama overlap at the point where developers look for MCP servers, but they serve different jobs. The official MCP Registry is the vendor-neutral publication and synchronization layer: it assigns canonical server names, verifies namespace ownership, validates package metadata, and exposes a stable API for downstream registries. Glama consumes that ecosystem data and adds human search, tool-level schemas, quality and health signals, sandbox analysis, deployment, gateway, logs, and access controls. Publishers should use the official Registry to establish identity and release metadata. Teams choosing, testing, and operating servers will usually get more practical value from Glama, so Glama is the overall winner for this buyer-focused comparison.

Composio vs Glama: Managed Agent Actions or MCP Registry Intelligence?

Composio and Glama both simplify MCP adoption, but they solve different layers of the stack. Composio gives agents managed, per-user access to more than 1,000 app toolkits through sessions, seven discovery-and-execution meta-tools, and hosted authentication; Glama emphasizes a large continuously analyzed registry, tool-level search, inspection, gateway controls, and server hosting. Composio is the winner for teams whose primary goal is reliable cross-app action rather than ecosystem discovery.

Smithery vs Glama — Hosted MCP Runtime vs Registry Intelligence

Smithery and Glama both help developers discover MCP servers, but they solve different parts of the problem. Smithery is strongest when you want a packaged install path, hosted runtime options, and a practical way to connect agents to tools. Glama is stronger as a broad catalog and inspection surface for finding what exists. This comparison separates discovery, installation, security review, and production workflow fit so teams can choose the right MCP registry layer.

FAQ

What is Glama?

AI gateway and model management platform that provides a unified API for accessing multiple LLM providers (OpenAI, Anthropic, Google, Mistral, and more) through a single endpoint. Features model routing, cost tracking, usage analytics, rate limiting, and API key management across providers. Simplifies multi-provider AI integration by handling authentication, billing, and failover in one place. Useful for teams evaluating multiple models or building provider-agnostic AI applications.

Is Glama free?

Yes — Glama is free to use. Free

What are the best Glama alternatives?

The top editor-verified Glama alternatives are Smithery, MCP Servers Directory, mcp.run.