Discover, test, and deploy verified MCP servers and connectors
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Tracked since2026
0 reviews trackedThe Bottom Line
Entry price
Free plan available, paid tiers above
Biggest pro
Simplifies discovery and integration of a vast array of MCP servers and connectors.
Biggest con
Requires understanding of the Model Context Protocol (MCP) for full utilization.
TL;DR - Glama
- Centralized registry for over 30,000 MCP servers and 4,000+ connectors.
- Provides an in-browser sandbox for testing MCP servers without installation.
- Offers an AI Gateway for unified access to leading AI models and custom agent development.
Pricing: Free plan available
Best for: Growing teams
What is Glama?
Glama provides a superset of the official Model Context Protocol (MCP) Registry, offering a centralized platform for discovering, testing, and deploying MCP servers and connectors. It indexes a vast number of community-built open-source MCP servers and hosted MCP connectors, all maintainer-verified, continuously rebuilt, and scored for quality and safety. Developers can browse servers, test them directly in a browser-based sandbox, install them locally, or deploy them with a single click.
This platform is designed for developers and businesses looking to integrate advanced AI capabilities and external tools into their applications and workflows. Glama simplifies the process of finding and utilizing MCP servers, which provide structured access to various data sources and functionalities for AI agents and other clients. It also offers an AI Gateway for accessing advanced AI models and features like custom agents, automations, and project-based memory, enhancing the utility of MCP servers.
Pros & Cons
Pros
- Simplifies discovery and integration of a vast array of MCP servers and connectors.
- Enables quick testing of MCP servers in a browser without local setup.
- Offers a unified API for accessing multiple advanced AI models.
- Provides dedicated hosting for open-source MCP servers, with free options for maintainers.
- Enhances AI agent capabilities with structured tools, web access, and persistent memory.
Cons
- Requires understanding of the Model Context Protocol (MCP) for full utilization.
- Hosting open-source MCP servers on Glama for non-maintainers incurs costs.
- Specific pricing for additional AI credits and server hosting can add up for heavy usage.
Preview
Key Features
Maintainer-verified MCP server registryContinuous server rebuilding and quality scoringIn-browser ephemeral sandbox for testing MCP serversOne-click deployment for open-source MCP serversGlama Gateway for hosted MCP connectors (auth, logs, access control)AI Gateway for unified access to leading AI modelsCustom AI agents and automationsProject-based memory and file uploads
Pricing Plans
Pricing checked Jul 2, 2026
Starter
$9 / month
- $9/month in AI credits
- Chat & API access
- No rate limits
- Custom agents
- Automations
- 3 fast hosted MCP servers
- $4 per additional server
- Unlimited MCP connectors
Pro
$26 / month
- $26/month in AI credits
- Everything in Starter
- File uploads (PDFs)
- Projects
- Memory
- Web fetch tool
- Web search tool
- 10 fast hosted MCP servers
Business
$80 / month
- $80/month in AI credits
- Everything in Pro
- Custom exports
- Priority customer support
- Request labeling
- 30 fast hosted MCP servers
- $2 per additional server
- 100k logs/month
How Glama's pricing compares
At $26/mo, Glama is mid-range of its 3 direct competitors ($1.58 to $500/mo across the set).
Entry paid plan, monthly. Pricing checked Jul 2, 2026.
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Glama FAQ
How does Glama facilitate the integration of AI capabilities into applications?
Glama simplifies the integration of AI capabilities by providing a centralized platform for discovering, testing, and deploying Model Context Protocol (MCP) servers and connectors. These servers offer structured access to various data sources and functionalities, which AI agents and other clients can utilize. It also includes an AI Gateway for accessing advanced AI models and features like custom agents and automations.
What kind of user benefits most from Glama?
Developers and businesses looking to integrate advanced AI capabilities and external tools into their applications and workflows benefit most from Glama. It simplifies the process of finding and utilizing MCP servers, which provide structured access to various data sources and functionalities for AI agents.
How does Glama compare to Composio MCP?
Glama provides a superset of the official Model Context Protocol (MCP) Registry, indexing a vast number of community-built open-source MCP servers and hosted MCP connectors. It offers a unified API for accessing multiple advanced AI models, whereas Composio MCP is another tool in the MCP ecosystem.
What are the main limitations of using Glama?
A primary limitation is that full utilization of Glama requires an understanding of the Model Context Protocol (MCP). Additionally, while there are free options for maintainers, hosting open-source MCP servers on Glama for non-maintainers incurs costs, and specific pricing for additional AI credits and server hosting can add up for heavy usage.
How is Glama priced?
Glama is available on a free tier, which offers basic access and features. For users requiring more extensive usage and additional features, paid plans are available to accommodate their needs.
Can developers test MCP servers before deployment with Glama?
Yes, developers can test MCP servers directly within a browser-based sandbox provided by Glama. This allows for quick testing without the need for local setup, enabling developers to evaluate servers before installing them locally or deploying them with a single click.
Does Glama support dedicated hosting for open-source MCP servers?
Glama offers dedicated hosting for open-source MCP servers, including free options for maintainers. This feature helps maintainers ensure their servers are continuously rebuilt and scored for quality and safety.
Source: glama.ai