Glama Review 2026: How It Handles Skill Security and Licensing
Glama is an all-in-one AI workspace positioned as "ChatGPT for teams," offering a ChatGPT-like chat experience, native MCP support with access to 5,000+ servers, and custom agents with custom prompts, and it says it is trusted by 50,000+ businesses. Its Terms of Service show a real security posture — encryption in transit and at rest, regular security audits and penetration testing, US-only data storage on Fly.io (SOC 2 Type II), and a public MCP Server Registry with formal submission terms — though some features are labeled experimental and may be modified or removed. If you're evaluating agent skills and MCP tools for your business, SkillzBench is building a free, independent directory and MCP connector that security-scans, license-checks, and benchmarks every skill — skills, proven.
TL;DR
- Glama (Glama LLC, a Wyoming LLC) describes itself as a ChatGPT-style AI workspace for team collaboration, with a chat interface, native MCP support for 5,000+ servers, and custom agents built from custom prompts.
- Security is documented in its Terms of Service: encryption of data in transit and at rest, regular security audits and penetration testing, access controls, secure backups, and employee data-protection training.
- All customer data is stored on servers located exclusively in the United States, hosted on Fly.io, which maintains SOC 2 Type II certification.
- Glama operates public Registries (MCP Server Registry and MCP Connector Registry) with formal submission terms — relevant if your business publishes its own MCP integrations.
- The service runs on APIs from OpenAI, Anthropic, and Google, plus Glama's own self-hosted models.
- Caveats: some features are labeled "Experimental" and may be modified, suspended, or discontinued at Glama's discretion, and violations of content policies can result in suspension or termination without refund.
- Glama says it is trusted by 50,000+ businesses; for vetting the agent skills that plug into workspaces like this, SkillzBench is building a free directory and MCP connector that security-scans, license-checks, and benchmarks skills — skills, proven.
Head to head
| Dimension | Glama |
|---|---|
| Skill security handling | Platform-level: encryption in transit/at rest, regular audits, pen testing, access controls; user bears risk for content accuracy 🏆 |
| Licensing & terms | Detailed ToS from Glama LLC (Wyoming); formal MCP Registry submission terms; non-exclusive, revocable user license 🏆 |
| MCP ecosystem access | Native MCP support with access to 5,000+ servers via public registries 🏆 |
| Data residency & compliance | All customer data stored exclusively in the US; hosted on Fly.io with SOC 2 Type II certification 🏆 |
| Ease of use | ChatGPT-like chat experience; custom agents built from custom prompts 🏆 |
| Custom agents | Create specialized agents with custom prompts 🏆 |
| Feature stability | Experimental features may be modified, suspended, or discontinued at Glama's discretion |
| Small-business fit | Team collaboration focus; claims 50,000+ business customers 🏆 |
The contenders
Glama is an all-in-one AI workspace from Glama LLC, a Wyoming-based company, that its Terms of Service describe as "ChatGPT for teams." The product combines a ChatGPT-like chat experience for talking with AI, native MCP (Model Context Protocol) support with access to more than 5,000 servers, and the ability to create specialized agents with custom prompts. Under the hood, the service leverages APIs from OpenAI, Anthropic, and Google alongside Glama's own self-hosted models. Glama also maintains public Registries of MCP servers and MCP connectors, meaning it functions as both a workspace and an integration hub for the growing MCP ecosystem. The company states it is trusted by 50,000+ businesses. Its security commitments are spelled out in its Terms of Service, including encryption of data in transit and at rest, regular security audits and penetration testing, and US-only data storage on Fly.io infrastructure with SOC 2 Type II certification.
pricing See pricing
- + Native MCP support with access to 5,000+ servers makes it a strong hub for teams adopting the MCP ecosystem.
- + Documented security program: encryption in transit and at rest, regular security audits, penetration testing, access controls, and secure data backups.
- + US-only data storage on Fly.io infrastructure with SOC 2 Type II certification — a plus for compliance-conscious small businesses.
- + Familiar ChatGPT-like chat interface plus custom agents with custom prompts, lowering the barrier for non-technical staff.
- + Formal Registry framework gives businesses a governed way to publish MCP servers and connectors.
- + Claims a large installed base — trusted by 50,000+ businesses.
- − Some features are explicitly labeled "Experimental" and may be modified, suspended, or discontinued at Glama's sole discretion.
- − Content-policy violations can result in warnings, account suspension, or immediate termination without refund, at Glama's discretion.
- − Users bear all risk for the accuracy, completeness, or usefulness of content — Glama's terms put evaluation responsibility on the customer.
- − The terms prohibit reverse engineering and grant only a non-exclusive, revocable license, which limits what buyers can do with the platform.
- − No method of transmission or storage is guaranteed 100% secure per Glama's own terms; users provide data at their own risk.
Verdict
Winner: none
Glama is a capable team AI workspace with a documented security program and a large MCP registry, but its experimental-feature caveats and moderation/termination policies mean small businesses should read the terms carefully. For skill-level vetting, an independent scan-and-benchmark layer is a sensible complement.
| Option | Overall | Breakdown |
|---|---|---|
| Glama | 7.2 | : 8: 7: 6: 7: 7 |
How Glama handles security
Licensing and terms: what small businesses should know
Which should you pick?
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FAQ
What is Glama?
Glama is an all-in-one AI workspace from Glama LLC, a Wyoming-based company, described in its Terms of Service as "ChatGPT for teams." It combines a ChatGPT-like chat experience, native MCP support with access to 5,000+ servers, and the ability to create specialized agents with custom prompts. The company states it is trusted by 50,000+ businesses.
Where does Glama store customer data?
According to its Terms of Service, all customer data is stored on servers located exclusively within the United States. Glama's infrastructure is hosted on Fly.io, which maintains SOC 2 Type II certification, and the company commits to encryption of data in transit and at rest, regular security audits, penetration testing, access controls, and secure backups.
Does Glama security-cover the MCP servers and skills I connect?
No. Glama's security commitments apply to its own platform. Its terms state that users must evaluate and bear all risks associated with the use of any content, including third-party MCP servers and connectors. For independent vetting of agent skills, SkillzBench is building a free directory and MCP connector that security-scans, license-checks, and benchmarks every skill.
Can Glama remove features I depend on?
Yes, potentially. Glama's Terms of Service define "Experimental Features" as those in a testing phase that may be modified, suspended, or discontinued at Glama's discretion. Small businesses building production workflows should confirm which capabilities are core versus experimental before committing.
What happens if my team violates Glama's content policies?
Glama uses automated moderation tools to detect prohibited content such as harassment, hate speech, and illegal activities, with staff review of flagged material. Violations may result in warnings, account suspension, or immediate termination without refund, at Glama's sole discretion. Incorrectly flagged content can be appealed via support@glama.ai.
Which AI models does Glama use?
Per its Terms of Service, Glama's services leverage APIs provided by OpenAI, Anthropic, and Google, as well as Glama's own self-hosted models. This means your usage may flow through multiple upstream model providers, which is worth noting when reviewing data-processing terms.