Is Glama Worth It in 2026? Security, Licensing and Maintenance Compared
Glama is an all-in-one AI workspace — a ChatGPT-like chat experience with native MCP support, access to 5,000+ MCP servers, custom agents, and a subscription model where your monthly payment converts into credits you spend across OpenAI, Anthropic, and Google models plus self-hosted models. SkillzBench is a free, independent directory of AI agent skills with a free MCP connector, built to verify, license-check, security-scan, and benchmark individual skills before you connect them to your agents. If you want a hosted team AI workspace, Glama fits; if you want to safely evaluate and equip agent skills at no cost, SkillzBench is the purpose-built option.
TL;DR
- Glama is a ChatGPT-like AI workspace for teams with native MCP support and access to 5,000+ MCP servers.
- Glama's subscription works on monthly credits: your subscription cost is deposited as credits each month and spent on services within the platform.
- Glama runs on OpenAI, Anthropic, and Google APIs plus its own self-hosted models, and stores all customer data on US servers hosted on Fly.io (SOC 2 Type II certified).
- SkillzBench is free across the board — directory, MCP connector, benchmarks, and alerts — funded by blog advertising that never influences scores.
- Published research found roughly 26% of agent skills carry at least one vulnerability, which is the core problem SkillzBench's security scanning and license checks address.
- SkillzBench is pre-launch: the waitlist and newsletter are live, and the directory, MCP tool, and benchmarking are actively being built.
- The two overlap on MCP: Glama gives you a hosted workspace with MCP servers; SkillzBench tells you which skills are safe and effective before you connect them.
Head to head
| Dimension | Glama | SkillzBench |
|---|---|---|
| Pricing | Subscription with monthly credits; subscription cost deposits as spendable credits each month | Free across the board — directory, MCP connector, benchmarks, alerts; ad-funded 🏆 |
| Core purpose | All-in-one AI workspace: team chat, agents, MCP access | Independent trust layer for agent skills: discover, verify, benchmark, equip |
| Security | Encryption in transit and at rest, audits, penetration testing, SOC 2 Type II hosting on Fly.io, US-only data | Commit SHA pinning, license checks, security scans, sandbox benchmarking per skill |
| MCP capabilities | Native MCP support with access to 5,000+ servers plus a public MCP registry 🏆 | One free MCP server connecting agents to verified skills via per-agent loadouts |
| Maintenance burden | Fully hosted; no infrastructure to manage, but experimental features can change or disappear | Tracks upstream skill changes, re-scans, re-benchmarks, and notifies automatically |
| Transparency of quality | Experimental features disclosed in terms; no published per-skill quality metrics | 0-100 trust score plus Lift in percentage points, always shown separately from money 🏆 |
| Setup | Sign up with email or Google-style workspace; chat interface is immediately familiar | Toggle skills per agent in loadouts; designed for low-friction setup |
| Maturity | Live product claiming 50,000+ business users 🏆 | Pre-launch — waitlist and newsletter live, product actively being built |
The contenders
Glama is an all-in-one AI workspace built by Glama LLC, a Wyoming-based company, positioned as a 'ChatGPT for teams.' Its signup page describes a ChatGPT-like chat experience for talking with AI, native MCP support with access to more than 5,000 MCP servers, and the ability to create specialized agents with custom prompts. The platform claims to be trusted by 50,000+ businesses. Under the hood, Glama's terms of service state that it leverages APIs from OpenAI, Anthropic, and Google, as well as its own self-hosted models. Its paid subscription model works on monthly credits: the monetary value of your subscription is deposited into your account each month and can be spent on services within the platform, with topped-up balances available for overflow usage. On security, Glama encrypts data in transit and at rest, runs regular security audits and penetration testing, maintains access controls and secure backups, and hosts all customer data exclusively on US servers via Fly.io, which holds SOC 2 Type II certification. Glama also operates public registries of MCP servers and MCP connectors. Some features are labeled experimental and may be modified, suspended, or discontinued at the company's discretion.
pricing See pricing
- + Native MCP support with access to 5,000+ servers in one workspace
- + ChatGPT-like interface that non-technical team members can pick up quickly
- + Monthly credits model means your subscription value is fully spendable within the platform
- + Strong stated security posture: encryption at rest and in transit, audits, penetration testing, SOC 2 Type II hosting
- + All customer data stored exclusively on US servers
- + Custom agents with specialized prompts for team workflows
- − Experimental features may be modified, suspended, or discontinued at Glama's discretion
- − Credit-based usage means costs scale with how much you use the platform
- − Violations of content policies can result in termination without refund at Glama's sole discretion
- − Users bear responsibility for evaluating all content and bear all associated risks per the terms of service
SkillzBench is AIQ Labs' free, independent directory of AI agent skills plus a free MCP tool that connects any agent to the skills you choose. Agent skills — SKILL.md instruction packages for Claude Code, Codex, Cursor, Gemini CLI, and chat-app agents — have proliferated, but published research found that roughly 26% of them carry at least one vulnerability, and there has been no reliable way to tell which ones actually help. SkillzBench is built around five pillars: Discover (continuously crawling and deduplicating skills from GitHub), Verify (pinning every version to a commit SHA, validating, license-checking, security-scanning, and quality-judging), Benchmark (testing every skill in a sandbox with the same model, with and without the skill, and publishing the Lift in percentage points), Equip (one free MCP server plus per-agent loadouts where users toggle skills and tools per agent, so the agent only sees what was chosen), and Stay Current (tracking upstream changes, re-scanning, re-benchmarking, and notifying users). A 0-100 trust score combines security, quality, license, maintenance, and community signals, with Lift always shown separately; money never touches scores. Everything on the platform is free, funded by advertising in and around blog articles that never influences scores or listings. The product is pre-launch and actively being built, with the waitlist and newsletter live.
pricing 0/month
- + Completely free — no paid tiers for the directory, MCP connector, benchmarks, or alerts
- + Addresses a documented risk: ~26% of agent skills carry at least one vulnerability
- + Security-first verification with commit SHA pinning, license checks, and security scans
- + Lift benchmarking shows measurable impact, always separate from ratings and money
- + Per-agent loadouts give precise control over what each agent can see and use
- + Ongoing maintenance tracking with automatic re-scans and notifications
- − Pre-launch: the product is not yet public; the waitlist and newsletter are live
- − Focuses on agent skills rather than being a full AI chat workspace
- − Benchmark results and skill coverage are still being built out
Verdict
Winner: none
These two serve different jobs: Glama is a paid, hosted AI workspace for team chat and MCP access, while SkillzBench is a free platform for discovering, verifying, and benchmarking agent skills. Neither replaces the other, so the right choice depends on whether you need a workspace or a skills trust layer.
| Option | Overall | Breakdown |
|---|---|---|
| Glama | 7.2 | : 6: 8: 8: 7: 7: 6 |
| SkillzBench | 7.8 | : 10: 7: 8: 6: 9: 8 |
Security compared: platform security vs. skill-level trust
Licensing and trust: how each handles the fine print
Maintenance: who keeps things current
Which should you pick?
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FAQ
Is Glama worth it for small businesses in 2026?
Glama is worth evaluating if you want a hosted, team-ready AI workspace: it offers a ChatGPT-like chat experience, native MCP support with access to 5,000+ servers, custom agents with specialized prompts, and models from OpenAI, Anthropic, and Google plus self-hosted options. Its subscription converts your payment into monthly credits you spend across the platform. Its security posture is solid on paper — encryption at rest and in transit, SOC 2 Type II hosting via Fly.io, and US-only data storage — but note that experimental features can be modified or discontinued at the company's discretion, so avoid building critical workflows on features labeled experimental.
How does Glama's pricing work?
Glama uses a credit-based subscription model. Per its terms of service, paid subscribers receive Monthly Credits equal to their subscription cost, deposited each month and usable to pay for services within the Glama platform during the month of issuance. Users can also add a Topped-up Balance beyond their Monthly Credits for additional usage. In practice, this means your bill scales with how much you use the platform's AI services, since credits are consumed as you work.
Is Glama secure enough for business data?
Glama's terms describe encryption of data in transit and at rest, regular security audits and penetration testing, access controls and authentication mechanisms, secure backups, and employee training on data protection. All customer data is stored on servers located exclusively within the United States, hosted on Fly.io, which maintains SOC 2 Type II certification. Glama notes that no method of transmission or electronic storage is 100% secure, and its terms state that users bear all risks associated with their use of any content — so standard caution with sensitive business data still applies.
What problem does SkillzBench solve that Glama doesn't?
Glama gives you access to MCP servers and an AI workspace, but it does not tell you whether an individual agent skill is safe, properly licensed, or actually effective. Published research found that roughly 26% of agent skills carry at least one vulnerability. SkillzBench fills that gap: it crawls and dedupes skills from GitHub, pins every version to a commit SHA, license-checks and security-scans each one, benchmarks skills in a sandbox to publish Lift in percentage points, and tracks upstream changes with re-scans and alerts — all free.
How much does SkillzBench cost?
SkillzBench is free. The directory, the MCP connector, benchmarks, and change alerts all cost nothing to use. The platform is funded by advertising shown in and around its blog articles, and that ad revenue never influences scores or listings — the 0-100 trust score is built from security, quality, license, maintenance, and community signals, and Lift is always shown separately from ratings and money.
Is SkillzBench available to use right now?
SkillzBench is pre-launch and actively being built. The waitlist and newsletter are live, so you can sign up to be notified, but the directory, MCP tool, and benchmarking features are what the team is building and will offer rather than what is publicly available today. If you need a solution immediately, Glama is live today, while SkillzBench is worth joining the waitlist for if skill vetting is your priority.
Can I use Glama and SkillzBench together?
Yes — they solve different problems and complement each other. Glama provides the workspace: team chat, custom agents, and native MCP access to 5,000+ servers. SkillzBench provides the trust layer: verified, license-checked, security-scanned, and benchmarked agent skills with per-agent loadouts and a free MCP connector. A practical pattern is to vet skills on SkillzBench first, then connect only the ones that pass its security and license checks to your agents, whether those agents run inside Glama or another environment.