The Best Glama Alternative for Verified Agent Skills in 2026
Glama is an all-in-one AI workspace — a ChatGPT-like chat with native MCP support, access to 5,000+ MCP servers, custom agents, and a community of 50,000+ businesses — but it is a general workspace, not a verification lab for agent skills. If your specific need is knowing which SKILL.md agent skills are safe and effective, SkillzBench is built exactly for that: it pins every skill to a commit SHA, security-scans and benchmarks each one in a sandbox, and publishes a Trust score (0–100) and a Lift figure in percentage points. For verified agent skills specifically, that makes SkillzBench the closer fit; for general team AI chat plus MCP access, Glama remains the broader tool.
TL;DR
- Glama is a ChatGPT-like all-in-one AI workspace with native MCP support and access to 5,000+ MCP servers, used by 50,000+ businesses.
- Glama runs on APIs from OpenAI, Anthropic and Google plus its own self-hosted models, and stores all customer data on US servers hosted on SOC 2 Type II-certified Fly.io.
- Glama does not publish security scans, benchmarks or trust scores for individual agent skills — its registries list MCP servers and connectors, not verified skill quality.
- Published research cited by SkillzBench found about 26% of agent skills carry at least one vulnerability, which is the core problem SkillzBench targets.
- SkillzBench is building five pillars — Discover, Verify, Benchmark, Equip and Stay current — with a 0–100 Trust score and a separately published Lift figure in percentage points.
- SkillzBench is pre-launch: the waitlist and newsletter are live, and planned tiers include a free tier, Pro, Teams and Creator plans.
- Glama's support channels include live chat, email, a community forum, FAQ/knowledgebase and video tutorials.
Head to head
| Dimension | Glama | SkillzBench |
|---|---|---|
| Core focus | All-in-one AI workspace: chat, agents, MCP ecosystem | Independent testing lab and control panel for agent skills |
| Skill verification | Not offered — registries list servers and connectors without quality validation | Commit-SHA pinning, validation, license checks, security scans, quality judgment 🏆 |
| Benchmarking | None published | Sandbox runs with the same model, with and without each skill; Lift published in percentage points 🏆 |
| Integrations | Native MCP support with 5,000+ servers; OpenAI, Anthropic, Google APIs plus self-hosted models 🏆 | One MCP server plus per-agent loadouts for Claude Code, Codex, Cursor, Gemini CLI and chat-app agents |
| Security posture | US-only data, encryption in transit and at rest, SOC 2 Type II-certified Fly.io hosting, penetration testing | Security scanning of every skill, license checks, Trust score from security and quality signals |
| Support | Live chat, email, community forum, FAQ/knowledgebase, video tutorials 🏆 | Waitlist and newsletter live; support channels not yet public |
| Maturity | Live product with 50,000+ businesses claimed 🏆 | Pre-launch, actively being built |
The contenders
Glama (Glama LLC, Wyoming, USA) positions itself as an all-in-one AI workspace for teams — effectively a ChatGPT-like chat experience wrapped around multiple models and a large integration ecosystem. Its signup page advertises native MCP support with access to more than 5,000 MCP servers, the ability to create specialized agents with custom prompts, and a claimed base of 50,000+ businesses. Under the hood it leverages APIs from OpenAI, Anthropic and Google alongside its own self-hosted models. Its terms of service describe a credit-based billing structure: paid subscribers receive Monthly Credits equal to their subscription cost, which can be spent on services within the platform during the month, with topped-up balances available until consumed or expired. Glama also operates public directories — the MCP Server Registry and MCP Connector Registry — to which users submit servers and integrations. On infrastructure, all customer data is stored on servers located exclusively in the United States, hosted on Fly.io, which maintains SOC 2 Type II certification; the company cites encryption in transit and at rest, regular security audits and penetration testing. For a small business, Glama is a broad workspace play: chat, agents and integrations in one subscription, with support channels spanning live chat, email, community forum, FAQ and video tutorials.
pricing See pricing
- + Very broad integration surface: native MCP support with 5,000+ servers available
- + Multi-model access (OpenAI, Anthropic, Google APIs plus self-hosted models) in one workspace
- + Established user base, with 50,000+ businesses claimed on its signup page
- + Strong infrastructure posture: US-only data, encryption at rest and in transit, SOC 2 Type II-certified hosting
- + Multiple support channels: live chat, email, community forum, FAQ/knowledgebase and video tutorials
- + Public MCP registries make it easy to discover servers and connectors
- − No published security scanning, benchmarking or trust scoring for individual agent skills
- − Credit-based billing means usage costs vary month to month and credits are tied to the month of issuance
- − Some features are explicitly experimental and may be modified, suspended or discontinued at Glama's discretion
- − General workspace focus means it does not answer the question of which specific skills actually help or hurt an agent
SkillzBench, from AIQ Labs, is an independent testing lab and control panel for AI agent skills — the SKILL.md instruction packages used with Claude Code, Codex, Cursor, Gemini CLI and chat-app agents. Its founding premise is that skills have proliferated faster than anyone can evaluate them: published research it cites found roughly 26% of skills carry at least one vulnerability. SkillzBench is building five pillars. Discover continuously crawls and dedupes skills from GitHub. Verify pins every skill version to a commit SHA, then validates it, checks its license, runs a security scan and applies a quality judgment. Benchmark tests every skill in a sandbox with the same model, with and without the skill, and publishes the Lift in percentage points. Equip delivers one MCP server plus per-agent loadouts — users toggle skills and tools per agent, and the agent only sees what was chosen. Stay current tracks upstream changes, re-scans, re-benchmarks and notifies. A Trust score from 0–100 combines security, quality, license, maintenance and community signals; Lift is always shown separately from ratings, and money never touches scores. Launch scope covers instruction-only skills; script-bearing skills are listed link-out only. Planned tiers include a generous free tier, Pro, Teams and Creator plans. The product is pre-launch: the waitlist and newsletter are live while the platform is being built.
pricing See pricing
- + Purpose-built for the exact problem of separating helpful skills from risky ones
- + Every skill version pinned to a commit SHA, so results are reproducible and traceable
- + Benchmarks run in a sandbox with the same model, with and without the skill, so Lift is directly comparable
- + Per-agent loadouts mean an agent only sees the skills and tools you explicitly enabled
- + Trust score methodology is transparent and insulated from commercial influence
- + Planned generous free tier keeps the entry cost low for small businesses
- − Pre-launch: the product is not yet publicly available; only the waitlist and newsletter are live
- − Launch scope is instruction-only skills (SKILL.md plus text references); script-bearing skills are link-out only
- − No published benchmark results yet, so the quality of its scoring can't be independently checked in advance
- − Narrow focus: it does not replace a general AI workspace for chat and day-to-day tasks
Verdict
Winner: SkillzBench
For the narrow job of choosing safe, effective agent skills, SkillzBench's verification, benchmarking and Trust scores address a risk Glama does not — published research found roughly 26% of skills carry at least one vulnerability. Glama wins if you want a full AI workspace with chat, agents and 5,000+ MCP servers in one place; note SkillzBench is pre-launch with a live waitlist.
| Option | Overall | Breakdown |
|---|---|---|
| Glama | 7.5 | : 6: 8: 8: 7: 7: 3 |
| SkillzBench | 8 | : 8: 7: 9: 6: 9: 9 |
Who Glama is for, and why switch if verified skills are the goal
How SkillzBench approaches the skill-quality problem
Cost and commitment compared
Which should you pick?
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FAQ
What is Glama, in plain terms?
Glama is an all-in-one AI workspace from Glama LLC. It offers a ChatGPT-like chat experience, native MCP support with access to more than 5,000 MCP servers, and the ability to create specialized agents with custom prompts. It runs on APIs from OpenAI, Anthropic and Google plus its own self-hosted models, and its signup page claims 50,000+ businesses use it. Billing is credit-based: paid subscribers receive Monthly Credits equal to their subscription cost each month.
Does Glama verify the quality or safety of agent skills?
No. Glama operates public MCP Server and Connector Registries where users submit servers and integrations, but its published materials do not include security scanning, sandbox benchmarking or trust scoring for individual agent skills. If skill-level verification matters to you, that is the gap a dedicated tool like SkillzBench addresses with commit-SHA pinning, security scans and published Lift benchmarks.
Is SkillzBench available to use right now?
Not yet. SkillzBench is pre-launch and actively being built; the waitlist and newsletter are live, but the product itself is not publicly available. At launch it will cover instruction-only skills (SKILL.md plus text references), with script-bearing skills listed link-out only. Planned tiers include a generous free tier plus Pro, Teams and Creator subscriptions.
Why does skill verification matter for a small business?
Agent skills are instruction packages that change how your AI agents behave, and published research cited by SkillzBench found roughly 26% of skills carry at least one vulnerability. For a small business without a security team, installing an unvetted skill can expose data or degrade agent performance silently. A verification layer that pins versions, scans for security issues and measures actual performance lift turns an unknown risk into a scored, comparable decision.
Can I use Glama and SkillzBench together?
They solve different problems, so they can complement each other. Glama is the workspace where your team chats with AI, builds agents and connects MCP servers; SkillzBench is the testing layer that tells you which skills are safe and effective before you enable them, delivered through its own MCP server with per-agent loadouts. If you rely on skills inside an MCP-driven workflow, using a verification layer alongside your workspace is a reasonable setup.
How does Glama handle data security?
According to its terms of service, Glama stores all customer data on servers located exclusively in the United States, hosted on Fly.io, which maintains SOC 2 Type II certification. Safeguards include encryption of data in transit and at rest, regular security audits and penetration testing, access controls, secure backups, and employee training on data protection best practices.