The Best Glama Alternative for Agencies in 2026
Glama is an all-in-one AI workspace — a ChatGPT-like team chat with native MCP support, access to 5,000+ MCP servers, and custom agents, used by 50,000+ businesses. SkillzBench is a different kind of alternative: a free, independent directory of AI agent skills plus a free MCP connector that lets you verify, security-scan, and benchmark skills before wiring them into any agent. For agencies that want a ready-made team AI workspace, Glama fits; for agencies that want to safely evaluate and equip agent skills across Claude Code, Codex, Cursor, Gemini CLI and chat-app agents at no cost, SkillzBench is the stronger pick.
TL;DR
- Glama is an all-in-one AI workspace: a ChatGPT-like chat for teams, native MCP support with access to 5,000+ servers, and custom agents built with custom prompts.
- Glama reports being trusted by 50,000+ businesses and stores all customer data on US servers hosted on Fly.io, which holds SOC 2 Type II certification.
- A free version and a free trial of Glama are available, though no public pricing plan list appeared on third-party review trackers.
- SkillzBench is free across the board — the skills directory, the MCP connector, benchmarks and alerts — funded by blog advertising, never by charging users.
- Published research found roughly 26% of agent skills carry at least one vulnerability, which is the problem SkillzBench's Verify and Benchmark pillars target.
- SkillzBench pins every skill version to a commit SHA, runs security scans and license checks, and publishes a Lift score in percentage points from sandbox tests with and without the skill.
- SkillzBench is pre-launch: the waitlist and newsletter are live, but the directory, MCP tool and benchmark results are still being built.
Head to head
| Dimension | Glama | SkillzBench |
|---|---|---|
| Pricing | Free version and free trial available; no public plan list found on review trackers | Free — directory, MCP connector, benchmarks and alerts all free; ad-funded 🏆 |
| Ease of use | ChatGPT-like chat interface familiar to any team that has used consumer AI chat 🏆 | Toggle-based per-agent loadouts; simple mental model of choose-then-connect |
| Features | Team chat, native MCP with 5,000+ servers, custom agents with custom prompts, public MCP registries | Skills directory, security scanning, license checks, sandbox benchmarking with Lift, free MCP server, change tracking and alerts |
| Support | Live chat, email, community forum, knowledge base, social media and video tutorials 🏆 | Waitlist and newsletter live during pre-launch |
| Integrations | 5,000+ MCP servers; OpenAI, Anthropic and Google APIs plus self-hosted models 🏆 | Free MCP connector works with any agent; skills target Claude Code, Codex, Cursor, Gemini CLI and chat-app agents |
| Setup | Sign up with Google or email and start chatting; agents configured with custom prompts 🏆 | Toggle skills per agent and connect via the free MCP server |
| Security & trust | US-only data, SOC 2 Type II hosting via Fly.io, encryption, audits, penetration testing; registry entries not individually vetted | Security scans, license checks, commit-SHA pinning, sandbox benchmarks, 0–100 trust score; ~26% of skills carry a vulnerability 🏆 |
The contenders
Glama (Glama LLC, a Wyoming-based US company) positions itself as an all-in-one AI workspace — effectively a ChatGPT for teams. Its signup page describes a ChatGPT-like chat experience for talking with AI, native MCP support with access to 5,000+ MCP servers, and the ability to create specialized agents with custom prompts. The company claims to be trusted by 50,000+ businesses. Under the hood it leverages APIs from OpenAI, Anthropic and Google alongside its own self-hosted models. On the infrastructure side, 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 also cites encryption in transit and at rest, regular security audits and penetration testing. Glama operates public registries of MCP servers and MCP connectors that third parties can submit to. For agencies, the appeal is a single team workspace where staff chat with AI, wire up MCP tools from a large registry, and package recurring workflows as custom agents. The trade-off is that the registry is a directory — agencies adopting skills and servers from it still bear the burden of judging which entries are safe and effective.
pricing free trial
- + Broad MCP coverage — 5,000+ servers accessible natively from the workspace
- + Familiar ChatGPT-style interface lowers the training burden for non-technical staff
- + Custom agents with custom prompts let agencies productize repeatable client workflows
- + Strong stated security posture: US-only data, SOC 2 Type II hosting, encryption, audits and penetration testing
- + Claims adoption by 50,000+ businesses, indicating a mature, actively used product
- + Support channels include live chat, email, community forum, knowledge base and video tutorials
- − The MCP registry is a directory — no published per-server security scanning, sandbox benchmarking or trust scoring
- − No public plan list was found on third-party review trackers, making budget planning harder before signup
- − Monthly credits expire within the month of issuance per the terms of service, so unused value is lost
- − Some features are explicitly experimental and may be modified, suspended or discontinued at Glama's discretion
- − Agencies relying on third-party-submitted registry entries must vet quality and safety themselves
SkillzBench, built by AIQ Labs, is a 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 roughly 26% of them carry at least one vulnerability, and until now nobody could tell which ones actually help. SkillzBench is built on 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). A 0–100 trust score combines security, quality, license, maintenance and community signals; Lift is always shown separately from ratings, and money never touches scores. Everything on the platform is free — the directory, the MCP connector, benchmarks and alerts — with revenue coming from advertising around blog articles that never influences scores or listings. The product is pre-launch: the waitlist and newsletter are live while the directory, scanning, benchmarking and MCP tooling are being built.
pricing 0
- + Completely free — directory, MCP connector, benchmarks and alerts, with ad revenue instead of user fees
- + Directly addresses the ~26% of agent skills found to carry at least one vulnerability
- + Commit-SHA pinning means you know exactly which version of a skill your agent is running
- + Lift scores are measured in a controlled sandbox with the same model, with and without the skill, so improvement claims are testable
- + Per-agent loadouts give agencies least-privilege control over what each client-facing agent can access
- + Independent by design: Lift is shown separately from ratings and advertising never influences scores or listings
- − Pre-launch: the product is not yet public — only the waitlist and newsletter are live
- − No published benchmark results, live skill counts or user base yet, so real-world coverage is unproven
- − Focused on agent skills and MCP tooling rather than being a full team chat workspace
- − Agencies wanting an all-in-one chat-plus-agents product today will still need a separate workspace tool
Verdict
Winner: SkillzBench
Glama is the more complete product today — a full team AI workspace with 5,000+ MCP servers and 50,000+ business users — while SkillzBench is pre-launch but attacks the trust and safety problem Glama's registry does not: it benchmarks every skill, pins versions to commit SHAs, and shows a 0–100 trust score, all free. Agencies choosing a workspace should try Glama; agencies choosing how to adopt agent skills safely should watch SkillzBench.
| Option | Overall | Breakdown |
|---|---|---|
| Glama | 7.5 | : 6: 8: 8: 7: 8: 6 |
| SkillzBench | 7 | : 10: 7: 7: 5: 9: 9 |
Pricing compared
Security and trust: platform vs. skills
Who Glama is for, and why agencies switch to a skills-vetting layer
Which should you pick?
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FAQ
Is Glama a good Glama alternative? What does Glama actually do?
Glama is an all-in-one AI workspace: a ChatGPT-like chat experience for teams, native MCP support with access to 5,000+ MCP servers, and the ability to create specialized agents with custom prompts. It claims to be trusted by 50,000+ businesses, runs on OpenAI, Anthropic and Google APIs plus self-hosted models, and stores all customer data on US servers with SOC 2 Type II-certified hosting. It suits agencies that want a single team AI workspace rather than a skills-vetting layer.
How does SkillzBench differ from Glama?
They solve different problems. Glama is a workspace where teams chat with AI, connect MCP servers and build custom agents. SkillzBench is a free, independent directory of agent skills plus a free MCP connector, focused on trust: it pins every skill version to a commit SHA, runs security scans and license checks, benchmarks each skill in a sandbox to publish a Lift score in percentage points, and shows a 0–100 trust score. Glama secures the platform; SkillzBench secures the skills you attach to your agents.
How much does SkillzBench cost?
Everything on SkillzBench is free — the skills directory, the MCP connector, the benchmarks and the change-tracking alerts. The platform earns revenue from advertising shown in and around its blog articles, and that ad money never influences scores or listings. Lift is always shown separately from ratings, so commercial considerations do not touch the measurements agencies rely on.
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 directory, the MCP tool, the security scanning and the benchmark results are not yet publicly available. Agencies that need a working team AI workspace today should evaluate Glama now and join the SkillzBench waitlist to adopt the skills-vetting layer as it ships.
Why should agencies care about agent skill vulnerabilities?
Published research found that roughly 26% of agent skills carry at least one vulnerability. Skills are instruction packages that agents execute, so a vulnerable skill in a client-facing agent can expose client data or produce unreliable work. Vetting layers like SkillzBench address this with security scans, license checks, commit-SHA version pinning and sandbox benchmarking before a skill ever reaches your agents.
Does Glama have a free version or trial?
Yes. Third-party review trackers list both a free version and a free trial for Glama. Glama's terms describe a Monthly Credits system for paid subscribers, in which credit equal to the subscription cost is deposited monthly and must be used within the month of issuance, with topped-up balances available until consumed or expired. Confirm current plan details directly with Glama during the trial.