5 Best Glama Alternatives in 2026: MCP Directories Compared

Glama is an all-in-one AI workspace from Glama LLC, a Wyoming-based company, positioned as a ChatGPT for teams. It combines a ChatGPT-like chat experience for talking with AI, native MCP support with access to 5,000+ servers, and the ability to create specialized agents with custom prompts. The company says it is trusted by 50,000+ businesses. Glama also operates public registries of MCP servers and MCP connectors that users can submit to. Under the hood, the service leverages APIs from OpenAI, Anthropic, and Google alongside self-hosted models. Its Terms of Service describe a credit-based subscription structure in which paid subscribers receive Monthly Credits equal to their subscription cost and can add a topped-up balance, though no public plan prices are listed. All customer data is stored on servers located exclusively in the United States, hosted on Fly.io, which maintains SOC 2 Type II certification, with encryption in transit and at rest and regular security audits.

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• + Live, mature product trusted by 50,000+ businesses, so teams can adopt it today.
• + Native MCP support with access to 5,000+ servers — one of the largest MCP ecosystems available.
• + Combines chat, custom agents, and MCP in a single workspace, reducing tool sprawl.
• + Operates public MCP Server and MCP Connector registries that accept community submissions.
• + Serious security posture per its Terms of Service: US-only data storage, SOC 2 Type II-certified hosting on Fly.io, encryption in transit and at rest, and regular security audits and penetration testing.

• − No public pricing plans are listed on its site or on third-party pricing trackers, making budgeting harder for small businesses.
• − It is a closed, all-in-one workspace — teams must move their AI work into Glama rather than equipping the agents they already use.
• − Its registries list MCP servers and connectors, but no published security-scan or benchmark methodology is described for evaluating quality.
• − Some features are explicitly experimental and may be modified, suspended, or discontinued at Glama's discretion.
• − Content moderation is automated with staff review of flagged content, and violations can result in immediate termination without refund.

https://glama.ai

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. It exists because agent skills — SKILL.md instruction packages for Claude Code, Codex, Cursor, Gemini CLI, and chat-app agents — are everywhere, but published research found roughly 26% of skills carry at least one vulnerability. SkillzBench's pipeline covers 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 and the agent only sees what was chosen), and Stay current (tracking upstream changes, re-scanning, re-benchmarking, and notifying). A 0-100 trust score is built from 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 in and around blog articles. SkillzBench is currently pre-launch: the waitlist and newsletter are live, and the product itself is actively being built.

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• + Everything is free — the directory, the MCP connector, benchmarks, and alerts — which removes budget risk entirely for small businesses.
• + Security-first design: version pinning to commit SHAs, license checks, and security scans directly address the published finding that ~26% of skills carry at least one vulnerability.
• + Evidence-based quality signals: sandboxed benchmarking with the same model, with and without the skill, publishes a concrete Lift figure rather than just a rating.
• + Agent-agnostic: works with Claude Code, Codex, Cursor, Gemini CLI, and chat-app agents, so you don't have to switch tools.
• + Per-agent loadouts mean each agent only sees the skills and tools you chose for it — a real control surface for small teams.
• + Independence is structural: advertising revenue never influences scores or listings, and Lift is always shown separately from ratings.

• − Pre-launch: only the waitlist/newsletter is live, so the product cannot be adopted in production today.
• − No live user counts, skill counts, or published benchmark results yet — the pipeline is what SkillzBench is building and will offer.
• − It is a directory and connector, not a chat workspace — teams still need their own agent or chat tool to actually run skills.
• − As a new platform, it lacks the track record and business footprint Glama reports (50,000+ businesses).

https://skillzbench.com