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Glama

Updated Jul 25, 2026
Glama page

The largest MCP server registry with 60K+ servers and 9K+ connectors. Browse, test in browser, and host with the Glama Gateway. Trusted by 50K+ developers.

Categories:
#mcp#ai#registry#gateway#debugging

Editor's Verdict

Rating: 4.7/5.0Reviewed by RAGWiki
At $9/month, Glama stands out as a powerful solution in the developer tools landscape. It is especially well-suited for professionals like Software Developer and AI/ML Engineer. However, potential buyers should note that it might not be perfect if you are strictly trying to avoid paid plans for hosting. Overall, it offers a robust toolset that significantly accelerates workflows.

Key Takeaways

  • Comprehensive MCP Registry
  • In-Browser Testing
  • One-Click Deployment
  • Glama MCP Gateway

In-Depth Review: What is Glama?

"

Glama is a comprehensive registry and gateway for MCP (Model Context Protocol) servers, offering 61,000+ open-source servers and 9,800+ hosted connectors. Developers can browse, test servers in a browser sandbox, and deploy via the Glama Gateway for managed authentication, logging, and access control. It also features an inspector, tool search, and AI playground, making it a one-stop workspace for AI tooling.

Core Features

Comprehensive MCP Registry

Access 61,026+ MCP servers, 9,821 connectors, and 412,944 tools, all indexed and scored for quality and safety.

In-Browser Testing

Test any MCP server instantly in an ephemeral sandbox without any local installation.

One-Click Deployment

Deploy open-source MCP servers on Glama's infrastructure with a single click, skipping Docker and TLS setup.

Glama MCP Gateway

A reverse proxy for all your MCP servers and connectors with full logging, per-tool access control, and managed OAuth credentials.

Hosted Connectors

Free access to remote MCP services like Linear, Stripe, and PostHog, routable through the Glama Gateway for enhanced security.

MCP Inspector

Debug MCP servers directly in the browser with real JSON-RPC calls, shareable session URLs, and support for OAuth flows.

Pricing

Starter

$9/month
  • $9/month in AI credits
  • Chat & API access
  • No rate limits
  • Custom agents
  • Automations
  • 3 fast hosted MCP servers
  • $4 per additional server
  • Unlimited MCP connectors
  • 100k logs/month
  • $9 for additional 100k logs
  • 30 days retention
Most Popular

Pro

$26/month
  • $26/month in AI credits
  • Everything in Starter
  • File uploads (PDFs)
  • Projects
  • Memory
  • Web fetch tool
  • Web search tool
  • 10 fast hosted MCP servers
  • $3 per additional server
  • Persistent storage
  • 100k logs/month
  • $6 for additional 100k logs
  • 90 days retention

Business

$80/month
  • $80/month in AI credits
  • Everything in Pro
  • Custom exports
  • Priority customer support
  • Request labeling
  • 30 fast hosted MCP servers
  • $2 per additional server
  • 100k logs/month
  • $3 for additional 100k logs
  • 180 days retention

Open-Source Free

Free
  • Deploy and run open-source MCP servers on Glama for free
  • Includes hosting and infrastructure

Pros and Cons

Pros

  • Massive EcosystemOver 61,000 MCP servers and 9,800 connectors indexed, making it easy to find and use the right tool.
  • No-Install TestingTest any MCP server in a browser sandbox before deploying, saving setup time.
  • Open-Source FriendlyOpen-source MCP servers can be hosted for free on Glama, lowering barriers for developers.
  • Enterprise-Grade GatewayThe Glama Gateway provides logging, access control, and managed OAuth for secure and auditable MCP usage.
  • Cross-Client CompatibilityServers work with Claude, ChatGPT, Cursor, VS Code, and more from a single deployment.

Cons

  • Paid Plans for HostingHosting non-open-source servers requires a paid plan, with limited server slots on lower tiers.
  • Log Retention LimitsFree tier only retains logs for 30 days; additional logs cost extra.
  • AI Credits ModelPlans include AI credits for model usage, which may be insufficient for heavy users without upgrading.
  • Dependency on Glama InfrastructureUsing Glama's hosting means reliance on their platform uptime and policies.
  • Learning Curve for GatewaySetting up and managing the Glama Gateway may require additional configuration for team workflows.

Use Cases & Recommended Professions

Software Developer→ View Toolkit

Needs to integrate AI agents with various tools (databases, APIs) via MCP, test servers quickly, and deploy without infrastructure overhead.

AI/ML Engineer→ View Toolkit

Requires access to a wide range of MCP servers for model training, retrieval-augmented generation, and agentic workflows.

Data Scientist→ View Toolkit

Uses MCP servers for data retrieval, analysis, and integration with AI assistants to automate research and reporting.

Product Manager→ View Toolkit

Evaluates MCP capabilities for product features, tests connectors for third-party services, and manages access controls via the gateway.

DevOps Engineer→ View Toolkit

Manages MCP server deployments, sets up logging and monitoring through the gateway, and ensures secure access for team tools.

Research Scientist→ View Toolkit

Leverages academic databases (e.g., Scopus) via MCP for literature search, citation analysis, and automated data extraction.

Frequently Asked Questions

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ℹ️ Curation Disclosure: The overview and features of Glama were synthesized using AI and fact-checked by our curation team to ensure accuracy.

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