Glama — Registry

Provides 90,000+ MCP servers automatically collected from GitHub with quality scores

Basic Information

What is this program?

Glama is an MCP registry and directory that provides 90,000+ MCP servers automatically collected from GitHub with quality scores. It is a registry that automatically collects and indexes MCP servers from GitHub. It provides quality/maintenance scores and a browser inspector.

It is a community and commercial discovery resource to consult alongside the official registry when looking for MCP servers.

What problems does it solve?

• ('In server discovery', 'When you need to find a server among the 90,000+ MCP servers automatically collected from GitHub with quality scores', 'Browse by category and search')
• ('In comparison and selection', 'When you need to choose the right one among multiple servers', 'Compare descriptions and scores')

Key Features

Discovery & Search

Discover servers by category, tag, and search

• Use case: Quickly find the server you need
• Result: Various filters
• Limitations: Need to check quality variation

Installation & Integration

Connect the selected server to a host app

• Use case: Use immediately
• Result: Provides configuration snippets
• Limitations: Requires client-specific modifications

Installation and Execution

Web access

Open the service website in a browser.

https://glama.ai/mcp/servers

Real-world usage examples

Server search

Search and compare servers with the features you want.

Filter by category and tag

Advantages and Limitations

Advantages

• MCP ecosystem discovery resource
• Provides categories and search
• Free to browse

Points to consider before use

• Quality varies
• Server count and naming vary by service

Comparison with similar programs

Official resources and further learning

• Official homepage — https://glama.ai/mcp/servers
• Official documentation / knowledge base — https://glama.ai/mcp/servers
• Installation/deployment — https://glama.ai/mcp/servers
• Release notes — https://glama.ai/mcp/servers
• Source / development resources — https://glama.ai/mcp/servers

Version and supported environment information is based on values confirmed on the official site as of 2026-10-18. Installation commands may vary depending on the distribution and version you use, so please also check the official installation documentation.

Actual execution screenshots

Synthetic example — not an actual execution result. The screen is a synthetic example and not an actual execution result.

!Glama usage example

Servers currently in operation

Source (HTML): https://games.aidebatehub.com/programs/mcp/registry/glama.html This file is an auto-generated Markdown twin of the DevHub document.