punkpeye/awesome-mcp-servers

A collection of MCP servers.

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Summary Information

Updated 34 minutes ago
Added to GitGenius on May 28th, 2026
Created on November 30th, 2024
Open Issues & Pull Requests: 3,605 (+3)
Number of forks: 15,115
Total Stargazers: 92,854 (+0)
Total Subscribers: 39 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 4.2 days
Mean response time: 22.3 days
90th percentile: 65.3 days
Tracked items: 559

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Only 27% of issues opened in the past year have been closed. Three people close 94% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 23
New in 7 days: 11
Closed in 7 days: 0
Avg open age: 0 days
Stale 30+ days: 8
Stale 90+ days: 0

Recent activity

Opened in 7 days: 9
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • good first issue (2)
  • question (2)
  • documentation (1)

Most active issues this week

No issue events were indexed in the last 7 days.

Detailed Description

The awesome-mcp-servers repository is a curated collection of MCP servers maintained on GitHub by punkpeye. The project serves as a centralized directory and resource hub for discovering and accessing various MCP server implementations, with its content also published and browsable through a web interface at glama.ai/mcp/servers. The repository is tagged with topics related to artificial intelligence and MCP technology, positioning it as a reference resource within the broader AI and model context protocol ecosystem.

The repository has experienced steady engagement and growth. This suggests ongoing community participation and continued identification of items requiring attention or discussion.

The most frequently applied issue labels tracked by GitGenius reflect the repository's community-focused nature. The good first issue label appears twice, suggesting the maintainers actively identify and mark tasks suitable for new contributors. The question label also appears twice, indicating that community members regularly use the issue tracker to seek clarification or assistance. Documentation-related issues appear once in the tracked data, pointing to ongoing efforts to maintain and improve the repository's documentation.

Contribution activity is heavily concentrated among a small group of maintainers and contributors. This concentration of activity around the primary maintainer suggests a maintainer-driven project structure.

The repository maintains connections with related projects in the MCP and AI development space.

This classification suggests that while the repository's primary focus is MCP servers, the categorization system may reflect broader patterns in how server-related resources are organized or indexed, or it may indicate that a significant portion of the MCP servers documented in this collection are gaming-related implementations.