punkpeye/awesome-mcp-clients

A collection of MCP clients.

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Summary Information

Updated 15 minutes ago
Added to GitGenius on April 2nd, 2026
Created on January 11th, 2025
Open Issues & Pull Requests: 90 (+0)
GitHub issues: Enabled
Number of forks: 652
Total Stargazers: 6,581 (+0)
Total Subscribers: 36 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 10.8 days
Mean response time: 90.6 days
90th percentile: 263.4 days
Tracked items: 47

How this project is maintained

Around half of the issues opened in the past year never receive a reply. Only 15% of issues opened in the past year have been closed. Three people close 94% of everything that gets resolved.

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Issue Activity (beta)

Open issues: 6
New in 7 days: 1
Closed in 7 days: 1
Avg open age: 0 days
Stale 30+ days: 1
Stale 90+ days: 0

Recent activity

Opened in 7 days: 1
Closed in 7 days: 1
Comments in 7 days: 1
Events in 7 days: 2

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Detailed Description

The awesome-mcp-clients repository is a curated list of Model Context Protocol clients maintained by punkpeye. The repository serves as a comprehensive directory of MCP client implementations, with an associated homepage at glama.ai/mcp/clients that provides the most up-to-date listing. MCP is an open protocol enabling AI models to securely interact with local and remote resources through standardized server implementations, and this repository catalogs production-ready and experimental clients that extend AI capabilities through file access, database connections, API integrations, and other contextual services.

The repository contains detailed entries for numerous MCP clients spanning multiple categories and use cases. Documented clients include desktop applications like eechat, 5ire, and AgentOne, web-based platforms such as Agent Bridge and AIaW, CLI tools like askit-mcp, and specialized implementations including OpenClaw, a self-hosted AI agent supporting multiple messaging platforms. Each client entry includes structured information about GitHub repositories, websites, licensing, application type, supported platforms, pricing models, and programming languages used. The list encompasses clients built with diverse technology stacks including TypeScript, Python, Rust, Vue, and Node.js, reflecting the ecosystem's technical diversity.

This indicates integration points within the broader AI and development tool ecosystem. The README includes a community section directing users to r/mcp on Reddit and a Discord server, establishing social infrastructure around the MCP protocol adoption.

The client listings demonstrate substantial breadth in application types and deployment models. Desktop applications dominate the list, offering cross-platform support across Windows, macOS, and Linux. Web-based clients provide browser-accessible alternatives, while CLI tools serve developers preferring command-line interfaces. Pricing models vary from entirely free offerings to freemium models like AgentOne, with most entries being open-source under permissive licenses such as MIT, Apache 2.0, or BSD 3-Clause, though some proprietary implementations exist.

The repository functions as both a discovery tool and reference guide for developers and users seeking MCP client solutions. By aggregating information about available implementations with consistent metadata presentation, it reduces fragmentation in the MCP ecosystem and facilitates informed selection based on specific requirements around platform compatibility, licensing, feature sets, and technology preferences. The maintained list structure with table-formatted client details and screenshot galleries enhances usability for potential adopters evaluating different MCP client options.