awesome-a2a vs awesome-mcp-servers

Directories for discovering AI agent protocol projects

awesome-a2a catalogs servers, clients, frameworks, and tools built around Google's Agent2Agent protocol. awesome-mcp-servers catalogs reference, official, and community servers for the Model Context Protocol, with a website route for submissions; the two directories focus on different protocols and project types.

awesome-a2aawesome-mcp-servers
LicenseMITMIT
Stars1914.3k
Forks1092.1k
Last analyzedNov 7, 2026Oct 3, 2026

Key differences

  • awesome-a2a covers A2A servers as well as clients, tutorials, frameworks, and protocol utilities; awesome-mcp-servers focuses on MCP servers.
  • awesome-a2a groups server entries by service category and may label language, scope, operating system, and official status; awesome-mcp-servers separates entries into reference, official, and community categories.
  • awesome-a2a includes projects combining A2A with MCP and agent payment or trust systems; awesome-mcp-servers includes reference implementations demonstrating MCP tools, prompts, and resources.
  • awesome-a2a accepts contributions through repository activity, while awesome-mcp-servers directs submissions through its website and does not accept pull requests.
  • Both repositories are MIT licensed, but their listings link to third-party projects whose licenses, maturity, and maintenance can vary.
  • awesome-a2a reports 191 stars and 109 forks; awesome-mcp-servers reports 4.3k stars and 2.1k forks.

Choose awesome-a2a if you…

  • need to discover A2A servers, clients, frameworks, or protocol utilities.
  • want to browse A2A implementations by service category or available language and scope labels.
  • are learning Google's A2A protocol and want to start with listed samples or tutorials.
Read the awesome-a2a analysis →

Choose awesome-mcp-servers if you…

  • need to find MCP servers connecting AI clients with services, tools, or data sources.
  • want to compare reference, official, and community MCP server listings.
  • are exploring MCP examples or proposing a server through a website submission route.
Read the awesome-mcp-servers analysis →

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This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.