a2aprotocol.ai valid
A2A Protocol
A standardized open protocol enabling seamless communication and collaboration between AI agents across different platforms and frameworks.
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-26T04:37:35.689Z. Cached copy · Source on a2aprotocol.ai
# A2A Protocol
> A standardized open protocol enabling seamless communication and collaboration between AI agents across different platforms and frameworks.
The A2A Protocol is Google's Agent2Agent communication standard that solves interoperability challenges in the AI ecosystem. It allows specialized AI agents to work together regardless of their underlying implementation, supporting everything from quick tasks to long-running research with real-time feedback.
## Core Content
- [About A2A](https://a2aprotocol.ai/#about): Universal standard for agent interoperability with enterprise-grade security
- [Features](https://a2aprotocol.ai/#features): Open standard, multi-modal support, agent collaboration, and real-time updates
- [How It Works](https://a2aprotocol.ai/#how-it-works): Capability discovery, task management, and structured communication flows
- [For Developers](https://a2aprotocol.ai/#developers): Code samples, documentation, and implementation guides
## Online Tools
- [Test Agent Card](https://a2aprotocol.ai/a2a-protocol-validator): Online tool to validate if a domain supports the A2A protocol and visualize agent card information. Enter any URL to check for A2A protocol support and parse the agent.json file.
## Technical Resources
- [Documentation](https://a2aprotocol.ai/docs): Complete A2A protocol documentation
- [Python Guide](https://a2aprotocol.ai/docs/guide/python-a2a.html): Python implementation guide
- [TypeScript Guide](https://a2aprotocol.ai/docs/guide/a2a-typescript-guide.html): TypeScript implementation guide
- [A2A vs MCP](https://a2aprotocol.ai/docs/guide/a2a-vs-mcp.html): Detailed comparison with Model Context Protocol
- [Awesome A2A](https://a2aprotocol.ai/docs/guide/awesome-a2a.html): Curated list of A2A resources
- [Understanding A2A](https://a2aprotocol.ai/docs/guide/understanding-a2a-protocol.html): In-depth protocol explanation
- [Sample Methods](https://a2aprotocol.ai/docs/guide/a2a-sample-methods-and-json-responses.html): Comprehensive examples
- [Specification](https://github.com/google/A2A/tree/main/specification/json): Complete A2A protocol specifications
- [Code Samples](https://github.com/google/A2A/tree/main/samples): Implementation examples in various languages
- [Tutorials](https://a2aprotocol.ai/blog): Guides on TypeScript, Python, and JSON implementation
## Educational Resources
- [A2A vs MCP](https://a2aprotocol.ai/blog/a2a-vs-mcp): Understanding how A2A complements the Model Context Protocol
- [Sample Methods](https://a2aprotocol.ai/blog/a2a-sample-methods-and-json-responses): Comprehensive examples of protocol methods and responses
- [Community](https://github.com/google/A2A/discussions): Join discussions and contribute to protocol development
Related sites
Similar publisher descriptions and documentation. Similarity does not imply affiliation or equivalent capabilities.
| Domain | Title | Category | Country | Authority | llms.txt | llms-full.txt | Save |
|---|---|---|---|---|---|---|---|
| a2a-protocol.org | A2A (Agent2Agent) Protocol | documentation AI and machine learning AI agents and MCP +2 | US | 61 | ✓ | ✓ | |
| ag-ui.com | Agent User Interaction Protocol | documentation Developer tools AI agents and MCP +1 | — | 51 | ✓ | ✓ | |
| aimoo.com | Aimoo A2A | interface AI and machine learning AI agents and MCP +1 | — | 61 | ✓ | ✓ | |
| ap2-protocol.org | AP2 - Agent Payments Protocol Documentation | documentation Finance and payments AI and machine learning +2 | — | 55 | ✓ | ✓ | |
| agent-native.com | Agent-Native | interface AI and machine learning Open source projects +2 | — | 56 | ✓ | ✓ | |
| agents-txt.com | agents.txt Standard | documentation AI and machine learning AI agents and MCP +1 | — | 46 | ✓ | ✓ | |
| agentidentityprotocol.io | Agent Identity Protocol | documentation AI and machine learning AI agents and MCP +1 | — | 45 | ✓ | ✓ | |
| aiengineeringfromscratch.com | AI Engineering from Scratch | documentation AI and machine learning Education | US | 48 | ✓ |
Machine-readable: GET /v1/resolve?q=a2aprotocol.ai · GET /v1/domain/a2aprotocol.ai · this page as Accept: application/json or text/markdown · MCP lookup_domain
Automatically discovered from public files. Inclusion does not imply endorsement or publisher participation.
Own or manage this website?
If you own or manage a2aprotocol.ai, you can update its listing and review file health, discovery activity and score history.
Manage this listing — optional
What verification unlocks
See how your site is discovered—and control what agents see.
- See your website in the map
Review your indexed topics, nearby publishers sharing headings, measured listing exposure and map snapshots in a private report for your website.
- Control what agents see
Edit your listing description, tags, public contact details and additional llms.txt paths. Publish your terms for automated access, attribution and pricing.
- Make your profile eligible for search
A valid, listed, unblocked, verified profile can appear in our publisher sitemap and become eligible for search-engine visibility. Search engines decide what to index and rank.
- Appear in our llms-full.txt
Eligible verified publishers are listed by name, with their file links and summaries, in the service overview agents can read.
Free. No account registration, backlink or payment required. Public discovery remains available without verification.
Let your coding agent verify it
If your coding agent is authorized to manage this website, paste these instructions into it.
Claim my listing on Agent Web Map for a2aprotocol.ai:
1. POST https://agentwebmap.com/v1/sites/a2aprotocol.ai/claims and keep claim_id and claim_secret private.
2. Publish the verification line "AgentWebMap verification: <token>" (token from step 1) in https://a2aprotocol.ai/llms.txt, or use the DNS, meta-tag or well-known method the response describes. This only verifies the listing; your website and domain remain yours.
3. POST https://agentwebmap.com/v1/sites/a2aprotocol.ai/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/a2aprotocol.ai).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verifyCorrections or removal requests: contact the directory.