A2A Protocol Integration Service — Set Up for You

✓ Agent Cards & discovery ✓ Auth on every request ✓ Streaming & long-running tasks ✓ Works alongside MCP

Quick answer

What is the A2A protocol? 

Agent2Agent (A2A) is an open standard for communication between AI agents. Google announced it in April 2025 and donated it to the Linux Foundation in June 2025, with founding members including AWS, Cisco, Microsoft, Salesforce, SAP and ServiceNow. Each agent publishes an Agent Card describing its skills, endpoint and authentication. Other agents send it tasks over standard web transports and receive status updates and results (artifacts).

What does this service include? 

Codersarts engineers define Agent Cards for your agents, implement A2A servers and clients, add authentication, connect agents across frameworks (LangGraph, CrewAI, Google ADK, OpenAI Agents SDK, custom), and test complete cross-agent tasks.

How long and how much? 

Starter from $199 (3 days, 2 agents). Standard $399 (5 days, up to 4 agents with auth and streaming). Advanced $799 (10 days, production setup with MCP tools, monitoring and docs).

Is this your problem?

• Your teams built agents on different frameworks, and they can't talk to each other

• Every new agent connection needs custom API glue that breaks

• A vendor's agent (CRM, ITSM, ERP) can't hand work to your in-house agents

• Long-running agent tasks have no shared way to report status or results

• You're not sure whether you need A2A, MCP, or both

• Security asks how agents authenticate to each other, and there's no good answer

A2A vs MCP: what's the difference?

In practice, production multi-agent systems use both: MCP gives each agent its tools, and A2A lets agents collaborate.

Why agent integrations break without a standard

• Point-to-point glue code: N agents need up to N×(N−1) custom connections, which become fragile and hard to secure.

• No discovery: agents can't find out what another agent can do or how to call it.

• No task lifecycle: there's no shared way to say "working", "needs input", "completed" or "failed", or to stream progress.

• Framework lock-in: agents built in LangGraph, CrewAI, ADK or custom code don't speak the same language.

• Weak auth: internal agent calls often skip proper authentication and authorization.

A2A replaces custom glue with one standard interface for discovery, tasks, streaming and auth.

How A2A works (simple view)

Client agent                                   Remote agent (A2A server)
     │  1. GET /.well-known/agent-card.json  ───►  Agent Card: skills, endpoint, auth, transports
     │  2. Authenticate (OAuth / API key / mTLS)
     │  3. message/send or message/stream    ───►  Creates a Task
     │  ◄── 4. Status updates (SSE): submitted → working → input-required → completed
     │  ◄── 5. Artifacts: text, files, structured data
     │  6. Optional push notifications (webhooks) for long-running tasks

Transports in the spec (v0.3): JSON-RPC 2.0, gRPC, and HTTP+JSON/REST over HTTPS.

What we do

1. Scope check: which agents, what each one does, which tasks cross between them, and the trust boundaries.

2. Agent Cards: define skills, inputs/outputs, endpoints, transports and auth schemes for each agent.

3. A2A servers: wrap each agent (LangGraph, CrewAI, Google ADK, OpenAI Agents SDK, Claude Agent SDK or custom) with an A2A endpoint using the official SDKs.

4. A2A clients / orchestrator: let agents discover and delegate to each other, or route through a supervisor.

5. Auth & security: OAuth 2.0/OIDC, API keys or mTLS; per-skill authorization; input validation; rate limits.

6. Streaming & async: SSE progress updates, input-required handoffs, push notifications for long-running tasks.

7. MCP integration (Advanced): connect agents to tools through MCP, alongside A2A for collaboration.

8. Testing & monitoring: end-to-end task tests, failure and timeout cases, tracing and logs.

Packages

Add-ons: Priority delivery (+50%) · Extra agent (+$79) · MCP tool integration (+$79) · 30-min walkthrough call (+$25) · 14-day support (+$39)

Final scope and price are confirmed after a free 30-minute scope check.

Frameworks & platforms we connect

Use cases

Security we build in

• Authentication on every request, using the schemes declared in the Agent Card

• Per-skill authorization: an agent can call only the skills it's allowed to

• TLS everywhere, plus mTLS for internal service-to-service calls where needed

• Input validation and size limits on messages and files

• Untrusted content handling: messages from other agents are treated as data, not instructions

• Rate limits & timeouts to stop runaway delegation loops

• Audit logs and tracing across agents

What you get

• A2A-enabled agents with published Agent Cards

• A2A client/orchestrator logic for discovery and delegation

• Authentication and authorization setup

• Streaming and long-running task support (per package)

• Integration tests and a results report

• An architecture document and setup guide

• Proof of done: a live demo of agents on different frameworks completing a shared task

What we need from you

Required (the delivery clock starts once we have these):

• The agents to connect: framework, hosting and what each does

• 5–30 example cross-agent tasks (what goes in, what should come out)

• Hosting and network details (cloud, VPC, internal or public)

• Auth requirements and identity provider (if any)

• What success looks like (definition of done)

Optional:

• Existing MCP servers or tools

• Observability stack (Langfuse, OpenTelemetry, Datadog)

• Whether you need an NDA

How it works

1. Free scope check (30 min): agents, tasks, auth and package.

2. Design: Agent Cards, task flows and security model.

3. Build & test: A2A servers, clients, auth and end-to-end tests.

4. Demo & hand over: live cross-agent demo, docs, and revisions within your package.

Why Codersarts Tasks

• One accountable team: Codersarts engineers who build agents, MCP servers and multi-agent systems.

• Standards-based: open protocols (A2A + MCP), not proprietary glue that locks you in.

• Security by default: auth, scoped skills and loop protection from day one.

• Room to grow: from 2 connected agents to a full multi-agent platform.

Related tasks

• Build MCP Server for Your Tools & Data: give each agent its tools

• Build Multi-Agent System (LangGraph, CrewAI)

• Deploy AI Agent to Cloud (AWS Bedrock AgentCore, Azure AI Foundry, Google ADK)

• Make AI Agent Production-Ready

• Build AI Agent Workflow

Bigger than one task? Plan a multi-agent platform →

FAQ

What is the A2A protocol? Agent2Agent (A2A) is an open standard that lets AI agents discover each other, delegate tasks and exchange results securely. Google announced it in April 2025, and it's now governed by the Linux Foundation, with members including AWS, Cisco, Microsoft, Salesforce, SAP and ServiceNow.

What's the difference between A2A and MCP? MCP connects an agent to tools and data. A2A connects agents to other agents. Most production multi-agent systems use both.

How much does A2A integration cost? From $199 to connect 2 agents. Standard ($399) connects up to 4 agents with OAuth and streaming. Advanced ($799) adds production setup, push notifications, MCP tools and monitoring.

Do my agents need to be built on the same framework? No. A2A is framework-independent. We can connect LangGraph, CrewAI, Google ADK, OpenAI Agents SDK, Claude Agent SDK and custom agents.

What is an Agent Card? A JSON document an agent publishes, typically at /.well-known/agent-card.json, describing its skills, endpoint, supported transports and authentication, so other agents can discover and call it.

Does A2A support long-running tasks? Yes. Tasks move through states (submitted, working, input-required, completed, failed), with streaming updates over SSE and optional push notifications.

Is A2A secure? A2A uses standard web security: HTTPS, and auth schemes declared in the Agent Card (OAuth/OIDC, API keys, mTLS). We add per-skill authorization, input validation, rate limits and audit logs.

Do we need A2A if all our agents are in one framework? Often not at first. A framework's built-in orchestration may be enough. A2A is valuable when agents span teams, frameworks, vendors or deployments. We advise during the scope check.

Which languages are supported? Official A2A SDKs cover Python, JavaScript/TypeScript, Java, .NET and Go.

Do we own the code? Yes. You get the full source code, Agent Cards and documentation, and we sign an NDA on request.

Turn separate AI agents into one system that works together.

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