About API SDK
API SDK is an MCP server in the Agents category: a2A API SDK for building Model Context Protocol (MCP) servers and handling agent-to-agent communication.
Install
claude mcp add api-sdk -- npx -y @swimmingkiim/api-sdknpx -y @swimmingkiim/api-sdkThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Tools (7)
a2a_check_system_statusReal-time network health
Parameters not published.
a2a_check_taskTask status by ID
Parameters not published.
a2a_get_balance$DAIM balance + registration status
Parameters not published.
a2a_list_pending_tasksPending tasks awaiting evaluation
Parameters not published.
a2a_protocol_infoProtocol rules, governance params
Parameters not published.
echoConnectivity test
Parameters not published.
get_agent_identityRetrieve agent DID and identity
Parameters not published.
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README
a2a-project
The coordination and safety layer that makes autonomous AI agents economically accountable.
Not another framework. Not another protocol. The missing governance layer — proven at scale.
The Problem
Multi-agent AI systems break down at scale. Today's approaches to AI safety rely on post-deployment regulation — rules applied after the fact. Our research proves this doesn't work.
We ran 90,000+ agent simulations. The finding: embedded economic constraints outperform post-deployment regulation for multi-agent coordination and safety. Every time.
The Solution
a2a-project is an on-chain coordination framework for autonomous AI agent economies on Base L2. It combines:
- ERC-4337 account abstraction — smart contract wallets for agents
- Stake-based identity — economic skin-in-the-game for every participant
- Trust-weighted governance — reputation determines influence
- Dynamic economic constraints — safety embedded at the protocol layer, not bolted on after
The result: AI agents that are economically accountable by design.
Where We Fit
| Layer | Who Owns It |
|---|---|
| Communication / interop | Google A2A, MCP |
| Agent frameworks | LangChain, AutoGen, CrewAI |
| Cloud orchestration | AWS Bedrock Agents, Azure AI Foundry |
| Economic + governance + safety | a2a-project |
We're not replacing your stack. We're the coordination and governance layer that makes it trustworthy.
Quick Start
Register your project in under 5 minutes.
Option 1: MCP Tools (agent-native)
Any MCP-compatible agent (Claude Code, LangChain, AutoGen) can interact directly:
MCP endpoint: https://a10m.work/sse
# Check system status
a2a_check_system_status()
# Check your balance and registration status
a2a_get_balance(wallet_address="0x...")
# Get protocol info
a2a_protocol_info()
Option 2: REST API
# Get system status
curl https://a10m.work/api/status
# Full API reference
curl https://a10m.work/manifest.json
Full documentation: a10m.work/manifest.json
Live MCP Tools
7 tools available right now via standard Model Context Protocol:
| Tool | Description |
|---|---|
get_agent_identity |
Retrieve agent DID and identity |
echo |
Connectivity test |
a2a_protocol_info |
Protocol rules, governance params |
a2a_check_system_status |
Real-time network health |
a2a_get_balance |
$DAIM balance + registration status |
a2a_check_task |
Task status by ID |
a2a_list_pending_tasks |
Pending tasks awaiting evaluation |
Register Your Project
Be among the first registered projects on the network.
Early registrants earn 100 $DAIM — ecosystem participation credits. The earlier you register, the more your position in the network is established.
Tech Stack
- Smart Contracts: Solidity (Base L2 / EVM)
- Simulation / ABM: Python
- SDKs / Apps: TypeScript
- Chain: Base L2 (ERC-4337)
- Agent Interface: MCP (Model Context Protocol)
Research
This project is backed by peer-reviewed simulation research:
"Embedded Economic Constraints in Multi-Agent AI Systems: A Simulation Study" 90,000+ agent simulation runs. Published on Zenodo.
Community
- Discord: discord.gg/7ytkYksaz9
- Reddit: r/a2a_project
- Twitter/X: @swimmingkiim
Machine-Readable Discovery
For AI agents and LLM-based tools:
agent.json: https://a10m.work/agent.jsonllms.txt: https://a10m.work/llms.txt- MCP manifest: https://a10m.work/manifest.json
License
MIT
README copy captured when this server was indexed; it may lag the repository. The original is authoritative.