A2A Registry
Provides a unified registry for discovering and managing agents that implement the A2A (Agent-to-Agent) protocol, enabling registration, querying, and CRUD operations on agent metadata through both REST API and MCP tools.
README
A2A Registry
A Model Context Protocol (MCP) server providing a unified registry for agents implementing the A2A (Agent-to-Agent) protocol. The registry exposes both a REST API and MCP tools for registering, querying, and managing agent metadata.
Features
- Dual API Access: REST API and MCP server running on a single HTTP server
- Intelligent Agent Registration: Automatically fetches AgentCards from URLs using smart routing
- Multiple Storage Backends: JSON file or SQLite database
- Concurrent Access: SSE-based MCP transport allows multiple clients simultaneously
- Full CRUD Operations: Create, read, update, and delete agents
- A2A Protocol Compliant: Uses standard AgentCard model from
@a2a-js/sdk
Installation
npm install
npm run build
Usage
Basic Usage
# Start with default settings (JSON store, port 3000)
npm start
# Or run directly
node dist/index.js
Configuration Options
# Use SQLite storage
node dist/index.js --store=sqlite --file=./agents.db
# Custom port
node dist/index.js --port=4000
# Custom JSON file location
node dist/index.js --store=json --file=./my-agents.json
# Combine options
node dist/index.js --store=sqlite --file=./agents.db --port=4000
CLI Options
| Flag | Values | Description | Default |
|---|---|---|---|
--store |
json, sqlite |
Storage backend | json |
--file |
path | Database or JSON file path | a2a-registry.json or a2a-registry.db |
--port |
number | HTTP server port | 3000 |
--help |
- | Show help message | - |
Using PM2
# Start with PM2
pm2 start ecosystem.config.cjs
# View logs
pm2 logs a2a-registry
# Stop
pm2 stop a2a-registry
# Restart
pm2 restart a2a-registry
API Endpoints
REST API
All REST endpoints are under /agents:
List All Agents
GET /agents
Get Agent by Name
GET /agents/:name
Register New Agent
POST /agents
Content-Type: application/json
{
"url": "https://example.com"
}
The registry will automatically:
- Determine the AgentCard URL using intelligent routing
- Fetch the AgentCard from the URL
- Validate the AgentCard structure
- Store it using the agent's name as the primary key
URL Routing Examples:
https://example.com→ Fetches fromhttps://example.com/.well-known/agent-card.jsonhttps://example.com/my-agent→ Fetches fromhttps://example.com/my-agent/.well-known/agent-card.jsonhttps://cdn.example.com/agent.json→ Fetches directly (URL ends with.json)
Update Agent
PUT /agents/:name
Content-Type: application/json
{
"url": "https://new-url.com" # Optional, re-fetches from existing URL if omitted
}
Delete Agent
DELETE /agents/:name
MCP Server
The MCP server is available at /mcp using SSE (Server-Sent Events) transport.
Config example
{
"mcpServers": {
"a2a-registry": {
"type": "http",
"url": "http://localhost:3005/mcp"
}
}
}
Available MCP Tools
-
a2a_register_agent
- Register a new agent by URL
- Parameters:
{ url: string }
-
a2a_list_agents
- List all registered agents
- Parameters: none
-
a2a_get_agent
- Get agent details by name
- Parameters:
{ name: string }
-
a2a_update_agent
- Update agent by re-fetching AgentCard
- Parameters:
{ name: string, url?: string }
-
a2a_delete_agent
- Delete agent from registry
- Parameters:
{ name: string }
Architecture
┌─────────────────────────────────────────┐
│ REST API │ MCP Server │
│ (HTTP Routes) │ (MCP Tools) │
├─────────────────────┴───────────────────┤
│ AgentService │
│ (Business Logic & Validation) │
├─────────────────────────────────────────┤
│ Store Interface │
│ (Storage Abstraction) │
├─────────────────────────────────────────┤
│ JsonFileStore │ SqliteStore │
│ (Implementations) │
└─────────────────────────────────────────┘
Key Design Principles
- Service Layer Pattern: AgentService encapsulates all business logic
- No Code Duplication: REST and MCP APIs are thin adapters calling AgentService
- Intelligent Registration: Automatic AgentCard discovery and fetching
- Pluggable Storage: Easy to add new storage backends
- Concurrent Access: Stateless SSE transport for MCP
AgentCard Structure
The registry uses the standard AgentCard model from the A2A protocol. Required fields include:
name: Agent name (used as primary key)description: Agent purpose and capabilitiesurl: Primary A2A endpoint URLversion: Agent versioncapabilities: Supported A2A protocol featuresdefaultInputModes: Supported input MIME typesdefaultOutputModes: Supported output MIME typesskills: Agent's distinct capabilities
See the A2A Protocol Specification for complete details.
Development
Project Structure
a2a-registry/
├── src/
│ ├── index.ts # Main entry point
│ ├── types/ # TypeScript type definitions
│ ├── store/ # Storage implementations
│ │ ├── JsonFileStore.ts
│ │ └── SqliteStore.ts
│ ├── services/ # Business logic
│ │ └── AgentService.ts
│ ├── api/ # REST API
│ │ └── restApi.ts
│ ├── mcp/ # MCP server
│ │ └── mcpServer.ts
│ └── utils/ # Utilities
│ └── validation.ts
├── dist/ # Compiled JavaScript
├── package.json
├── tsconfig.json
└── ecosystem.config.cjs # PM2 configuration
Build
npm run build
Development Mode (with auto-reload)
npm run dev
Clean Build
npm run clean
npm run build
Error Handling
The registry provides clear, actionable error messages:
- 404: Agent not found
- 409: Agent already exists (use update instead)
- 400: Invalid URL, fetch failure, or validation error
- 500: Internal server error
All errors include helpful messages to guide next steps.
License
MIT
Contributing
Contributions are welcome! Please ensure:
- Code follows the existing architecture patterns
- All business logic is in AgentService
- APIs are thin adapters
- Tests pass and build succeeds
Support
For issues or questions, please open an issue on GitHub.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
E2B
Using MCP to run code via e2b.