About io.github.mdfifty50-boop/a2a-bridge
io.github.mdfifty50-boop/a2a-bridge is an MCP server in the Agents category: agent-to-agent communication bridge for multi-agent systems. It has been installed 0 times through Conduid.
Install
claude mcp add io-github-mdfifty50-boop-a2a-bridge -- npx -y a2a-bridge-mcpnpx -y a2a-bridge-mcpThis 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.
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README
a2a-bridge-mcp
MCP server for agent-to-agent communication -- capability discovery, task delegation, and result aggregation across MCP agents.
MCP connects agents to tools, but not to each other. This server adds a standardized agent-to-agent layer within the MCP protocol -- register agents, discover capabilities, delegate tasks, and broadcast work to multiple agents. Inspired by Google's A2A protocol.
Install
npx a2a-bridge-mcp
Claude Desktop
Add to claude_desktop_config.json:
{
"mcpServers": {
"a2a-bridge": {
"command": "npx",
"args": ["a2a-bridge-mcp"]
}
}
}
From source
git clone https://github.com/mdfifty50-boop/a2a-bridge-mcp.git
cd a2a-bridge-mcp
npm install
node src/index.js
Tools
register_agent
Register an agent with capabilities for discovery by other agents.
| Param | Type | Default | Description |
|---|---|---|---|
agent_id |
string | required | Unique agent identifier |
capabilities |
string[] | required | Capability strings (e.g. ["code-review", "summarization"]) |
description |
string | "" |
Human-readable description |
input_schema |
object | {} |
JSON schema for accepted input |
output_schema |
object | {} |
JSON schema for produced output |
endpoint |
string | "" |
Optional endpoint or transport hint |
discover_agents
Find agents matching a capability need with fuzzy text similarity scoring.
| Param | Type | Default | Description |
|---|---|---|---|
capability_needed |
string | required | Capability to search for |
min_score |
number | 0.3 | Minimum similarity score (0-1) |
Returns scored matches sorted by relevance.
delegate_task
Delegate a task to a specific registered agent. Creates a tracked task with status lifecycle.
| Param | Type | Default | Description |
|---|---|---|---|
from_agent |
string | required | Delegating agent ID |
to_agent |
string | required | Target agent ID |
task_description |
string | required | What the target should do |
input_data |
object | {} |
Input data for the task |
timeout_ms |
number | 30000 | Timeout in milliseconds |
Returns a task_id for tracking.
get_task_result
Get status and result of a delegated task. Also used by executing agents to submit results.
| Param | Type | Description |
|---|---|---|
task_id |
string | Task ID from delegate_task or broadcast_task |
submit_result |
object | (Optional) Submit completion result |
submit_error |
string | (Optional) Submit failure error |
Status lifecycle: pending -> running -> completed / failed.
broadcast_task
Send a task to ALL agents matching a capability. Creates individual tracked tasks for each match.
| Param | Type | Default | Description |
|---|---|---|---|
from_agent |
string | required | Broadcasting agent ID |
capability_needed |
string | required | Capability to match |
task_description |
string | required | What matched agents should do |
input_data |
object | {} |
Input data |
min_score |
number | 0.3 | Minimum match score |
timeout_ms |
number | 30000 | Timeout per agent |
Returns list of task IDs for aggregation via get_task_result.
get_agent_card
Get an agent's full capability card with schemas, stats, and task history.
| Param | Type | Description |
|---|---|---|
agent_id |
string | Agent identifier |
Returns capabilities, input/output schemas, success rate, and task counts. Inspired by Google A2A agent cards.
list_agents
List all registered agents, optionally filtered by capability.
| Param | Type | Default | Description |
|---|---|---|---|
filter |
string | "" |
Capability keyword to filter by (empty = all) |
Resources
| URI | Description |
|---|---|
a2a://agents |
All registered agents with capabilities and stats |
Usage Pattern
1. register_agent -- each agent registers at startup
2. discover_agents -- find who can handle a task
3. delegate_task -- send work to a specific agent
OR broadcast_task -- send work to all matching agents
4. get_task_result -- poll for completion or submit results
5. get_agent_card -- inspect an agent's full profile
6. list_agents -- overview of the agent network
Multi-agent workflow example
Agent A (orchestrator):
1. register_agent(agent_id="orchestrator", capabilities=["planning", "coordination"])
2. discover_agents(capability_needed="code review")
-> finds Agent B (score: 0.95)
3. delegate_task(from="orchestrator", to="agent-b", task="Review PR #42")
-> task_id: "task_1234"
4. get_task_result(task_id="task_1234")
-> status: "completed", result: { approved: true, comments: [...] }
Agent B (worker):
1. register_agent(agent_id="agent-b", capabilities=["code-review", "linting"])
2. (receives task via external notification or polling)
3. get_task_result(task_id="task_1234", submit_result={ approved: true })
License
MIT
README mirrored from the source repository 4 months ago. The original is authoritative.