Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Agent-to-agent communication bridge for multi-agent systems
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"a2a-bridge": {
"command": "npx",
"args": [
"-y",
"a2a-bridge-mcp"
]
}
}
}Run this in your terminal
claude mcp add a2a-bridge -- npx -y a2a-bridge-mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"a2a-bridge": {
"command": "npx",
"args": [
"-y",
"a2a-bridge-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"a2a-bridge": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"a2a-bridge-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026
The registry name was verified with the GitHub account mdfifty50-boop, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 7 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Filesystem MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Filesystem MCP server for AI assistants.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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.
npx a2a-bridge-mcp
Add to claude_desktop_config.json:
{
"mcpServers": { "a2a-bridge": { "command": "npx", "args": ["a2a-bridge-mcp"] } } }
git clone https://github.com/mdfifty50-boop/a2a-bridge-mcp.git
cd a2a-bridge-mcp npm install node src/index.js
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 |
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 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 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.
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 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 all registered agents, optionally filtered by capability.
| Param | Type | Default | Description |
|---|---|---|---|
filter | string | "" | Capability keyword to filter by (empty = all) |
| URI | Description |
|---|---|
a2a://agents | All registered agents with capabilities and stats |
1. register_agent -- each agent registers at startup
Agent A (orchestrator):
Agent B (worker):
MIT