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Agent MCP Hub

by blackaxgitversion 0.6.2i★ –iRuns on your computer
Registry nameio.github.blackaxgit/agent-mcp-hub

Install

Overview

Description from the maker (original English)

One MCP server bridging the Codex, Cursor, OpenCode, Claude, and Antigravity CLI agents

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

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": {
    "agent-hub": {
      "command": "npx",
      "args": [
        "-y",
        "agent-mcp-hub"
      ]
    }
  }
}

Run this in your terminal

claude mcp add agent-hub -- npx -y agent-mcp-hub

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "agent-hub": {
      "command": "npx",
      "args": [
        "-y",
        "agent-mcp-hub"
      ]
    }
  }
}

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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "agent-hub": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "agent-mcp-hub"
      ]
    }
  }
}

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.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account blackaxgit, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32678 servers in this category
  • Published to the registry more recently than 52% of the other 32678 servers in this category
  • Basic checks equal to or better than 100% of the other 32678 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Agent MCP Hub safe?

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.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

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).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.6.2) reached the registry 37 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Starreel

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago
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Starreel

by starreel

Turn a script into a finished, downloadable short-drama episode — via MCP or REST.

Runs on your computerUpdated today
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README from the maker

Open the README

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.

agent-mcp-hub

One MCP server that bridges multiple CLI coding agents — Codex, Cursor, OpenCode, Claude, and Antigravity — into any MCP client.

stdio only — by design. The hub ships no Docker image and no HTTP

transport (both were removed during the 0.5.x line). A containerised or remote

server cannot see the caller's repository path and cannot reuse the caller's

CLI logins — it would break the product contract on both halves. The hub runs

as a child process of your MCP client, on your machine, as you.

Tools

ToolDescription
codexDelegate a prompt to codex exec (prompt piped via stdin)
cursorDelegate a prompt to cursor-agent -p (prompt piped via stdin)
opencodeDelegate a prompt to opencode run
claudeDelegate a prompt to the Claude Code CLI (prompt piped via stdin)
agyDelegate a prompt to Google Antigravity (agy --print=…, prompt passed as a flag value)
run_allSame prompt to all agents in parallel, results side by side
list_agentsWhich agent CLIs are installed and on PATH
pingHealth check

Agent tools accept prompt (required), model, cwd, timeoutMs (total runtime cap, default 1800000 = 30 min), and idleTimeoutMs (inactivity cap, default 300000 = 5 min). See Long-running tasks & timeouts.

Known limitation: opencode prompts may not start with - (its CLI could parse them as flags); the tool returns an actionable error instead of guessing.

Choosing models per agent

Model ids are agent-specific and do not overlap. o3 means nothing to agy, gemini-3.6-flash-low means nothing to codex, and opencode namespaces its own (opencode/big-pickle). So a single model value is valid for at most one agent in a fan-out.

  • run_all takes `models` — a per-agent map. Agents you don't list fall back to model, then to their own CLI default.
  • review_change takes `runnerModel` and `reviewerModel`, so the agent writing the change and the agent judging it can use different engines *and* tiers. model remains a fallback for both.
{

"tool": "run_all", "arguments": { "prompt": "Explain the retry logic in src/exec.ts", "models": { "codex": "o3", "agy": "gemini-3.6-flash-low", "claude": "haiku" } } }

An unknown agent name in models is rejected with the list of enabled agents — a typo never silently falls back to the default model.

Where to find valid ids: opencode models, cursor-agent models and agy models list them. codex and claude have no such command — codex reads its default from ~/.codex/config.toml, and claude accepts the documented aliases (opus, sonnet, haiku, fable). Note claude models is not a subcommand: it is treated as a prompt, so its "model list" is generated text, not a source of truth.

Error handling

When a wrapped CLI fails, the hub classifies the failure and returns a clean, ANSI-free, actionable isError result — never a raw terminal dump — naming the class and the exact fix:

ClassExample remediation
not_installedinstall the CLI (e.g. npm i -g @openai/codex) / fix PATH
not_authenticatedcodex login · cursor-agent login · opencode auth login · claude → /login · agy → sign in on first run (or set the matching API key)
not_configuredset a model/provider in the CLI's config
timed_outraise timeoutMs, or check the agent/model is responsive
stream_stalledthe agent reached the network but its stream keeps dropping (e.g. cursor behind a TLS-intercepting proxy) — treat that agent as unavailable; raising timeoutMs will not help
server_busyretry shortly (upstream rate-limit, or the local agent-spawn queue is full)
tool_failuregeneric non-zero exit — the message includes (exit N) and a trimmed output tail

For example, an unauthenticated cursor no longer returns its ANSI "press any key to sign in" banner — it returns cursor is not authenticated … Fix: run cursor-agent login.

Review a change (review_change)

Runs a runner agent in a git cwd to make a change, captures the actual git diff of what changed, then has a reviewer agent judge that diff. Returns the runner's output, the diff (--stat), and a PASS / WARN / FAIL verdict with findings.

Inputs: runner, reviewer (agent names), prompt, cwd (must be a git worktree), optional runnerModel, reviewerModel, model (fallback for both), timeoutMs.

Key notes:

  • Cross-agent by design — e.g. codex writes, claude reviews.
  • Returns the concrete diff that the plain agent tools don't expose.
  • Newly-created (untracked) files are surfaced to the reviewer with their contents (bounded: 64 KiB per file, 50 files; excess is truncated and flagged). git diff alone would omit them entirely.
  • If the worktree was already dirty, the diff may include pre-existing changes (noted in the output).
  • Complements — does not replace — client-side stop-hooks or PR-time CI review.
  • The confirm gate (MCP_CONFIRM) applies.
  • The reviewer runs least-privilege — but how much that guarantees depends on the agent. The reviewer's prompt embeds an attacker-influenced diff, so it is run read-only rather than with the write grant the runner gets. Only two of the five are real restrictions:
ReviewerRead-only mechanismEnforced?
codex-s read-onlyYes — OS-level sandbox
claude--disallowedTools Write,Edit,…,BashYes — harness-level deny
cursor--trust --mode plan (no --force)No — model-advisory only
agypermission grant withheldPartly — headless auto-deny, not a sandbox
opencode*none available*No — unrestricted

Pick codex or claude as the reviewer if you want the restriction to be real. This is defense-in-depth alongside the nonce-fenced diff and the throwaway temp cwd; none of it is a sandbox.

{

"tool": "review_change", "arguments": { "runner": "codex", "reviewer": "claude", "prompt": "Add retry with exponential backoff to the API client", "cwd": "/Users/you/projects/my-app" } }

Prerequisites

Install and authenticate the CLIs you want to use (any subset works):

  • Codex: npm i -g @openai/codex && codex login
  • Cursor: curl https://cursor.com/install -fsS | bash && cursor-agent login
  • OpenCode: npm i -g opencode-ai && opencode auth login
  • Claude Code: npm i -g @anthropic-ai/claude-code && claude (first run logs in)
  • Antigravity: install the Antigravity CLI (e.g. brew install --cask antigravity-cli), then run agy once and sign in — it has no login subcommand and stores credentials in the OS keyring, so there is no API-key env var to set

Install

Recommended — global install (fast, reliable startup): install the pinned version once, then point your client at the agent-mcp-hub binary. Startup is instant and the client connects reliably.

npm i -g agent-mcp-hub@0.5.0
Claude Code
claude mcp add agent-hub -- agent-mcp-hub
Cursor / generic mcp.json
{

"mcpServers": { "agent-hub": { "command": "agent-mcp-hub" } } }

Zero-install alternative (npx)

No global install, but npx re-resolves the package on every launch, so first start is slower and can occasionally trip a client's connection-probe timeout (the server itself is fine — just retry). Prefer the global install for a persistent setup.

claude mcp add agent-hub -- npx -y agent-mcp-hub@0.5.0

mcp.json: "command": "npx", "args": ["-y", "agent-mcp-hub@0.5.0"]

Pre-release / fallback: To test an unreleased commit, run directly from

GitHub: npx -y github:blackaxgit/agent-mcp-hub# . This builds

from source on first fetch, so under npm v12+ you must allow the prepare

script.

Configuration

`MCP_AGENTS` — comma-separated allowlist of the agents to expose (codex,cursor,opencode,claude,agy). Unset or empty exposes all agents. Disabled agents get no tool and are absent from list_agents/run_all. An unknown name fails at startup with an error listing the valid names, so typos never silently disable an agent.

For stdio, set it in the client's mcp.json:

{

"mcpServers": { "agent-hub": { "command": "npx", "args": ["-y", "agent-mcp-hub@0.5.0"], "env": { "MCP_AGENTS": "codex,claude" } } } }

Confirm before running an agent — MCP_CONFIRM

Set MCP_CONFIRM=1 (values 1/true/on/all; default off) to require a confirmation before any agent tool — and run_all — actually spawns a CLI. The server sends a brief summary (agent · prompt · cwd · model) and waits: accept runs the agent, decline runs nothing and returns a terminal cancellation.

This uses the standard MCP elicitation capability, so it is client/IDE-agnostic — it works with any MCP client that supports form elicitation (Claude Code, Cursor, VS Code, Zed, Windsurf, custom SDK clients, …); the gate keys on the protocol capability, never a product name. Clients that don't support elicitation transparently run without a prompt (no hang, no error).

{

"mcpServers": { "agent-hub": { "command": "npx", "args": ["-y", "agent-mcp-hub@0.5.0"], "env": { "MCP_CONFIRM": "1" } } } }

Long-running tasks & timeouts

A complex agent task can run for many minutes. The hub bounds each run with two independent timers so a productive long run survives while a genuinely stuck one fails fast:

  • Idle (inactivity) timeout — idleTimeoutMs (per call) / MCP_AGENT_IDLE_TIMEOUT_MS (env), default 300000 (5 min). The timer resets on every chunk of output the CLI produces, so an agent that keeps working (streaming output) never trips it. An agent that goes silent — e.g. opencode stuck on an unreachable model backend — is killed after the idle window with an actionable "no output — the agent may be hung or its model/backend is unreachable" error, instead of burning the full cap.
  • Total runtime cap — timeoutMs (per call) / MCP_AGENT_TIMEOUT_MS (env), default 1800000 (30 min). A hard upper bound regardless of activity.

Whichever fires first kills the agent's process group. Tradeoff: the idle reset assumes the CLI streams intermediate output. codex and opencode do; claude -p, cursor-agent -p and agy --print may emit only the final result, so a long silent task on those can be idle-killed at 5 min — raise idleTimeoutMs / MCP_AGENT_IDLE_TIMEOUT_MS for such tasks, or rely on the total cap.

agy is the strongest case here: it emits its entire answer in one flush at the end (measured — every line of a 12-line reply arrived at the same instant), and the hub raises its internal --print-timeout to 48h so that agy's own 5-minute default can never truncate a run. The idle timer is therefore agy's only protection against a genuine hang; budget idleTimeoutMs accordingly for long autonomous agy tasks.

While an agent runs, the hub emits MCP progress notifications to clients that request them (_meta.progressToken) — live feedback during long runs. Note: on Claude Code (stdio) the per-server request timeout in .mcp.json (or the MCP_TOOL_TIMEOUT env var it honors) is a hard wall-clock that progress does not reset (default ~28h) — raise it if you lowered it below your longest run.

Upgrading

Global install: install the new version — the pinned agent-mcp-hub command in your MCP config picks it up on the next client start:

npm i -g agent-mcp-hub@0.6.0

npx (pinned): bump the pinned version in your MCP config — e.g. change agent-mcp-hub@0.5.0 to agent-mcp-hub@0.6.0 everywhere.

Always-latest (not recommended for shared configs): use `agent-

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