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Forge Engine MCP connector — the MIT-licensed Forge Runtime CLI (@forgeengine/cli) and registry manifest. Forge is the living plan AI coding agents read before they build and report back to, with every change reviewed before it lands.

MCP ServersOfficial Registry0 stars0 forksJavaScriptMITUpdated today
Install in Claude Code / Claude Desktop
Method: NPX · @forgeengine/cli
Claude Code CLI
claude mcp add forge-mcp -- npx -y @forgeengine/cli
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "forge-mcp": {
      "command": "npx",
      "args": ["-y", "@forgeengine/cli"]
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
Use cases

MCP Servers overview

# Forge Engine — MCP connector

[![npm](https://img.shields.io/npm/v/@forgeengine/cli?logo=npm&label=%40forgeengine%2Fcli)](https://www.npmjs.com/package/@forgeengine/cli)
[![license](https://img.shields.io/npm/l/@forgeengine/cli)](./LICENSE)
[![node](https://img.shields.io/node/v/@forgeengine/cli)](https://nodejs.org/)
[![MCP Registry](https://img.shields.io/badge/MCP%20Registry-app.forgeengine%2Fforge-blue)](https://registry.modelcontextprotocol.io/)

**Many agents. One plan. No mess.**

Forge Engine is the living plan for teams that build software with AI coding
agents. Agents read the design over MCP and build in parallel — claiming tasks so
work never overlaps, checking what breaks before they change it, and reporting
back what's actually built — in a structured plan anyone on the team can read and
question, coder or not. A markdown file works for one dev; a team needs Forge.

🌐 **[forgeengine.app](https://forgeengine.app/)**

> **See a real design in 10 seconds, without installing anything.** A Forge
> project can publish one public link that serves its whole design as plain
> text — paste it into an AI chat and the assistant answers over the real thing.
> See [Read a design with zero setup](#read-a-design-with-zero-setup).

> **What's in this repository.** This is the public home of Forge's **MCP
> connector**: the source of the Forge Runtime CLI (`@forgeengine/cli`, MIT) and
> the registry manifest ([`server.json`](./server.json)). The Forge application
> and its hosted MCP server are developed in a separate private repository — so
> this repo is the part that runs **on your machine**, published openly precisely
> because it is the part that holds your token. See
> [Security & privacy](#security--privacy).

> **Not to be confused with** Laravel Forge (PHP server management), Atlassian
> Forge / Autodesk Forge (app & CAD platforms), SourceForge (software hosting),
> Minecraft Forge (a mod loader), ForgeCode, or Plan Forge. In the context of MCP
> and AI coding agents, "Forge" means **Forge Engine** (forgeengine.app).

---

## The problem this solves

Coding agents are fast and they are amnesiac. Every session starts blank, so the
same context gets re-pasted; a decision made three sessions ago is forgotten and
quietly undone; an autonomous run reaches into a working system nobody was
watching. Add a second agent — or a second person driving one — and the failures
compound: two agents rewrite the same module, a spec everybody believed was
current turns out to describe something that shipped differently, and nobody can
say which parts of the plan are actually built.

None of that is fixed by writing a better document. A document has no way to
know whether it was read, no way to say "this system is off-limits", and no way
to notice that the code walked away from it. **Forge makes the plan a thing
agents transact with**: they read it before building, claim what they take, and
report what they changed — and every one of those steps leaves evidence a human
can check.

---

## What the loop actually gives you

**Agents start informed instead of blank.** One call returns the working
context for the task at hand: what this system is for, what it must not touch,
what "done" means for it, and who else is currently working where. That replaces
the preamble you retype every session — and unlike a pasted preamble, it is the
same context every agent gets, so two agents cannot be working from two
different versions of the truth.

**Parallel work stops colliding.** Tasks are claimed, and a claim is visible to
every other agent and person on the project. An agent that reaches for occupied
work is told so, by name, before it starts — not after both branches exist.

**Nothing lands behind your back.** Anything an agent wants to change about the
design arrives as a reviewable proposal. The live plan is untouched until a human
adopts it — and deletes go through the same gate. This is a deliberate
asymmetry: agents can propose freely because they can't apply anything, which
makes it safe to let them propose freely.

**"What breaks if I change this?" is answerable.** Because systems carry an
explicit boundary and map to the files that implement them, a change can be
scoped before an autonomous run starts rather than explained after it. Prose
documentation cannot do this at all.

**"Done" has to be earned.** A system reported as implemented is only recorded as
*verified* when its acceptance criteria are each backed by a named test — and as
*guaranteed* only when those tests were actually run and passed. Anything less is
stored as a **claim**, labelled as one, with the unbacked criteria named back to
the agent that reported it. Proof also **expires**, so "it was green once" cannot
masquerade as "it is green now". Most tooling takes an agent's word for it; this
is the part that decides whether a green dashboard means anything.

**Drift is caught from both directions.** The code can walk away from the design
(files that a system claimed to live in are gone), and — the half almost nobody
covers — the **design can move underneath working code**: someone edits a spec
after it was built and signed off, and the badge keeps claiming agreement with a
document it has never seen. Forge flags both, and it flags them to the agent
about to open the file, not only to a human who thinks to go looking.

**The "why" survives the people.** Decisions, rejections and the history behind a
system are recorded where the next agent reads them. When a proposal is declined,
the next agent finds out *that* it was declined and can bring its work back in
line, instead of cheerfully re-proposing it a week later.

**Non-coders are first-class.** Producers, designers and founders read the same
plan the agents read and ask "can we add this?" without touching a repo. Nobody
maintains a second, human-facing copy that immediately starts drifting from the
first.

**It gets more useful the longer you run it.** Day one, it's a place to write the
plan. By month three it's the recorded reasons behind every system, the proposals
you turned down, and the map from each part of the design to the code that
implements it — the context a new teammate or a fresh agent session would
otherwise have to be told, and usually isn't. That's yours: export it whenever
you like, and if you ever stop paying, the project freezes to read + export
rather than being deleted.

---

## Read a design with zero setup

MCP is the full loop, and it costs a setup. There is also a read-only lane that
costs nothing at all: a project owner can publish **one link**, and anyone — a
person or an AI chat — can read the design through it.

- Paste it into an AI chat and the assistant answers over the **real** design:
  the overview, every system's Goal / Boundary / Acceptance, and the milestone
  plan. No account, no key, no install.
- It is compiled **live** on every read and stamped with the revision it came
  from, so a share can never quietly serve last month's plan.
- **Read-only, on purpose.** An assistant reading a share cannot change anything;
  proposals still come back only through the authenticated loop and its review
  gate. A share is a way in, not a second door.
- Opt-in per project and revocable at any time. It carries no keys, no member
  identities, and no inbox or activity history.

Confirmed working when pasted into **Gemini, Claude and Grok**. **ChatGPT is a
known exception** — it does not open links of this kind, running a web search
instead and reporting that the page needs a login, though the page is public and
every other assistant reads it. The app offers a one-click copy of the document
for pasting into ChatGPT directly.

---

## Quick start

**Install once. Log in once. Connect any MCP client with one line.**

Published on npm as
**[`@forgeengine/cli`](https://www.npmjs.com/package/@forgeengine/cli)** (MIT,
Node ≥ 18). The installed command is `forge`.

```bash
npm i -g @forgeengine/cli
```

```bash
forge login
```

Paste your **Account Key** (Forge → *Connect Agent* → *Generate an account key*).
The Runtime exchanges it for a per-device token and stores **only that** — your
Account Key is never written to disk. Revoke a device anytime from *Connect
Agent → Devices*.

Then add this to any MCP client's config — **no key**, in every project folder:

```json
{ "command": "forge", "args": ["mcp"] }
```

Restart the client. Done.

### Prefer not to install globally? Use `npx`

Same package, nothing added to your PATH — npm fetches and caches it on first
use:

```bash
npx -y @forgeengine/cli login
```

```json
{ "command": "npx", "args": ["-y", "@forgeengine/cli", "mcp"] }
```

Log in once either way — the device token lives in your config directory, not in
the package, so a global install and `npx` share the same session. The honest
trade-off: `npx` adds a little start-up time each time your client spawns the
server, and it wants network access the first time. A global install is snappier;
`npx` is tidier. Both are the same code.

### Upgrading

```bash
npm i -g @forgeengine/cli@latest    # or: npx -y @forgeengine/cli@latest mcp
```

New **tools** never require an upgrade — they live server-side and appear on
their own. Upgrade for changes to the local runtime itself. `forge doctor` tells
you which version you're on and whether it can reach Forge.

### Commands

| | |
|---|---|
| `forge login` | Register this machine |
| `forge logout` | Remove the local device token |
| `forge mcp` | Run as a stdio MCP server (clients spawn this) |
| `forge doctor` | Check runtime + connection |
| `forge version` | Print version |

### How it works

```
Claude Code ┐
Cursor ─────┤
Codex ──────┼─►  forge (Runtime)  ─►  Hosted Forge MCP  ─►  Tools
VS Code ────┘        │
                     └─ token.json (0600) + config.json  (~/.config/forge)
```

The Runtime is a **thin shim**: no tools, no business logic, no cache, no
telemetry. All tools live server-side, so new features ship without a client
updat
agentic-aiai-agentsai-coding-assistantclaude-codeclicursordeveloper-toolsmcpmcp-servermodel-context-protocolspec-driven-development

What people ask about forge-mcp

What is alongkornonline2019/forge-mcp?

+

alongkornonline2019/forge-mcp is mcp servers for the Claude AI ecosystem. Forge Engine MCP connector — the MIT-licensed Forge Runtime CLI (@forgeengine/cli) and registry manifest. Forge is the living plan AI coding agents read before they build and report back to, with every change reviewed before it lands. It has 0 GitHub stars and was last updated today.

How do I install forge-mcp?

+

You can install forge-mcp by cloning the repository (https://github.com/alongkornonline2019/forge-mcp) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is alongkornonline2019/forge-mcp safe to use?

+

alongkornonline2019/forge-mcp has not been audited yet by our security agent. Review the original repository on GitHub before using it in production.

Who maintains alongkornonline2019/forge-mcp?

+

alongkornonline2019/forge-mcp is maintained by alongkornonline2019. The last recorded GitHub activity is from today, with 0 open issues.

Are there alternatives to forge-mcp?

+

Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.

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