Prototype · Preview: every server in the official registry, synced every 30 minutes. Reviews and accounts come in a later step.
PopNx MCPMCP servers for people who use AI · explained in plain words

FerryCat

by GuoBugversion 0.5.0i★ –iRuns on your computer
Registry nameio.github.GuoBug/ferrycat

Install

Overview

Description from the maker (original English)

Contract-driven cross-host agent handoff, code review & verification harness via MCP & SQLite WAL

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: Developer tools

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": {
    "ferrycat": {
      "command": "npx",
      "args": [
        "-y",
        "ferrycat"
      ]
    }
  }
}

Run this in your terminal

claude mcp add ferrycat -- npx -y ferrycat

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "ferrycat": {
      "command": "npx",
      "args": [
        "-y",
        "ferrycat"
      ]
    }
  }
}

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": {
    "ferrycat": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "ferrycat"
      ]
    }
  }
}

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 GuoBug, 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 Developer toolsi

  • More stars than 0% of the other 1393 servers in this category
  • Published to the registry more recently than 93% of the other 1393 servers in this category
  • Basic checks equal to or better than 100% of the other 1393 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 FerryCat 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 (0.5.0) reached the registry 3 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: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

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

GitHub

by github

GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.

Computer or cloud★ 34,245MITUpdated 3 days ago
Install

Desktop Commander

by wonderwhy-er

MCP server for terminal commands, file operations, and process management

Runs on your computer★ 10,225MITUpdated 15 days ago
Install

Cloudflare MCP

by cloudflare

Cloudflare MCP servers

Runs in the cloud★ 4,446Apache-2.0Updated 14 months ago
Install

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.

FerryCat: Contract-Driven Cross-Host AI Agent Handoff Bus

English • 中文

-success?style=flat)

FerryCat (ferrycat) is a lightweight, deterministic cross-host AI agent handoff, code review, and verification harness built on the Model Context Protocol (MCP) and Node.js built-in node:sqlite (WAL mode).

Purpose-built to safely bridge isolated desktop IDE agent hosts (such as Google Antigravity, WorkBuddy, Claude Code, and Cursor) across separate OS processes—enabling Actor-Critic evaluation loops, static analysis gates, and SWE-bench-style patch verification without context drift or blind reviews on stale files.

📖 Deep Dive: Why I Started Building FerryCat: When Two AI Coding Hosts Live on the Same Desktop


Quick Glance (See It in 60s)

No IDE setup or config file edits required. Watch the entire deterministic loop execute inside an isolated sandbox in ~2 seconds:

npx ferrycat demo
⚡ FerryCat Zero-Config Sandbox Demo ⚡

✔ [1/4] Contract Dispatched Locked: src/calc.ts (sha256: ce3ba9a5...bc5d) ✔ [2/4] Contract Claimed Lease: 7424261d-9a3f-4a86-a7ff-de278c273e96 ✔ [3/4] Execution & Check Heartbeat 1 renewal | CHANGES_REQUESTED (loose equality caught) ✔ [4/4] Contract Completed TOCTOU: 0 dirty files | Status: COMPLETED (elapsed: 2.1s) 🎉 End-to-end multi-agent handoff verified successfully!

> 💡 Real benchmark: spins up an isolated child-process sandbox, triggers 1 real lease renewal, and runs a static analysis & verification gate that catches loose equality at `src/calc.ts:6`. Options (`--keep` / `--json` / `--no-color`) detailed in [Quickstart §0](#0-see-what-it-actually-does-first-ferrycat-demo).

Core Pain Points & Engineering Solutions

While the official MCP Tasks specification (2025-11 / 2026-07) addresses long-running operations within a single `Client ↔ Server` connection, it does not solve cross-host collaboration on a developer workstation:

  1. `stdio` Process Isolation: Desktop IDEs spawn local MCP servers as independent child processes with isolated memory spaces and distinct Node.js runtimes.
  2. Silent Blind Reviews on Stale Code (`Stale Context`): When handing off a task from Host A to Host B, unushed IDE buffers, branch switches, or mid-review edits cause the receiving agent to audit outdated code and produce plausible but invalid conclusions.
  3. Context Window Bloat: Pasting hundreds of lines of source code across chat windows duplicates token consumption on both ends.
  4. Unstructured Handoff Outputs: Free-form prose responses lack deterministic schema enforcement, making downstream consumption unreliable and prone to infinite retry loops.

FerryCat resolves these failure modes through a human-scheduled, contract-driven SQLite WAL bus:

[Developer]             [Host A: Antigravity]            [~/.ferrycat/mesh.db]            [Host B: WorkBuddy]
-- dispatch_contract() -------->Write status = SUBMITTED
(Full SHA-256 + Line Bounds)Store size / sha256 snapshot
-- 2. Switch IDE: "Poll" ----------------------------------------------------------------->
<-- poll_next_task() ----------
(Atomic claim changes===1
+ Verify disk SHA-256)

| | | |-- Read local files | | |<-- fulfill_contract() --------|-- Re-verify SHA-256 | | | (Validate Ajv JSON Schema | & submit JSON | | | -> status = COMPLETED) |

-- inspect_mesh_state() ------->Read-only query of COMPLETED
<-- Present structured res -

Key Architectural Pillars

1. Deterministic 7-State Machine

Every state transition is bound to an explicit SQL transaction with optimistic concurrency control (changes === 1), eliminating phantom or dangling states:

                  dispatch_contract()

│ ▼ ┌───────────┐ │ SUBMITTED │ (Queue TTL: default 1800s) └─────┬─────┘ │ poll_next_task() ┌────────────────┼────────────────┐ │ (Queue TTL) │ (Hash Match) │ (Missing / Size Diff / SHA-256 Mismatch) ▼ ▼ ▼ ┌───────────┐ ┌───────────┐ ┌───────────────┐ │ TIMED_OUT │ │ CLAIMED │ │ POINTER_STALE │ (Terminal: Rejects blind review) └───────────┘ └─────┬─────┘ └───────────────┘ ▲ │ (Exec TTL: default 300s) │ fulfill_contract() │ ┌────────────────┼────────────────┬────────────────┐ └──┤ (Exec TTL) │ (Schema Valid) │ (Retries > 2) │ (Mid-Review File Edit) │ ▼ ▼ ▼ │ ┌───────────┐ ┌───────────────────┐ ┌───────────────┐ └──────────│ COMPLETED │ │ VALIDATION_FAILED │ │ POINTER_STALE │ └───────────┘ └───────────────────┘ └───────────────┘

*Note on POINTER_STALE vs. SELF_CONTAINED Patch Mode (FC-202)*: POINTER_STALE is terminal whenever on-disk pointer files mismatch the dispatched SHA-256 baseline, except when a read-only contract (code_review / architecture_audit) attaches a verified unified git_patch (--patch-file) that satisfies all three gates: every declared file block carries at least one @@ hunk with real +/- content (EMPTY_PATCH_HUNKS / EMPTY_PATCH_CONTENT otherwise), and the touched paths cover every pointer file (PATCH_DOES_NOT_COVER_POINTERS otherwise). In that SELF_CONTAINED mode, poll_next_task returns patch_mode: "SELF_CONTAINED" with an explicit workspace_warning instructing the reviewer to inspect git_patch rather than stale on-disk files.

Holder-side lifecycle controls on a CLAIMED contract (all require agent_id === target_agent):

CallTransitionGuard rails
release_contractCLAIMED → SUBMITTED (tail of queue, fresh queue window)Resets extend_count (renewal budget is per holder) but preserves retry_count: the schema-failure circuit breaker is a contract-level quota, so releasing cannot launder retry budget. Refused past the absolute lifetime deadline. Max 3 releases per contract.
extend_ttlCLAIMED → CLAIMED (claimed_at = now)Must be called inside the active window; max 5 renewals per holder; refused once now ≥ created_at + 4 × queue_ttl_sec.
fail_contractCLAIMED → FAILED (terminal)Requires a reason, stored as WORKER_FAILED: . A report arriving after the window closed becomes TIMED_OUT with the reason attached.
2. Full-File SHA-256 Fingerprinting, Pre-Flight Verify & TOCTOU Soft-Failure Buffering (ADR-0004)
  • Dispatch Snapshot: dispatch_contract reads target files on disk, recording byte size, full-file sha256 (64 hex chars), first_line, and last_line. If a file was modified within the last 3 seconds, a warning is emitted to alert the requester of potential unsaved IDE buffers.
  • Claim Verification: poll_next_task verifies Existence -> Byte Size -> Full-File SHA-256 (never rejecting on mtime_ms alone to tolerate no-op IDE saves). On mismatch, it waits 150ms asynchronously (non-blocking, FC-203) and retries once to rule out transient IDE flushes before marking the contract POINTER_STALE — unless the contract is a read-only review/audit carrying a verified unified git_patch covering all pointer files (SELF_CONTAINED patch mode, FC-202), in which case it claims with an explicit workspace_warning and records __verified_on_disk__: "NO" and __unverified_pointers__ in verified_sha256.
  • Pre-Flight Verify (`verify_contract`): A strictly read-only check allowing workers or scripts to audit pointer health (valid: true vs valid: false with dirty files list) before submitting.
  • TOCTOU Soft-Failure Buffering: fulfill_contract checks on-disk pointer fingerprints. If dirty pointers are detected:
  • Strike 1 returns RETRY_NEEDED, leaves the contract CLAIMED, renews the execution window, and lists dirty files with recovery instructions (git stash / git checkout -- ).
  • Strike 2 transitions to terminal POINTER_STALE and saves the full submitted review payload into salvaged_result_json so review effort is never lost.
  • TOCTOU Race Narrowing: While no file-based system can eliminate the microsecond race between reading disk bytes and committing a database row, FerryCat's dual-verification (at poll and at fulfill) drastically narrows the TOCTOU window from minutes of blind review down to the sub-millisecond atomic SQL transition boundary.
3. Bounded Schema Validation (RETRY_NEEDED $\le 2$)
  • Outputs are validated against the contract's JSON Schema via cached Ajv validators, with errors flattened into concise single-line paths (e.g., ["/passed: must be boolean"]).
  • Up to 2 validation failures return RETRY_NEEDED while keeping the contract CLAIMED for immediate self-correction (each rejection also renews the execution window); a 3rd failure transitions the contract to terminal VALIDATION_FAILED.
4. Dual-Stage TTL & Read-Before-Write Sweeping
  • Separates queue_ttl_sec (default 1800s for SUBMITTED) from exec_ttl_sec (measured from claimed_at), preventing tasks claimed late in the queue window from timing out prematurely during execution.
  • exec_ttl_sec defaults are tiered by task_type: code_review / architecture_audit → 1800s (deep reasoning or human-in-the-loop), implementation / test_generation → 300s. An explicit exec_ttl_sec always wins.
  • poll_next_task executes a lock-free SELECT COUNT(*) pro

Only the beginning is shown; read the rest in the repo

Ask PopNx