Eclipse Dispatch MCP

Name: Eclipse Dispatch MCP
Author: CYAN-ECLIPSE-TECHNOLOGIES-LLC

by CYAN-ECLIPSE-TECHNOLOGIES-LLCversion 0.1.1i★ –iRuns on your computer

Registry nameio.github.CYAN-ECLIPSE-TECHNOLOGIES-LLC/dispatch

Install

Overview

Description from the maker (original English)

Drafts once, syndicates drafts everywhere sanctioned, unifies the analytics. Never publishes

PopNx MCP’s three pillars

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

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

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: Marketing & social media

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

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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": {
    "dispatch": {
      "command": "uvx",
      "args": [
        "eclipse-dispatch"
      ]
    }
  }
}

Run this in your terminal

claude mcp add dispatch -- uvx eclipse-dispatch

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "dispatch": {
      "command": "uvx",
      "args": [
        "eclipse-dispatch"
      ]
    }
  }
}

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": {
    "dispatch": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "eclipse-dispatch"
      ]
    }
  }
}

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 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account CYAN-ECLIPSE-TECHNOLOGIES-LLC, 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 Marketing & social mediai

More stars than 0% of the other 2954 servers in this category
Published to the registry more recently than 77% of the other 2954 servers in this category
Basic checks equal to or better than 100% of the other 2954 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 Eclipse Dispatch MCP 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 (0.1.1) reached the registry 10 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

Alternatives

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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.

Eclipse Dispatch MCP

Powered by Cyan Eclipse Technologies — https://cetech.ai

Eclipse Dispatch — the newsletter layer above the platforms: it drafts once and syndicates the drafts to every sanctioned platform, unifies the analytics, and watches your own subscriptions like a portfolio. It never publishes without approval, and it never scrapes.

Why this exists

A publisher multi-homed across beehiiv, Ghost, and Substack writes once and re-enters everywhere, then reads three dashboards with three different definitions of an "open." Each platform's own tooling stops at its own wall: Substack's official MCP is read-only analytics gated to Bestseller admins; beehiiv's official MCP drafts into beehiiv only. Dispatch is the cross-platform layer none of them will build — one canonical draft, per-platform drafts via sanctioned routes, analytics unified without silent blending, and review-first as a property of the code, not a policy memo.

Status — honest labels

v0.1.0, phases D0 + D1-core. Bench pending — no certification claimed. Local stdio transport, Python stdlib only. Adapters run against shipped fixtures and local stub HTTP servers shaped like the real APIs — nothing in this build contacts a platform. Live wiring is owner-gated Wave 2: the beehiiv signup is an open owner item, and no Ghost instance runs here. The reader face (spec §5, phase D2 — subscription portfolio, renewal radar, engagement truth) is not in v0.1; neither is the §4.6 unofficial-endpoint module, which the spec recommends not building in v1 at all.

Tools (6)

Tool	What it does
`draft_create`	Create the canonical draft (title, body, subtitle, `canonical_url` pointing home, tags, audience, per-platform variants). Versioned and hash-bound: returns the `content_hash` approval will bind to. Re-creating an existing `draft_id` makes a new version and resets approval to none.
`draft_preview`	The review artifact: per-platform rendered previews plus every adaptation diff vs the canonical draft — variant overrides and platform constraints (Substack = paste pack; beehiiv = draft-only, publish in-app).
`draft_approve`	Record owner approval; returns a token bound to the content hash.
`syndicate_drafts`	Fan the approved draft out: beehiiv/Ghost drafts via the API-shaped adapters; Substack gets a paste pack (local files the owner posts in-app). Requires the approval token and an un-invalidated hash. Receipt per platform.
`analytics_report`	D0 unified analytics, read-only. Figures normalized by metric key, each carrying platform provenance + the platform's own definition. A combined figure appears only where definitions are identical across sources; otherwise `combined: null` flagged `DEFINITIONS_DIFFER` — flagged, never averaged.
`receipt_list`	Hash-chained receipts (drafts, approvals, syndications, analytics runs) + chain verification.

The invariants (encoded + tested)

Hash-bound approval. Approval binds to the canonical draft's content hash. *Any* post-approval edit — a new version, or a silent in-place tamper — invalidates it; syndication recomputes the hash and refuses by name. There is no path from "edited" to "sent" that passes through a stale approval.
The beehiiv adapter has no publish method. Deliberate, mirroring the platform's own design (its official MCP also stops at drafts; publishing is the publisher's in-app act). A unit test asserts the method's absence. The server exposes no publish tool at all — no auto-publish, at any tier, for any platform.
The Substack adapter is read-only. No sanctioned write surface exists, so write attempts raise a named refusal (ReadOnlyRefusal: "Substack adapter is READ-ONLY…"). Substack receives paste packs, never writes. The spec's unofficial-endpoint module is not built (spec decision 3 recommendation: not in v1) — its absence changes nothing.
Analytics never blend silently. Three platforms define "open rate" over three different populations (the fixtures say so, in each definition). Dispatch labels every figure and refuses to average across definitions.
No scraping. Public RSS of the owner's *own* publication is consumption as offered; bulk extraction does not exist here (spec §7).

Receipts

Draft creations, preview packs, approvals, per-platform syndications, and analytics runs append hash-chained receipts — append-only and machine-verifiable (verify_receipt_chain); tampering with any entry breaks the chain and is detected by test.

Run it

python3 server.py                      # MCP over stdio, stdlib only

python3 smoke.py # end-to-end smoke over real stdio (temp state, fixture adapters) python3 -m unittest discover -s tests # 15 tests

State persists in data/state.json beside the server (override with ECLIPSE_DISPATCH_STATE); paste packs land in data/paste-packs/. data/ is gitignored. Adapter base URLs can be pointed at stub (or, in Wave 2, real) endpoints via ECLIPSE_DISPATCH_BEEHIIV_URL / ECLIPSE_DISPATCH_GHOST_URL; with none set, in-process fixture transports answer.

Fixtures

fixtures/ ships per-platform analytics (each metric with the platform's own name and definition — the beehiiv and Ghost revenue figures deliberately use *different* definitions, period gross vs MRR, so the no-blending rule has something honest to catch) and substack_feed.xml, the owner's own publication RSS in fixture form. Stub servers shaped like the beehiiv v2 API and the Ghost Admin API live in adapters.py and are exercised over real local HTTP by the tests.

Roadmap (per spec)

D2 — reader face: subscription portfolio graph, renewal radar, engagement truth, cancel prep (own data only, strictest data tier).
D3 — Substack depth *as the sanctioned surface grows* — design waits for sanctioned writes; no scraping milestone exists.
Wave 2 (owner-gated) — live beehiiv wiring after the owner's signup; live Ghost against a real instance.

License / attribution

A Cyan Eclipse Technologies product. The "Powered by Cyan Eclipse Technologies" attribution travels with it.

Eclipse Dispatch MCP

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Marketing & social mediai

Common questions

Alternatives

MCP YouTube Transcript

Google Analytics MCP

BibiGPT YouTube Video Summarizer

README from the maker

Eclipse Dispatch MCP

Why this exists

Status — honest labels

Tools (6)

The invariants (encoded + tested)

Receipts

Run it

Fixtures

Roadmap (per spec)

License / attribution