Node.js/TypeScript MCP server for Atlassian Confluence. Provides tools enabling AI systems (LLMs) to list/get spaces & pages (content
Vectree is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
What it does
Search and read ~95,000 interactive concept diagrams that explain how things work — visually.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http vectree-mcp https://vectree.io/mcp
# 2 — ask your agent for something these tools do
# get_collection, get_diagram, get_learning_path and 3 more
Vectree costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it.
claude mcp add --scope user --transport http vectree-mcp https://vectree.io/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
6 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
Fetch one Vectree collection: its description and the diagrams it contains, in curated order. A collection is an editor-assembled group of Vectree's labelled schematics around one theme — a book shelf, a system map, a skill tree or a set of deep lore. This tool returns the whole group, so you do not need to fetch the page. Use it after list_collections, or whenever you already know a collectio
| Parameter | Type | Required | Notes |
|---|---|---|---|
| slug | string | yes | Collection slug, e.g. the slug: of a list_collections result or the last segment of a vectree.io/explore/... URL. |
Fetch the full content of one Vectree diagram: every labelled node with its explanation, a step-by-step walkthrough when the diagram is animated, plus image URLs and links to the diagrams its nodes lead to. Vectree explains how things work as zoomable, labelled schematics; this tool returns the complete text of one of them, so you do not need to fetch the page. Use it after search_diagrams to
| Parameter | Type | Required | Notes |
|---|---|---|---|
| slug | string | yes | Diagram slug, e.g. the slug: of a search_diagrams result or the last path segment of a vectree.io/c/... URL. |
Fetch one Vectree learning path: its ordered steps, each naming the diagram that step teaches. A learning path is a curated sequence of Vectree's labelled schematics that works through a subject from the fundamentals upward. This tool returns the whole sequence in order, so you do not need to fetch the page. Use it after search_learning_paths, or whenever you already know a path slug. Every st
| Parameter | Type | Required | Notes |
|---|---|---|---|
| slug | string | yes | Learning path slug, e.g. the slug: of a search_learning_paths result or the last segment of a vectree.io/path/... URL. |
List Vectree's curated collections — hand-assembled groups of diagrams: book shelves, system maps, skill trees and deep lore. Vectree explains how things work as zoomable, labelled schematics. A collection is an editor-curated set of them around one theme, so it is the best way to see what Vectree covers when you have no specific query yet. Use this to browse, to answer "what is on Vectree?", or
| Parameter | Type | Required | Notes |
|---|---|---|---|
| type | string | no | Optional filter to one kind of collection: book_shelf, system_map, skill_tree, deep_lore or curated. Omit it to list them all. |
Search Vectree's library of ~95,000 interactive concept diagrams by meaning, not keywords. Vectree explains how things work as zoomable, labelled schematics — each diagram breaks a topic into nodes you can read or drill into. Use this when the user wants a diagram, a visual explanation, a systems overview, or a map of how the parts of something fit together. Describe the topic in natural language
| Parameter | Type | Required | Notes |
|---|---|---|---|
| limit | integer | no | How many diagrams to return, 1-10. Defaults to 5. |
| query | string | yes | What to explain, in natural language — e.g. "how TCP congestion control works". |
Search Vectree's curated learning paths — ordered sequences of diagrams that teach a subject from the ground up, one step at a time. Vectree explains how things work as zoomable, labelled schematics. A learning path strings a set of those diagrams into a syllabus, so a reader moves from the fundamentals of a subject to its harder parts in a deliberate order. Use this when the user wants to *lear
| Parameter | Type | Required | Notes |
|---|---|---|---|
| limit | integer | no | How many learning paths to return, 1-10. Defaults to 5. |
| query | string | yes | The subject the user wants to learn, in natural language — e.g. "learn digital signal processing from scratch". |
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install Vectree or to call it, at any volume.
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
This listing is an address its publisher runs, and you connect to it directly — this marketplace is not in the path. The scanner reads packages and public source, and an address is neither. So there is no grade — not a withheld one, an unmeasured one.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 1.0.0.
No release note was published with this version.
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Any signed-in account that does not publish Vectree can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.