Branch Docs

io.github.branch-docs由 GitHub 帳號 branch-docs 發布v1.0.2更新於 Nov 3, 2026

在任何 AI 代理程式或客戶端中直接存取和搜尋 Branch 的官方 API 文件。

AI 翻譯由 AI 模型根據下方的原文描述翻譯,可能有誤。

原文描述

Access and search Branch's official API documentation directly within any AI agent or client.

已驗證Streamable HTTP可網頁執行知識與記憶

概覽

Branch Docs 的託管 MCP 服務(docs.branchapp.com);無需登入;Streamable HTTP;8 個工具。

暫無 AI 概覽:以下資訊來自註冊中心條目和服務本身。

端點
docs.branchapp.com
最近檢查

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Branch Docs,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/io.github.branch-docs%2Fai/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "branch-docs": {
      "type": "http",
      "url": "https://docs.branchapp.com/mcp"
    }
  }
}

README

Branch AI & MCP Gateway

Welcome to Branch's centralized hub for public AI resources and integrations. This repository bridges the gap between AI assistants and the Branch platform by exposing two distinct integration vectors:

  1. Automated MCP Infrastructure: A live, cloud-hosted Model Context Protocol (MCP) server for real-time API reference discovery.
  2. Contextual Claude Skills: Specialized, pre-configured instruction sets that guide AI models through compliant engineering and onboarding patterns.

1. Automated Model Context Protocol (MCP) Server

Branch runs a managed cloud-native MCP server directly through our core documentation platform. This server securely exposes read-only tools allowing AI agents to dynamically query, search, and parse the live Branch API reference.

Because this is hosted via the cloud, there is no local environment configuration required—no local runtime dependencies, Node modules, scripts, or manual compilation.

Integration & Configuration

To expose Branch's documentation tools to an MCP-capable client (such as Claude Desktop), add the endpoint to your ecosystem configuration file.

For Claude Desktop, append the following block to your configuration schema (~/Library/Application Support/Claude/claude_desktop_config.json on macOS, or %APPDATA%\Claude\claude_desktop_config.json on Windows) and restart the application:

json
{  "mcpServers": {    "branch-docs": {      "type": "http",      "url": "https://docs.branchapp.com/mcp"    }  }}

Once initialized, your AI assistant will programmatically discover, surface, and execute the server's documentation lookups autonomously during active conversations.


2. Enterprise Claude Skills (Manual Provisioning)

The /skills directory contains packaged Claude Skills. These are explicit, highly structured behavioral guardrails that train an AI model to architect Branch integrations safely and correctly (e.g., properly routing sensitive KYC data outside of partner applications, utilizing standard webhooks, and optimizing global payout architectures).

Important Deployment Note

Unlike the MCP Server, Claude Skills do not self-load. Due to the sandboxed, contextual design of LLM workspaces, an AI assistant cannot discover, activate, or persist these instructions simply by reading or crawling this repository. Connecting the MCP server does not import these skills; they operate on a separate infrastructure layer. They must be manually uploaded into your Claude workspace environment using the steps below.

Workspace Deployment (Individual Accounts)

  1. Navigate to the /dist directory in this repository and download the compiled .zip archive for your desired skill.
  2. In your Claude interface, open Customize ➔ Skills.
  3. Upload the downloaded .zip file to activate it within your account. Note: Ensure "Code Execution" is toggled on within your individual Claude workspace settings.

Enterprise Distribution (Organization-Wide)

To provision a skill globally across an entire enterprise workspace so individual users do not have to configure it manually:

  1. An Organization Owner must navigate to Organization Settings ➔ Skills.
  2. Upload the target .zip archive from the /dist folder.
  3. The skill will automatically cascade down and activate for all registered team accounts under the corporate domain.

Repository Structure: /skills vs /dist

To maintain open-source transparency while providing seamless deployment, this repository separates source materials from production assets:

  • /skills (Source Framework): Contains editable, human-readable markdown manifests (SKILL.md) and contextual reference schemas. This is the development workspace where updates, code contributions, and peer reviews occur.
  • /dist (Production Builds): Contains the compiled, ready-to-upload .zip deployment packages. Each archive bundles the corresponding markdown source and linked assets into a single-step upload package compatible with Claude's ingestion engine.

When source files in /skills are modified and merged, production artifacts in /dist are compiled automatically via automation workflows to maintain absolute parity.


Production-Ready Skills Matrix

  • branch-onboarding-expert Establishes strict guardrails for handling Branch worker onboarding and payout flows. Strategically guides developer models away from high-risk or legacy endpoints that mishandle PII/KYC data, forcing alignment with Branch's secure hosted onboarding screens.

  • branch-integration-audit An autonomous code review engine. When fed active integration files or code snippets, it runs a structured compliance check, generating a definitive report highlighting structural vulnerabilities, integration warnings, and passing architectural patterns.


Core Client Compatibility

The skills provided in this hub are optimized for the SKILL.md syntax native to Anthropic's Claude ecosystem. While the underlying functional logic and compliance guidelines remain universally applicable across any generative AI framework, the explicit setup, ingestion, and execution instructions detailed above are tailored exclusively to Claude workspaces.

來源:README.md,提交 aee8909

工具

8

list-endpoints

List API Endpoints

Lists all API paths and their HTTP methods with summaries, organized by path. Results can be passed directly into 'get-endpoint'.

無需輸入參數。

get-endpoint

Get Endpoint Details

Gets detailed information about a specific API endpoint, including security schemes and servers

輸入參數path必填method必填

search-endpoints

Search API Endpoints

Performs a deep search through paths, operations, and parameters to discover relevant API endpoints. Use this tool to find specific API capabilities, required parameters, or data models based on search keywords. Results can be passed directly into 'get-endpoint'.

輸入參數pattern必填

get-server-variables

Get Server Variables

Gets the server variables for each server within a specific OpenAPI spec.

無需輸入參數。

fetch

Fetch Documentation Page

Gets detailed content for documentation by ID returned from the `search` tool.

輸入參數id必填

list-webhook-events

List Webhook Events

Call this when the user asks about Branch webhooks, events, notifications, or callbacks — including which events exist, what data an event contains, or which event fires at a given point in worker onboarding or payment. Returns the complete catalog of all 22 Branch webhook events with their payload fields. Use the fetch tool with a listed doc id to get full details and a JSON example for a specific event.

無需輸入參數。

branch-overview

Branch Overview

Call this when the user is new to Branch or is asking what Branch is, what it does, how its core objects relate (organizations, workers, wallets, payment profiles, disbursements), or where to begin an integration. Returns a one-page orientation: the object model, the worker lifecycle from onboarding through payment, the two integration approaches, and the sandbox and production environments. For specific procedures or API details, use search, fetch, and get-endpoint instead — this tool is orientation only.

無需輸入參數。

版本歷史

3
  1. v1.0.2最新Nov 3, 2026
  2. v1.0.1Nov 3, 2026
  3. v1.0.0Sep 16, 2026

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