Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
Access and search Branch's official API documentation directly within any AI agent or client.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
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Works in Claude on the web, desktop and mobile:
https://docs.branchapp.com/mcpRun this in your terminal
claude mcp add --transport http ai https://docs.branchapp.com/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"ai": {
"url": "https://docs.branchapp.com/mcp"
}
}
}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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"ai": {
"type": "http",
"url": "https://docs.branchapp.com/mcp"
}
}
}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.
ChatGPT connects only to servers on the internet:
https://docs.branchapp.com/mcpMenu names can differ slightly by plan and over time.
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.
Tool names and descriptions exactly as the server reported them on Nov 6, 2026. The maker wrote them, not us; we show them as plain text.
list-endpointsLists all API paths and their HTTP methods with summaries, organized by path. Results can be passed directly into 'get-endpoint'.
get-endpointGets detailed information about a specific API endpoint, including security schemes and servers
search-endpointsPerforms 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'.
get-server-variablesGets the server variables for each server within a specific OpenAPI spec.
searchSearches through documentation with the given search query, returning a list of results with ID, title, and URL.
fetchGets detailed content for documentation by ID returned from the `search` tool.
list-webhook-eventsCall 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
branch-overviewCall 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 lifec
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
The registry name was verified with the GitHub account branch-docs, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Responded in 435 ms (HTTP 200)
No sign-in needed
Read 8 tool descriptions and found no hidden instructions to the AI
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 3 of 3 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.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (1.0.2) reached the registry 3 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Context7, Codebase Memory, Exa
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
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
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.
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:
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.
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:
{
"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.
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.
/dist directory in this repository and download the compiled .zip archive for your desired skill..zip file to activate it within your account.*Note: Ensure "Code Execution" is toggled on within your individual Claude workspace settings.*
To provision a skill globally across an entire enterprise workspace so individual users do not have to configure it manually:
.zip archive from the /dist folder./skills vs /distTo maintain open-source transparency while providing seamless deployment, this repository separates source materials from production assets:
SKILL.md) and contextual reference schemas. This is the development workspace where updates, code contributions, and peer reviews occur..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.*
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.