Inflow MCP server
online · 100% uptimeai.inflowpay.app/inflow·v1.0.3·6 starsMCP Server for agents to onboard, pay, and provision services autonomously with InFlow
6 stars
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Inflow tools
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Public scan report
scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it
- –Code scanremote-only server, no package to scann/a
- Live reliabilityremote reachable in 368ms (auth required)20/20
- –Tool poisoningtools not inspected (endpoint requires auth); not countedn/a
- Auth qualityOAuth resource metadata advertised on 40115/15
- Maintenancelast push 166 days ago8/15
- Maintainer identitynamespace and repository owner differ; GitHub account older than a year6/10
How Inflow compares
Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 82/100
- higher than 63% of 48,255 servers
- Uptime
- 100%
- of our recent checks; the typical remote server answers 100%
- Response time
- 420 ms
- faster than 35% of 30,031 servers
- GitHub stars
- 6
- more than 85% of 28,688 servers
Install Inflow in Claude Code, Cursor or VS Code
claude mcp add --transport http inflow https://app.inflowpay.ai/mcp
What the publisher says
From the Inflow repository's README, as published. We do not edit it. Read it on GitHub
InFlow MCP Server
Connect your AI assistant to InFlow for managing payments, wallets, and transactions via the Model Context Protocol.
Quick Start
Server URL:
https://app.inflowpay.ai/mcpMCP Configuration:
{
"mcpServers": {
"inflow": {
"type": "http",
"url": "https://app.inflowpay.ai/mcp"
}
}
}What is MCP?
The Model Context Protocol (MCP) is an open standard that allows AI assistants — like Claude, ChatGPT, Cursor, and others — to connect directly to external services. Instead of copying and pasting information between your AI assistant and InFlow, MCP lets your assistant interact with InFlow on your behalf: checking balances, approving payments, managing policies, and more — all through natural conversation.
Think of it like giving your AI assistant a secure, authorized connection to your InFlow account.
What is InFlow?
InFlow is a payment and wallet platform that allows you to review and manage digital transactions. Whether you are a developer integrating payments into your application, a merchant accepting payments, or an individual managing a wallet, InFlow provides the tools to do so. Connecting your AI assistant to InFlow via MCP means you can manage your account conversationally, without needing to navigate the dashboard for every action.
What Can You Do with the InFlow MCP?
Once connected, your AI assistant can help you with a range of tasks, including:
- Balances — Check your current balances across currencies and wallets.
- Transactions — View transaction history and check transaction details.
- Deposit & Withdrawal — View deposit addresses, create withdrawal addresses, and initiate withdrawals.
- Policies — Create, update, and manage transaction policies that govern how your account operates.
- Approvals — Review, approve, or decline pending approval requests.
- Account — View your account details and profile information.
You interact with these capabilities using natural language. For example, you might ask your assistant:
- "What is my current balance?"
- "Do I have any pending approvals?"
- "Show me my transactions from the last week"
- "Create a policy that requires approval for transactions over $500"
Prerequisites
- An InFlow account. If you do not have one, you can register at app.inflowpay.ai.
- An AI assistant or MCP client that supports the Model Context Protocol (such as Claude, Cursor, VS Code, or any MCP-compatible client).
Setup
There are two ways to connect your AI assistant to InFlow: through your client's built-in marketplace, or by manually adding the connection.
Option 1: Find InFlow in Your Client's Marketplace
Many MCP clients have a built-in marketplace or connector directory where you can search for available services. To connect this way:
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Inflow: common questions
- Is Inflow MCP server safe?
- Mostly: it is graded B (82/100). Read the Inflow safety report
- How do I install Inflow?
- It runs remotely at app.inflowpay.ai. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
- Does Inflow need an API key?
- No key to paste: it signs you in with OAuth when your client connects.
- Is Inflow maintained?
- The last commit was 203 days ago (2026-04-15). The latest release is v1.0.3.
- Is Inflow up?
- 100% of our last 28 checks got an answer. We check remote servers about four times a day.
- How does Inflow compare with other MCP servers?
- safety score 82/100 (higher than 63% of 48,255 servers); uptime 100% (of our recent checks; the typical remote server answers 100%); response time 420 ms (faster than 35% of 30,031 servers). Full comparison.