Blindpay MCP
B

Blindpay MCP

The official MCP server of BlindPay, providing AI assistants with stablecoin payment API integration, supporting functions such as creating recipients, processing cross - border payments, managing virtual accounts, and blockchain wallets.
2.5 points
6.1K

What is the BlindPay MCP Server?

The BlindPay MCP Server is a bridge that connects AI assistants with the BlindPay stablecoin payment platform. It allows AI assistants (such as Cursor, Claude Code, etc.) to directly access BlindPay's global payment infrastructure and perform financial operations such as creating recipients, processing payments, and querying exchange rates without manually logging in to the platform or writing complex code.

How to use the BlindPay MCP Server?

Before use, you need to obtain the BlindPay API key and instance ID, and then configure the MCP server in the supported AI tools. After the configuration is completed, the AI assistant can understand and execute natural language instructions related to payments and automatically call the corresponding API functions.

Applicable scenarios

Suitable for AI application scenarios that require the integration of global payment functions, such as automatically processing cross - border salary payments, creating collection accounts for e - commerce platforms, querying real - time exchange rates for financial planning, and managing corporate payment flows.

Main features

Recipient management
Create and manage recipient information for individuals or enterprises, supporting multiple authentication and compliance checks.
Payment processing
Process multi - chain payments (payments and collections), supporting the transfer of stablecoins such as USDC on multiple blockchains.
Exchange rates and quotes
Obtain real - time foreign exchange rates and create accurate quotes for cross - border payments, including handling fees and estimated arrival amounts.
Account management
Manage virtual accounts and blockchain wallets, supporting functions such as account balance queries and transaction history views.
Payment channels
View and configure available payment channels (payment rails) to optimize payment paths and costs.
Webhook configuration
Set up and manage Webhooks to receive real - time payment status updates and event notifications.
API key management
Create and manage API keys to control access permissions in different environments.
Advantages
Seamless integration: AI assistants can directly call payment functions without switching tools or manual operations
Global coverage: Supports multiple national currencies and payment methods, handling cross - border payments
Real - time operation: Exchange rate queries and payment processing are real - time
Safe and reliable: Based on BlindPay's enterprise - level security infrastructure
Multi - chain support: Compatible with multiple mainstream blockchain networks
Easy to configure: Supports one - click installation of mainstream AI development tools
Limitations
Requires a BlindPay account: You must first register on the BlindPay platform and create an instance
Depends on network connection: All operations require a stable Internet connection
AI tool compatibility: Only supports AI tools that implement the MCP protocol
Learning curve: Non - technical users may need time to familiarize themselves with payment - related concepts

How to use

Register a BlindPay account
Visit the BlindPay official website to create an account and complete the identity verification process.
Create a development instance
Create a development instance in the BlindPay console for testing and development.
Get the API key and instance ID
Create a new API key on the API Keys tab of the instance and copy the instance ID (format: in_xxxxxxxxxxxx) from the URL.
Install dependencies
Ensure that Node.js and npm are installed on the system. You can check the versions through commands.
Configure the MCP server
Select the corresponding configuration method to add the MCP server according to the AI tool you are using.

Usage examples

Cross - border salary payment
A company needs to pay salaries to overseas employees. The AI assistant can automatically calculate the exchange rate, create payment instructions, and process the transfer.
E - commerce platform collection
An e - commerce platform needs to create collection accounts for international buyers, supporting multi - currency settlement.
Financial report generation
The finance team needs to view payment flows and statistical information for a specific period.
Exchange rate monitoring
Enterprises need to monitor exchange rate fluctuations and choose the best time for large - scale foreign exchange transactions.

Frequently Asked Questions

Is the BlindPay MCP Server free?
Which blockchains and stablecoins are supported?
How long does payment processing take?
How to ensure payment security?
Can it be used in a production environment?
What if the AI assistant executes an incorrect payment?

Related resources

BlindPay official documentation
Complete guide to using the BlindPay platform and API documentation
API reference documentation
Detailed API endpoint descriptions and request examples
GitHub repository
MCP server source code and issue tracking
Discord community
Communicate with other developers and get technical support
Twitter/X
Follow the latest updates and announcements
npm package
npm package page for the MCP server

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "blindpay": {
      "command": "npx",
      "args": ["-y", "@blindpay/mcp"],
      "env": {
        "BLINDPAY_API_KEY": "your-api-key-here",
        "BLINDPAY_INSTANCE_ID": "your-instance-id-here"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
5.4K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
6.3K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
5.4K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
5.6K
4 points
P
Paperbanana
Python
7.9K
5 points
F
Finlab Ai
FinLab AI is a quantitative financial analysis platform that helps users discover excess returns (alpha) in investment strategies through AI technology. It provides a rich dataset, backtesting framework, and strategy examples, supporting automated installation and integration into mainstream AI programming assistants.
7.3K
4 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
6.7K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
6.7K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
20.7K
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
25.1K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
36.1K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
73.9K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
33.0K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
65.8K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
21.2K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
98.5K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase