Quick facts
- Best for
- AI agents handle payments and spend controls.
- Pricing
- Freemium
- Editor rating
- 4.5 / 5
- Community saves
- 0
About Slash
Generated by ChatGPT Slash for Agents is an innovative application of commercial AI, enabling AI agents to conduct autonomous financial operations such as creating cards, setting spending limits, and sending payments. This system uses the Model Context Protocol (MCP), a standard for AI-to-tool communication. The Slash MCP server allows any MCP-compatible AI agent to interact with the full Slash financial platform. It employs RSA-OAEP encryption to secure card data and implements human-in-the-loop approval, requiring human permission for financial operations, which ensures additional safety. AI agents using Slash for Agents have access to the robust suite of functionality provided by the full Slash platform including cards, payments, accounts, and treasury operations. Moreover, agents can set spending constraints per card or per group to accommodate various business needs. Spend controls can be updated as per shift in business requirements. The solution is designed with a Security-first approach that utilizes RSA-OAEP encryption, allowing agents to access only tokenized, encrypted data.
Pros
- Autonomous financial operations
- Uses Model Context Protocol
- MCP server for interaction
- Secures card data with RSA-OAEP encryption
- Human-in-the-loop approval for security
- Access to full Slash platform
- Flexible spending constraints
- Security-first design
- Allows secure access to tokenized, encrypted data
- Spend controls adjustable to business needs
- Tokenized data protection
- Supports treasury operations
Cons
- Requires MCP compatibility
- Lacks non-RSA encryption methods
- Human approval required
- No manual configuration
- Requires private key
- Data tokenization limited to VGSRead-only API keys
- PCI DSS compliance required
- No immediate execution of write operations