Payman AI MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| set-api-keyD | – |
| create-test-rails-payeeD | – |
| create-us-ach-payeeD | – |
| create-crypto-payeeD | – |
| send-paymentD | – |
| search-payeesD | – |
| get-balanceD | – |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 7 tools
Each tool has a clearly distinct purpose with no overlap: three tools create different types of payees (crypto, test rails, US ACH), while others handle balance retrieval, payee search, payment sending, and API key management. The naming makes the distinctions obvious even without descriptions.
All tools follow a consistent verb_noun pattern with hyphens (e.g., create-crypto-payee, get-balance, send-payment). The naming is uniform throughout, making it easy to predict and understand each tool's function.
With 7 tools, this server is well-scoped for payment and payee management. The count is appropriate, covering core operations like payee creation, balance checking, searching, payments, and configuration without being overwhelming or insufficient.
The toolset covers key payment workflows: creating payees, retrieving balance, searching payees, sending payments, and setting API keys. A minor gap is the lack of update or delete operations for payees, but agents can likely work around this given the core functionality is present.