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OwlTing

PayNow Component MCP Server

by OwlTing
OverviewSchemaRelated ServersScoreDiscussions
Python
Hybrid

PayNow Component MCP Server

Overview

The PayNow Component MCP Server provides documentation search capabilities. This server enables large language models (LLMs) to directly retrieve documentation, accelerating system integration.

Related MCP server: OwlPay MCP Server

Components

Tools

Query Tools

  • search_paynow_component_documentation

    • Search PayNow Component documentation.

    • Input:

      • query (string): Search keywords in English.

    • Returns: Query results as array of objects

Install

For quick installation, use one of the one-click install buttons above. The remote MCP Server is hosted by PayNow and provides the easiest method for getting up and running. If your MCP host does not support remote MCP servers, you can easily set up the local version using Docker.

Docker Setup (For Local MCP Server Only):

docker build -f Dockerfile.local_docker -t mcp/paynow_component . --no-cache

Click the button to install:

Install in Cursor

Or install manually:

Go to Cursor Settings -> Tools & Integrations -> New MCP Server. 

{
  "mcpServers": {
    "paynow_component": {
      "url": "https://paynow-component-docs-mcp.paynow.com.tw/mcp"
    }
  }
}

Docker

{
  "mcpServers": {
    "paynow_component": {
      "command": "docker",
      "args": [
        "run", 
        "-i", 
        "--rm", 
        "mcp/paynow_component"
      ]
    }
  }
}

Click the button to install:

Install in VS Code

Or install manually:

You can also install the MCP server using the VS Code CLI:

{
	"servers": {
		"paynow_component": {
			"type": "http",
			"url": "https://paynow-component-docs-mcp.paynow.com.tw/mcp"
		}
	}
}

Docker

{
	"servers": {
		"paynow_component": {
			"command": "docker",
			"args": [
				"run", 
				"-i", 
				"--rm", 
				"mcp/paynow_component"
			]
		}
	}
}

For MCP Server

Follow the MCP install guide, in the "Add a Custom Connector" step, enter the following URL:

https://paynow-component-docs-mcp.paynow.com.tw/mcp

Docker

Follow the MCP install guide, use following configuration:

# Add the server to your claude_desktop_config.json
{
  "mcpServers": {
    "paynow_component": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "mcp/paynow_component"
      ]
    }
  }
}

Follow the MCP install guide, run the following command:

claude mcp add --transport http paynow_component https://paynow-component-docs-mcp.paynow.com.tw/mcp

Available Tools

1 tool
search_paynow_component_documentationA

Search PayNow Component documentation. Any non-English input will be auto-translated to English before populating the query.

ParametersJSON Schema
NameRequiredDescriptionDefault
queryYesSearch keywords in English. Any non-English input will be auto-translated to English before populating this field.

TDQS

A3.5/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full burden for behavioral disclosure. It adds valuable context about auto-translation of non-English input, which isn't obvious from the schema alone. However, it doesn't describe other behavioral traits like rate limits, authentication needs, result format, or pagination. The description provides one useful behavioral insight but leaves other aspects unspecified.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is perfectly concise - two sentences with zero waste. The first sentence states the core purpose, the second adds crucial behavioral context about auto-translation. Every word earns its place, and the information is front-loaded appropriately for a simple search tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter search tool with no annotations and no output schema, the description is adequate but has clear gaps. It explains the auto-translation feature well but doesn't describe what kind of results to expect, how they're formatted, or any limitations. The description covers the basic operation but leaves the agent guessing about the response format and potential constraints.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already fully documents the single 'query' parameter. The description repeats the auto-translation behavior mentioned in the schema description, adding no new parameter semantics. This meets the baseline of 3 when schema does the heavy lifting, but doesn't provide additional value beyond what's already in structured data.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'Search PayNow Component documentation' - a specific verb ('Search') and resource ('PayNow Component documentation'). It distinguishes the target resource but doesn't differentiate from siblings since none exist. The purpose is unambiguous but not maximally specific about what 'documentation' entails.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides implied usage guidance through the auto-translation feature statement, suggesting this tool handles multilingual queries. However, it lacks explicit when-to-use guidance, alternatives, or exclusions. With no sibling tools, the need for differentiation is reduced, but no proactive usage context is provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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TDQS

A3.5/5.0
Disambiguation5/5

With only one tool, there is no possibility of ambiguity or overlap between tools. The tool's purpose is clearly distinct and singular.

Naming Consistency5/5

Since there is only one tool, naming consistency is inherently perfect. The tool name follows a clear verb_noun pattern (search_paynow_component_documentation).

Tool Count2/5

A single tool for a server named 'PayNow Component MCP Server' feels too thin and incomplete for the apparent domain. It suggests significant gaps in functionality beyond documentation search.

Completeness2/5

The server's name implies a domain related to PayNow components, but the tool only covers documentation search. There are obvious gaps, such as creating, updating, or managing components, which would be expected for a component server.

Maintenance

ActivitySlowing
ResponsivenessNo issues

Resources

Unclaimed servers have limited discoverability.

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