OwlPay MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@OwlPay MCP Serverhow do I authenticate with the OwlPay API?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
OwlPay MCP Server
Overview
The OwlPay MCP Server provides documentation search capabilities. This server enables large language models (LLMs) to directly retrieve documentation, accelerating system integration.
Related MCP server: Ramp Developer MCP Server
Components
Tools
Query Tools
search_owlpay_documentationSearch Owlpay 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 OwlTing 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/owlpay . --no-cacheClick the button to install:
Or install manually:
Go to Cursor Settings -> Tools & Integrations -> New MCP Server.
{
"mcpServers": {
"owlpay": {
"url": "https://owlpay-mcp.owlting.com/mcp/"
}
}
}Docker
{
"mcpServers": {
"owlpay": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"mcp/owlpay"
]
}
}
}Click the button to install:
Or install manually:
You can also install the MCP server using the VS Code CLI:
{
"servers": {
"owlpay": {
"type": "http",
"url": "https://owlpay-mcp.owlting.com/mcp/"
}
}
}Docker
{
"servers": {
"owlpay": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"mcp/owlpay"
]
}
}
}Follow the MCP install guide, use following configuration:
# Add the server to your claude_desktop_config.json
{
"mcpServers": {
"owlpay": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"mcp/owlpay"
]
}
}
}Available Tools
1 toolsearch_owlpay_documentationC
Search Owlpay documentation. Any non-English input will be auto-translated to English before populating the query.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | Search keywords in English. Any non-English input will be auto-translated to English before populating this field. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions auto-translation of non-English inputs, which adds some context about query processing. However, it lacks details on response format, error handling, rate limits, or authentication needs, leaving significant gaps for a search tool with no output schema.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that states the tool's purpose and key feature (auto-translation) without any wasted words. It is appropriately sized and front-loaded, making it easy for an agent to parse quickly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (1 parameter, 100% schema coverage) and lack of annotations or output schema, the description is incomplete. It doesn't explain what the search returns, how results are formatted, or any behavioral traits like error cases. For a search tool, this leaves the agent with insufficient context to use it effectively.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema description coverage is 100%, with the single parameter 'query' fully documented in the schema. The description adds value by reiterating the auto-translation feature for non-English inputs, which provides context beyond the schema's description. However, it doesn't introduce new parameter details, so it meets the baseline for high schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
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 Owlpay documentation' with the specific verb 'search' and resource 'Owlpay documentation'. It distinguishes itself by mentioning auto-translation of non-English inputs, which adds specificity. However, with no sibling tools, there's no explicit differentiation from alternatives, preventing a perfect score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives, prerequisites, or exclusions. It mentions auto-translation as a feature but doesn't explain when this is beneficial or if there are limitations. With no sibling tools, context for usage is minimal, leaving the agent with little operational guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
1 tool update
v1.0.0- Changed
search_owlpay_documentation2 fields changed- added
Input schema / descriptionAdded value: +"Parameters for searching Owlpay documentation." - added
Input schema / titleAdded value: +"SearchArgs"
1 tool update
- First observed
search_owlpay_documentation
TDQS
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool's purpose is clearly distinct and self-contained.
A single tool inherently has perfect naming consistency, as there are no other tools to compare it against. The naming follows a clear verb_noun pattern.
One tool is too few for a server named 'OwlPay MCP Server', which implies a broader financial or payment domain. A single documentation search tool feels thin and incomplete for such a scope.
The tool surface is severely incomplete for a payment-related server. It only offers documentation search, missing essential operations like transaction processing, account management, or payment queries, which are core to the implied domain.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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