@easynodexyz/mcp-x402
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., "@@easynodexyz/mcp-x402List available VPS products"
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.
@easynodexyz/mcp-x402
MCP server for AI agents to purchase VPS and blockchain node products via Easy Node's x402 API with USDC on Base.
Overview
This package provides a Model Context Protocol (MCP) server that enables AI assistants to:
List available VPS and blockchain node products
Purchase products using USDC on Base network
Check order status
Manage running instances (list, view details, renew, rename)
The x402 payment flow is handled automatically - the agent simply calls the tools and payments are processed seamlessly.
Related MCP server: Nexus MCP
Quick Start
1. Install & Setup
npx @easynodexyz/mcp-x402 setupThis interactive wizard will:
Prompt for your wallet private key
Save configuration to
~/.easy-node/.envOutput the IDE config to copy
2. Configure Your IDE
Choose your IDE and add the MCP server configuration.
Install as Claude Code Plugin
/plugin add easynodexyz/mcp-x402Documentation
Full documentation available at x402.easy-node.xyz.
IDE Configurations
Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"easynode-x402": {
"command": "npx",
"args": ["@easynodexyz/mcp-x402"]
}
}
}Config file locations:
macOS:
~/Library/Application Support/Claude/claude_desktop_config.jsonWindows:
%APPDATA%\Claude\claude_desktop_config.jsonLinux:
~/.config/Claude/claude_desktop_config.json
Claude Code (CLI)
Add MCP server using the /mcp command:
claude /mcp add @easynodexyz/mcp-x402 -- npx @easynodexyz/mcp-x402Or manually add to your Claude Code settings (~/.claude/settings.json):
{
"mcpServers": {
"easynode-x402": {
"command": "npx",
"args": ["@easynodexyz/mcp-x402"]
}
}
}Config file locations:
macOS/Linux:
~/.claude/settings.jsonWindows:
%USERPROFILE%\.claude\settings.json
Cursor
Add to your Cursor settings (.cursor/mcp.json in your project or global config):
{
"mcpServers": {
"easynode-x402": {
"command": "npx",
"args": ["@easynodexyz/mcp-x402"]
}
}
}Config file locations:
Project:
.cursor/mcp.jsonin project rootGlobal macOS:
~/.cursor/mcp.jsonGlobal Windows:
%USERPROFILE%\.cursor\mcp.json
VS Code + Continue
Add to your Continue configuration (~/.continue/config.json):
{
"experimental": {
"modelContextProtocolServers": [
{
"transport": {
"type": "stdio",
"command": "npx",
"args": ["@easynodexyz/mcp-x402"]
}
}
]
}
}Other MCP-Compatible Tools
For any MCP-compatible tool, use this stdio transport configuration:
Field | Value |
Command |
|
Args |
|
Transport |
|
With environment variables:
{
"command": "npx",
"args": ["@easynodexyz/mcp-x402"],
"env": {
"EASYNODE_PRIVATE_KEY": "0x...",
"EASYNODE_API_URL": "..."
}
}3. Restart Your IDE
Restart to load the MCP server.
4. Use It
Ask your AI assistant:
"List available VPS products"
"Purchase 1 month of the VPS-XS product"
"Check the status of order abc123"
"List my instances"
"Get connection details for instance xyz"
"Renew instance xyz for 3 months"
Configuration
Environment Variables
Variable | Required | Default | Description |
| Yes | - | Wallet private key (0x...) |
| No | API base URL | |
| No | 100 | Max USDC per transaction |
Config Resolution Order
Configuration is loaded from multiple sources (later overrides earlier):
~/.easy-node/.env- Global config./.env- Project-level configEnvironment variables - Highest priority
Alternative: Manual Configuration
Instead of running setup, you can configure manually:
Option A: Pass env vars in MCP config
{
"mcpServers": {
"easynode-x402": {
"command": "npx",
"args": ["@easynodexyz/mcp-x402"],
"env": {
"EASYNODE_PRIVATE_KEY": "0x..."
}
}
}
}Option B: Create config file manually
Create ~/.easy-node/.env:
EASYNODE_PRIVATE_KEY=0x...
EASYNODE_API_URL=https://api.easy-node.xyz/api
EASYNODE_MAX_PAYMENT=1000MCP Tools
list_products
List available VPS and blockchain node products with USDC pricing.
Parameters:
category(optional): Filter by"vps"or"node"
Example:
List all VPS products available for purchasecreate_order
Purchase a product using USDC on Base. Handles x402 payment automatically.
Parameters:
productId(required): Product ID to purchaseperiod(required): Subscription period in monthsquantity(optional): Number of instances (default: 1)customName(optional): Custom name for the instance (max 100 characters)
Example:
Purchase 3 months of product abc123get_order
Check the status of an existing order.
Parameters:
orderId(required): Order ID to look up
Example:
Check status of order xyz789list_instances
List all instances owned by the wallet.
Example:
List all my instancesget_instance
Get detailed instance information including connection details.
Parameters:
instanceId(required): Instance ID to look uptype(required): Instance type ("node"or"vps")
Example:
Get connection details for VPS instance abc123renew_instance
Renew an existing instance subscription.
Parameters:
instanceId(required): Instance ID to renewperiod(required): Renewal period in monthstype(required): Instance type ("node"or"vps")
Example:
Renew my VPS instance abc123 for 3 monthsupdate_custom_name
Set or update the custom name of an instance.
Parameters:
instanceId(required): Instance ID to updatetype(required): Instance type ("node"or"vps")customName(required): Custom name (max 100 characters)
Example:
Rename instance abc123 to "my-validator"Security
Private keys are stored with 600 permissions (owner read/write only)
Max payment limit prevents accidental large transactions
Wallet only signs EIP-3009 TransferWithAuthorization for USDC
How x402 Works
Agent calls
create_orderwith product detailsFirst request returns HTTP 402 with payment requirements
Client signs USDC transfer authorization (EIP-3009)
Retry with payment signature
Server verifies, settles on-chain, creates order
Order returned to agent
Troubleshooting
"EASYNODE_PRIVATE_KEY is required"
Run npx @easynodexyz/mcp-x402 setup or set the environment variable.
"Payment amount exceeds maximum"
Increase EASYNODE_MAX_PAYMENT in your config or env vars.
"402 response missing payment-required header"
The API endpoint may not support x402. Check you're using the correct API URL.
MCP server not appearing in IDE
Verify the config file location is correct for your OS
Check JSON syntax is valid
Restart the IDE completely (not just reload)
Check IDE logs for MCP connection errors
Contributing
Found a bug or have a feature request? Please open an issue at github.com/easynodexyz/mcp-x402/issues.
Links
License
BUSL-1.1
Available Tools
7 toolscreate_orderA
Purchase a VPS or blockchain node product using USDC on Base. Handles the x402 payment flow automatically. Returns order details with ID and status.
| Name | Required | Description | Default |
|---|---|---|---|
| period | Yes | Subscription period in months | |
| quantity | No | Number of instances to purchase (default: 1) | |
| productId | Yes | Product ID to purchase | |
| customName | No | Custom name for the instance (max 100 characters) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the burden of behavioral disclosure. It adds useful context about the currency, blockchain, and automatic payment handling, but does not mention potential side effects like charges, failure modes, or provisioning delays. This is more transparent than a bare 'create', but still incomplete.
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?
Two sentences, each earning its place. The description is front-loaded with the core purpose and adds payment/return details without fluff.
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?
For a mutating tool with no output schema, the description provides a reasonable overview of what to expect (order ID and status). It could mention potential async behavior or failure handling, but it is sufficient for a tool of this complexity.
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 covers all parameters with descriptions, so the baseline is 3. The description does not add any additional semantic meaning to the parameters beyond what the schema already provides.
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 action: purchasing a VPS or blockchain node product via USDC on Base. It specifies the payment flow and return value, distinguishing it from sibling tools that list, get, renew, or rename instances.
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 implies this is the tool for purchasing, with context about the payment method and automatic flow. However, it does not explicitly mention when to use this over alternatives, though the sibling names make it evident this is the creation/purchase tool.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_instanceA
Get detailed information about a specific instance including connection details (IP address, SSH port, admin credentials). Secrets are encrypted and decrypted locally.
| Name | Required | Description | Default |
|---|---|---|---|
| type | Yes | Instance type: "node" or "vps" | |
| instanceId | Yes | Instance ID (userNode or userVps ID) to get details for |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It adds an important security-relevant behavior: 'Secrets are encrypted and decrypted locally.' It also implies a read-only operation via 'Get', which is clear. However, it does not mention any side effects or prerequisites, but for a get operation this is acceptable.
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 two concise sentences, front-loaded with the core purpose and valuable detail about return contents. The second sentence about encryption is relevant and not redundant. No wasted words.
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?
There is no output schema, so the description should explain return values. It does mention connection details (IP, SSH port, admin credentials) and the local decryption behavior. It could be more explicit about other possible fields, but for a get tool with a clear scope, it is sufficiently complete.
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?
Schema description coverage is 100%, so the schema fully documents both parameters. The description does not add additional meaning to the parameters (e.g., how instanceId differs between node and vps, or how type affects the return). Since the schema covers everything, a baseline of 3 is appropriate.
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 action ('Get detailed information') and the resource ('a specific instance'). It specifies the kind of details including IP address, SSH port, and admin credentials, which differentiates it from list_instances that likely provides summary information for many instances.
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 tool's purpose implies when to use it (when needing a single instance's details), but it does not explicitly mention when not to use it or suggest alternatives like list_instances for broad listing. The usage context is implied rather than explicitly stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_orderA
Get the status and details of an existing order by ID. Returns order status, products, and payment information.
| Name | Required | Description | Default |
|---|---|---|---|
| orderId | Yes | Order ID to look up |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full transparency burden. It discloses that this is a read operation and specifies return contents, but omits details like error handling, authentication needs, or behavior for non-existent IDs. Acceptable but not rich.
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?
Two short sentences front-load the action and immediately specify the return payload. Every word earns its place; no fluff or redundancy.
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?
For a single-parameter retrieval tool with no output schema, the description covers the core context: purpose, lookup key, and returned fields. It could mention edge-case behavior or read-only intent explicitly, but the coverage is strong for its simplicity.
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?
Schema coverage is 100% for the only parameter (orderId), and the schema already describes its purpose. The description adds no extra semantic depth beyond 'by ID', so the baseline score of 3 is appropriate.
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 uses a specific verb ('Get') with a clear resource ('order') and states the exact lookup key ('by ID'). It also lists what data is returned (status, products, payment), which effectively distinguishes it from create_order and instance-related sibling tools.
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 clearly implies the tool should be used whenever an existing order's details are needed. It does not explicitly exclude alternatives, but the read-vs-create distinction is inferable from sibling names. Lacks formal 'use this instead of' guidance, but context is clear.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_instancesA
List all VPS and Node instances owned by the wallet. Returns instance IDs, types, statuses, and subscription dates.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It discloses the key behavior: it lists all instances owned by the wallet and returns specific fields. It stops short of explicitly stating it is read-only or describing pagination, but for a simple list operation, the provided transparency is adequate and adds context beyond a bare statement.
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 two sentences long and entirely purposeful. The first sentence states the core function, and the second clarifies the return contents. No filler or irrelevant details are present.
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?
For a tool with no parameters, no annotations, and no output schema, the description is complete. It explains both what the tool does and what information it returns, which is sufficient for an agent to invoke and interpret the result without needing further clarification.
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 input schema has no parameters, so the 0-parameter baseline applies. The description adds no parameter documentation, but none is needed. It correctly implies that no parameters are required for the tool.
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 action ('List all VPS and Node instances') and scope ('owned by the wallet'), using a specific verb and resource. It also enumerates the return fields (IDs, types, statuses, subscription dates), which distinguishes it from siblings like get_instance (single instance) and list_products (different resource).
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 implies when to use this tool by stating it lists all wallet-owned instances, but it does not explicitly contrast with alternatives like get_instance (for a specific instance) or mention exclusions. The word 'all' hints at its broader scope, but no direct when/when-not guidance is provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_productsA
List available VPS and blockchain node products with USDC pricing. Returns product IDs, names, pricing, and availability.
| Name | Required | Description | Default |
|---|---|---|---|
| category | No | Filter by product category: "vps" or "node" |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden. It clearly indicates a read-only listing operation by using 'List' and states the return fields (IDs, names, pricing, availability). However, it does not explicitly state that no side effects occur, mention authentication requirements, or address rate limits or pagination behavior.
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 two sentences, front-loaded with the action and resource, and every sentence adds value. It avoids redundancy and clearly communicates the core purpose and return values without unnecessary detail.
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?
The tool is simple with one optional parameter and no output schema. The description provides return values, which partially compensates for the missing output schema. It does not explicitly state what happens when 'category' is omitted (e.g., returns all products), which is a minor gap for a low-complexity listing tool.
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 already documents the single optional 'category' parameter with an enum and a clear description, so schema coverage is 100%. The tool description adds only the product categories 'VPS and blockchain node' and USDC pricing, which aligns with but does not significantly extend the parameter documentation.
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 uses a specific verb ('List') with a clear resource ('available VPS and blockchain node products') and explicitly notes USDC pricing and returned fields. It clearly distinguishes from siblings like list_instances, which focuses on existing instances, and create_order, which handles ordering.
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 implies this tool is for browsing the product catalog before ordering, but it does not explicitly state when to use it versus list_instances or create_order. No exclusions or alternative tool names are mentioned, leaving the usage context to be inferred from sibling tool names.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
renew_instanceA
Renew an existing VPS or Node instance subscription using USDC on Base. Extends the subscription period. Handles x402 payment flow automatically.
| Name | Required | Description | Default |
|---|---|---|---|
| type | Yes | Instance type: "node" or "vps" | |
| period | Yes | Renewal period in months | |
| instanceId | Yes | Instance ID (userNode or userVps ID) to renew |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must disclose behavior itself. It mentions the payment method (USDC on Base) and that the x402 payment flow is handled automatically, which adds useful context. However, it does not mention prerequisites (e.g., active instance), side effects, or failure behavior, leaving some gaps.
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 two sentences, immediately states the primary action, and includes relevant details without redundancy. Every sentence contributes value.
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 simple 3-parameter tool and no output schema, the description is fairly complete. It explains what the tool does and how payment is handled. Minor omissions like error handling or prerequisites prevent a perfect score, but it is adequate for usage.
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?
Schema description coverage is 100%, so the description does not need to add parameter details. The description mentions the renewal period and instance type implicitly, but the schema already provides clear descriptions. It adds no extra semantic value beyond the schema.
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 action (renew), the target resource (existing VPS or Node instance subscription), and the method (using USDC on Base, extending the subscription period). This distinguishes it from sibling tools like create_order or get_instance.
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 implies usage (renew existing subscriptions) but does not provide explicit alternatives or when-not-to-use guidance. For a tool with siblings like create_order and update_custom_name, it would benefit from mentioning that it is for renewals only, not for creating new instances.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
update_custom_nameA
Set or update the custom name of a VPS or Node instance. Useful for labeling instances with friendly names.
| Name | Required | Description | Default |
|---|---|---|---|
| type | Yes | Instance type: "node" or "vps" | |
| customName | Yes | Custom name for the instance (max 100 characters) | |
| instanceId | Yes | Instance ID (userNode or userVps ID) to update |
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. It only says 'Set or update' which implies mutation, but does not disclose permissions, reversibility, side effects, or response behavior. This is a significant gap for a mutation tool.
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 two concise sentences, the first stating the action and the second giving the purpose. Every word contributes value with no redundancy or filler.
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?
For a simple 3-parameter mutation tool with complete schema coverage and no output schema, the description adequately covers purpose and parameters. Behavioral detail is lacking, but the tool is straightforward, so completeness is acceptable.
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?
Schema description coverage is 100%, with all three parameters clearly described. The description adds no extra semantic meaning beyond the schema, so the baseline of 3 is appropriate.
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 'Set or update the custom name of a VPS or Node instance' with a specific verb and resource, and it distinguishes this tool from sibling tools like list_instances or renew_instance by focusing on the labeling action.
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 phrase 'Useful for labeling instances with friendly names' provides clear context for when to use the tool. However, it does not explicitly mention alternatives or exclusions, so it falls short of a 5.
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.
7 tool updates
v0.1.3- First observed
create_order - First observed
get_instance - First observed
get_order - First observed
list_instances - First observed
list_products - First observed
renew_instance - First observed
update_custom_name
TDQS
Each tool targets a distinct resource and action: products vs orders vs instances, with clear separation between listing, getting, creating, renewing, and updating. No two tools could be confused.
All tools follow the same verb_noun pattern with snake_case (list_products, create_order, get_instance, etc.). Naming is perfectly consistent and predictable.
Seven tools is well-scoped for a VPS/node purchasing and management server. Each tool covers a distinct operation without bloat or triviality.
The core lifecycle is covered: product discovery, order creation/status, instance listing/detail/renewal, and naming. Missing cancel/termination operations are a minor gap, but agents can work around by not needing them or relying on external cancellation.
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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