kweenkl MCP Server
The kweenkl MCP Server enables AI assistants to send real-time push notifications to mobile devices and manage notification channels.
Send Push Notifications - Use the kweenkl tool to send notifications to specific channels via webhook tokens, with customizable titles, messages (up to 500 characters recommended), priority levels (low, normal, high), and optional custom JSON payloads for metadata, action buttons, or deep links.
Manage Channels (requires device token) - List all channels with their webhook URLs and notification counts, create new channels with custom names, descriptions, colors (hex codes), and icons, update existing channel properties, or permanently delete channels.
Integration & Deployment - Works with various MCP clients including Claude Desktop, n8n, ChatGPT, and other automation tools. Can be deployed locally or connected to a hosted MCP server with secure authentication through webhook and device tokens.
Use Cases - Transform AI into a proactive assistant that can notify you when tasks complete, send error alerts, deliver team notifications through shared channels, or create contextual, priority-based alerts based on AI analysis results.
Enables AI assistants to send push notifications through the kweenkl iOS app using webhook tokens, with support for different priority levels and custom metadata
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., "@kweenkl MCP Serverkweenkl me when the analysis is complete"
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.
kweenkl MCP Server (Deprecated)
This local MCP server is deprecated. Use the hosted remote MCP server instead — no installation required.
Use the Remote MCP Server
Endpoint: https://api.kweenkl.com/mcp
Setup
Download the kweenkl iOS app
Go to Settings in the app and copy your Device Token
Add the MCP server to your AI client:
Claude Code:
claude mcp add kweenkl https://api.kweenkl.com/mcp --transport http --scope user --header "X-Kweenkl-Device-Token: YOUR_DEVICE_TOKEN"ChatGPT: Add https://api.kweenkl.com/mcp in Settings > Apps & Connectors. Authentication is handled via OAuth — you'll be prompted to enter your device token during setup.
Any MCP client: Point to https://api.kweenkl.com/mcp with the X-Kweenkl-Device-Token header.
Full Documentation
See kweenkl.com/skill.md for the complete API reference.
Links
Related MCP server: Notifications MCP Server
License
MIT
Available Tools
1 toolkweenklBInspect
Send a push notification using kweenkl. The verb 'kweenkl' means to send a notification. Use this to notify users about important events, updates, or information that requires immediate attention.
| Name | Required | Description | Default |
|---|---|---|---|
| webhook_token | Yes | The webhook token for your kweenkl channel. Format: UUID-like string. Can be found in the kweenkl iOS app by opening a channel and viewing 'Channel Info'. | |
| message | Yes | The notification message content. Should be clear, concise, and actionable. Maximum recommended length: 500 characters for optimal mobile display. | |
| title | No | Optional title for the notification. Should be brief (max 50 chars recommended). If omitted, only the message will be shown. | |
| priority | No | Priority level for the notification. 'high' = urgent/critical alerts, 'normal' = standard updates (default), 'low' = non-urgent information. | |
| payload | No | Optional custom JSON payload for additional metadata. Can include any structured data that your app might process (e.g., action buttons, deep links, custom data). |
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 that the tool sends notifications for immediate attention, implying urgency, but does not disclose critical behavioral traits such as rate limits, authentication requirements (beyond the webhook_token parameter), error handling, or what happens on invocation (e.g., delivery confirmation). For a notification-sending tool with zero annotation coverage, this is a significant gap in transparency.
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 appropriately sized with two sentences that are front-loaded: the first sentence states the purpose clearly, and the second provides usage context. There is no wasted text, and it efficiently conveys the tool's intent without redundancy. However, it could be slightly more structured by explicitly separating purpose from guidelines.
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 complexity of a notification-sending tool with 5 parameters, no annotations, and no output schema, the description is incomplete. It lacks details on behavioral aspects (e.g., delivery mechanisms, error responses), does not explain the return values or what success/failure looks like, and relies solely on the input schema for parameter documentation. For a tool that performs an action with potential side effects, this is inadequate.
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 already documents all parameters thoroughly. The description does not add any parameter-specific information beyond what the schema provides (e.g., it doesn't explain parameter interactions or usage nuances). With high schema coverage, the baseline score of 3 is appropriate, as the description doesn't compensate but also doesn't detract from the schema's 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 clearly states the tool's purpose: 'Send a push notification using kweenkl' with the verb 'send' and resource 'push notification'. It distinguishes the action by explaining that 'kweenkl' means to send a notification, though there are no sibling tools to differentiate from. The description is specific about the tool's function but lacks explicit sibling comparison.
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 implied usage guidelines: 'Use this to notify users about important events, updates, or information that requires immediate attention.' This gives context on when to use the tool (for notifications needing immediate attention) but does not explicitly state when not to use it or mention alternatives, and there are no sibling tools to compare against. The guidance is helpful but not comprehensive.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
TDQS
With only one tool, there is no possibility of ambiguity or overlap between tools, as there are no other tools to confuse it with. The tool's purpose is clearly defined as sending push notifications, leaving no room for misselection.
The single tool name 'kweenkl' follows a consistent pattern by default, as there are no other tools to compare it against. There is no mixing of conventions or deviations, making it perfectly consistent within the set.
A single tool is generally too few for most server purposes, as it limits functionality and scope. While it might suffice for a minimal notification service, it feels thin and lacks the depth typically expected for a coherent tool set, making it borderline inappropriate.
The tool covers the core action of sending notifications, but there are notable gaps in the lifecycle, such as managing notifications (e.g., listing, updating, or deleting them). The surface is incomplete for a full notification system, though agents might work around this for basic use cases.
Maintenance
Resources
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