kweenkl-mcp
Server Details
Push notifications for AI agents - send instant iPhone notifications from any MCP client.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- antoinedelorme/kweenkl-mcp
- GitHub Stars
- 0
- Server Listing
- kweenkl MCP Server
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Tool Definition Quality
Average 4/5 across 6 of 6 tools scored. Lowest: 3.1/5.
Each tool has a clearly distinct purpose: fetch retrieves by ID, kweenkl sends notifications, login and login_check handle auth, status checks connectivity, and search queries history. No ambiguity.
Tools mix generic verbs like 'fetch' and 'search' with the 'kweenkl_' prefix for auth and status tools, and 'kweenkl' as a standalone verb tool. This is somewhat inconsistent but still readable.
6 tools is well-scoped for a notification service. Each tool serves a needed function without bloat.
Lacks channel management tools (create, update, delete) and a listing tool beyond search. Users cannot fully manage the lifecycle of channels or notifications.
Available Tools
6 toolsfetchBRead-onlyIdempotentInspect
Fetch details about a specific kweenkl channel or notification by ID.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | The ID of the channel or notification to fetch | |
| type | Yes | Type of resource to fetch: 'channel' or 'notification' |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint. The description adds no additional behavioral traits beyond what annotations provide, so it does not enhance 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 a single, efficient sentence that front-loads the action and resource. Every word earns its place with no 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 simple two-parameter fetch tool with no output schema, the description is adequate but lacks details on return format or error conditions. It could be slightly more explicit about what 'details' entails.
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% with clear descriptions for both 'id' and 'type'. The description adds no extra meaning beyond the schema, meeting the baseline of 3.
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 it fetches details of a specific channel or notification by ID, using an action verb and specific resource. However, it does not explicitly differentiate from sibling tools like 'search', though the ID-based retrieval is distinct.
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?
No guidance is given on when to use this tool versus alternatives. The description only states the function without context on prerequisites or scenarios.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
kweenklAInspect
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 |
|---|---|---|---|
| title | No | Optional title for the notification. Should be brief (max 50 chars recommended). If omitted, only the message will be shown. | |
| glance | No | Optional structured visualization rendered as a card inside the kweenkl iOS app. Must include a 'type' field. v1 supports type='line_chart' with required fields {labels: string[], values: number[]} (same length, ≥2 points) and optional fields {subtitle, accent (#hex), comment, x_label, y_label}. Example: {type:'line_chart', subtitle:'Évolution 2015→2024', labels:['2015','2016','2017'], values:[670,720,780], accent:'#ff6b6b', comment:'tendance haussière'} | |
| message | Yes | The notification message content. Should be clear, concise, and actionable. Maximum recommended length: 500 characters for optimal mobile display. | |
| 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). | |
| priority | No | Priority level for the notification. 'high' = urgent/critical alerts, 'normal' = standard updates (default), 'low' = non-urgent information. | |
| 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'. |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate readOnlyHint=false, destructiveHint=false. The description adds that notifications are for 'important events' but does not disclose any additional behavioral traits (e.g., rate limits, delivery guarantees).
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 concise sentences: one for action, one for usage guidance. No redundant or fluff content.
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?
Despite complexity (6 params, nested glance object), the description is minimal. It does not mention the kweenkl platform dependency, the requirement for a webhook token, or the glance card visualization. The schema covers details, but the description lacks overarching context.
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% with detailed descriptions for each parameter. The description text adds no extra meaning beyond the schema, so baseline 3 applies.
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 'Send a push notification using kweenkl' and explicitly defines the verb meaning. It distinguishes from siblings like 'fetch' and 'search' which are unrelated.
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?
Describes when to use: 'notify users about important events, updates, or information that requires immediate attention.' Does not provide explicit exclusions or alternatives, but sibling names imply distinct purposes.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
kweenkl_loginAInspect
Start the kweenkl login/onboarding flow. If the user provides their device_token (from the iOS app), this will immediately create their webhook. Otherwise, guides them to download the app or join the waitlist.
| Name | Required | Description | Default |
|---|---|---|---|
| No | User's email address for waitlist subscription (only used if has_app is false) | ||
| has_app | No | Whether the user already has the kweenkl iOS app installed. If true and no device_token, starts device auth flow. | |
| device_token | No | The user's device token from the kweenkl iOS app. If provided, immediately creates a webhook for them. |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Description adds context beyond annotations: explains branching behavior (webhook creation vs. app download/waitlist). Annotations already indicate mutation (readOnlyHint=false) and non-destructive nature (destructiveHint=false), which description respects.
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: first defines core purpose, second explains conditions. No redundant words, front-loaded with key information.
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 no output schema and moderate complexity, the description covers parameter roles and branching. Lacks details on return values or error handling, but these are not critical for a login flow.
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?
With 100% schema coverage, baseline is 3. Description adds value by explaining parameter interactions (e.g., email only used if has_app is false, device_token triggers immediate webhook).
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 it starts the kweenkl login/onboarding flow, with specific conditions for creating a webhook or guiding the user. It distinguishes from sibling kweenkl_login_check which checks status.
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?
Provides clear conditional guidance based on device_token presence and has_app flag. Does not explicitly mention when not to use it, but the conditions imply appropriate scenarios.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
kweenkl_login_checkARead-onlyIdempotentInspect
Check the status of a device authorization flow. Call this after kweenkl_login to see if the user has approved the connection in their iOS app.
| Name | Required | Description | Default |
|---|---|---|---|
| session_id | Yes | The session ID returned from kweenkl_login |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, and non-destructive behavior. The description adds value by explaining the flow sequence (after kweenkl_login) and that it checks user approval, which is consistent with annotations.
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, front-loaded with the core purpose, no extraneous content.
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, read-only tool with clear annotations and no output schema, the description is complete: it explains what it does and when to use it.
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% with a good description for session_id. The description does not add extra parameter meaning beyond referencing kweenkl_login, but baseline 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 verb ('Check the status') and specific resource ('device authorization flow'). It distinguishes from sibling tools like kweenkl_login by indicating it is called after the login step.
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 explicitly says 'Call this after kweenkl_login', providing clear context on when to use the tool. While it doesn't mention when not to use it, the guidance is sufficient given the sibling context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
kweenkl_statusARead-onlyIdempotentInspect
Check kweenkl server connectivity and status. Use this to verify the connection is working before sending notifications. No authentication required.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations provide readOnlyHint, idempotentHint, and destructiveHint, so the safety profile is already clear. The description adds behavioral context by stating 'No authentication required' and that it checks connectivity, which augments the annotations.
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 concise sentences, front-loaded with the main purpose, no redundant information.
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 tool with no parameters and no output schema, the description is mostly complete. It lacks details about the output format, but given the straightforward purpose, it is adequate.
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 zero parameters with 100% coverage. Baseline for no parameters is 4; the description doesn't need to add parameter details.
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 verb ('Check') and resource ('kweenkl server connectivity and status'). It distinguishes from sibling tools like 'kweenkl_login' by specifying it's for connectivity verification and requires no authentication.
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 explicit when to use: 'Use this to verify the connection is working before sending notifications.' It also mentions 'No authentication required.' While it doesn't name alternatives, the context is clear.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
searchARead-onlyIdempotentInspect
Search kweenkl notification channels and messages. Use this to find channels by name or search through notification history.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | Search query to find channels or notifications |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate readOnly, idempotent, openWorld (unpredictable results). Description adds that it searches channels and messages but lacks details on result format, pagination, or performance characteristics.
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 concise sentences, front-loaded with purpose, no redundant information. Every sentence earns its place.
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?
Tool is simple with one param and no output schema. Annotations cover safety, and description covers purpose and usage. Minor omission: no mention of return type or pagination, but acceptable for a search 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?
Schema coverage is 100%, so baseline is 3. Description mirrors schema description 'Search query to find channels or notifications', adding no further meaning beyond what's in 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?
Description clearly states verb 'Search' and resource 'kweenkl notification channels and messages', and provides specific use cases: find channels by name or search history. It distinguishes from sibling tools like 'fetch', which likely retrieves specific items.
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?
Explicitly tells when to use: 'find channels by name or search through notification history'. While it doesn't list exclusions or alternatives, the context is clear for a simple search tool with few siblings.
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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