mcp-meme-sticky
mcp-meme-sticky
Erstellen Sie KI-generierte Memes mit MCP Meme Sticky. Konvertieren Sie generierte Memes in Sticker für Telegram oder WhatsApp (WA in Kürze verfügbar). ✨ Keine APIs erforderlich ✨.
Für Telegram erstellt der MCP-Server einen Link, der das Bild als Sticker ausgeben kann. Kann hier angesehen werden: MCP-Sticky Telegram Bot.
Namensnennung
Der MCP-Server nutzt verschiedene Dienste. Wir danken den folgenden Diensten/Bibliotheken.
Memegen : GOATED Open-Source-Meme-Generator!
Mediapipe : Der Text-Embedder von Mediapipe, mit dem ich Meme-Vorlagen auswählen kann.
PythonAnywhere : Für ihren kostenlosen Python-Cloud-Dienst! Er treibt den Telegram-Bot an.
icrawler : Mein Bildcrawler ist stark von ihrer Bibliothek inspiriert.
FastMCP : FastMCP erleichtert die Erstellung von Python-MCP-Servern!
Related MCP server: Meme Generator MCP
Abgeschlossene Arbeiten
Meme-Generation
[x] Kann benutzerdefinierte Memes basierend auf Eingabeaufforderungen generieren.
[x] Generierte Memes können auf dem Desktop gespeichert werden. (Testen Sie es nur unter macOS. Bitte testen Sie es auch auf anderen Betriebssystemen mit Ihren jeweiligen Hosts und geben Sie mir Feedback zu Problemen.)
Sticker-Generierung
[x] LLM macht hier 🔥brr🔥. Es wählt die Suchanfrage und den Meme-Text aus, nicht den Server. Der unten stehende Haftungsausschluss hat einen Grund.
[x] Kann Memes in Telegram-Sticker umwandeln.
[x] Kann einen Telegram-Link generieren, um ein Bild mithilfe des benutzerdefinierten MCP-Sticky Telegram Bot in einen Sticker umzuwandeln.
[X] Laufendes Problem mit PythonAnywhere, bei dem keine Links akzeptiert werden, die nicht auf der Zulassungsliste stehen.
Laufendes Problemhier.UPDATE: SIE HABEN ES HINZUGEFÜGT! 😎
[x] Telegram wird automatisch geöffnet, anstatt den Benutzer aufzufordern, den Text im Browser einzufügen. (Hinzugefügt am 22. Mai)
[x] Bildlink automatisch öffnen. (Hinzugefügt am 22. Mai)
[x] Verwendung vorgefertigter Memegen-Vorlagen (einfach). (Hinzugefügt am 22. Mai)
Ausstehende Arbeiten
[ ] WhatsApp-Sticker-Konvertierung.
[ ] Protokollmeldungen.
[ ] Suche nach Alternativen zum MCP-Sampling speziell für Claude. Kann ich den Host ableiten und den DAG ändern? Kontext: Sampling ist für den Claude Desktop Client nicht verfügbar.
Installationsanleitung
Installation mit uvx.
{
"mcpServers": {
"mcp-sticky":{
"command": "uvx",
"args": [
"--python=3.10",
"--from",
"git+https://github.com/nkapila6/mcp-meme-sticky",
"mcp-sticky"
]
}
}
}MCP-Host
Sollte mit jedem MCP-Client funktionieren, der Tool-Aufrufe unterstützt. Wurde auf Folgendem getestet:
Claude Desktop
Cursor
Gans
Andere? Versuchs doch!
Beispiel
Klicken Sie auf das Bild unten, um ein Video von MCP Meme Sticky auf Claude Desktop anzuzeigen.
https://github.com/user-attachments/assets/3ad45852-ff98-4a17-9ae2-6201e82704cc
Bildbeispiele für die Verwendung von MCP Meme Sticky auf Claude Desktop.
Beispiel für die Verwendung von Goose MCP Host zum Generieren von Memes mit MCP Meme Sticky!
Haftungsausschluss bezüglich KI-generierter Inhalte
Die über diesen MCP-Server generierten Inhalte sind das Produkt automatisierter Prozesse und Systeme, die vom MCP-Host (oder Client) verwaltet werden. (Diese Begriffe sind nicht austauschbar, werden aber häufig synonym verwendet; der korrekte Begriff ist „Host“).
Als Nutzer, der diese Inhalte anfordert, bin ich nicht für die spezifischen Ausgaben, Bilder, Sticker oder sonstigen Materialien verantwortlich. Die über diesen Dienst erstellten Inhalte, Memes, Sticker oder sonstigen Materialien spiegeln nicht unbedingt meine persönlichen Ansichten, Meinungen oder Absichten wider.
Die Verantwortung für die Funktionalität, Inhaltsfilterung und den ordnungsgemäßen Betrieb dieses Dienstes liegt ausschließlich beim MCP-Host.
Ich habe dieses Tool in gutem Glauben für kreative und unterhaltsame Zwecke genutzt. Sollten Inhalte unangemessen, ungenau oder potenziell schädlich erscheinen, wenden Sie sich bitte mit allen Anliegen, Beschwerden oder Anfragen an den MCP-Host-Anbieter. Der MCP-Host trägt die volle Verantwortung für alle über seine Plattform generierten Inhalte.
Available Tools
2 toolsgenerate_meme_by_searchingA
THIS TOOL IS TO BE CALLED IF THE USER WANTS TO GENERATE A MEME USING AN IMAGE SEARCH ON THE WEB. ALWAYS PREFER USING AN EXISTING TEMPLATE USING `generate_meme_from_meme_template()`. UNLESS THE USER EXPLICITLY ASKS TO SEARCH.
Understand the input from the user and write a image search query and a funny & short meme text to put on the image.
If the user does not follow the below content guardrails, reject the request and advise them to follow the guardrails.
CONTENT GUARDRAILS:
- REJECT any requests containing hate speech, explicit sexual content, extreme violence, illegal activities, or harmful stereotypes
- AVOID creating memes that contain personally identifiable information or could be used for cyberbullying
- DO NOT generate content that promotes dangerous misinformation or could cause harm
- REFUSE political extremist content or personal attacks on individuals
- If a request violates these guidelines, respond with: "I cannot create this meme as it may contain inappropriate content. Please try a different request."
Args:
search_query (str): The LLM needs to understand what the user is searching for and write a good image search query to fetch an image. If required, use the words 'meme' or 'template' in the search query.
meme_text (str): A short and funny text to be put on the image.
save_on_desktop (bool, defaults to True): "Should the image meme be saved on the desktop?"
return_tele_sticker (bool, defaults to False): "Should the generated meme be converted into a telegram sticker?"
Returns:
str: The saved links.
| Name | Required | Description | Default |
|---|---|---|---|
| search_query | Yes | The LLM needs to understand what the user is searching for and write a good image search query. | |
| meme_text | Yes | A short and funny text that has to be on the meme image. | |
| save_on_desktop | No | Should the image meme be saved on the desktop? | |
| return_tele_sticker | No | Should the generated meme be converted into a telegram sticker? |
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 effectively describes content guardrails, rejection criteria, and response behavior for violations (e.g., 'respond with: "I cannot create this meme..."'). However, it lacks details on technical behaviors like rate limits, error handling, 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?
The description is front-loaded with key information but includes verbose content guardrails that could be condensed. While the structure is logical, some sentences (e.g., detailed guardrail lists) could be more concise without losing clarity, making it moderately efficient but not optimal.
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 annotations and no output schema, the description provides good context for a tool with 4 parameters and content restrictions. It covers purpose, usage, behavior, and parameters adequately, though it could benefit from more detail on output format or error cases to be fully comprehensive.
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. The description adds minimal value beyond the schema, such as noting that search queries should include 'meme' or 'template' if needed, but does not provide significant additional semantic context. This 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: 'generate a meme using an image search on the web.' It specifies the action (generate), resource (meme), and method (image search), and distinguishes it from its sibling tool 'generate_meme_from_meme_template()' by emphasizing web search versus template usage.
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 usage guidelines: 'ALWAYS PREFER USING AN EXISTING TEMPLATE USING `generate_meme_from_meme_template()`. UNLESS THE USER EXPLICITLY ASKS TO SEARCH.' This clearly states when to use this tool versus the alternative, including a specific condition for its use.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
generate_meme_from_meme_templateA
THIS TOOL IS TO BE CALLED IF THE USER WANTS TO GENERATE A MEME USING AN EXISTING TEMPLATE. ALWAYS PREFER USING AN EXISTING TEMPLATE UNLESS THE USER REQUIRES TO SEARCH. IN THE CASE OF SEARCHING, USE: `generate_meme_by_searching()`.
For the first 2 function arguments, understand the input from the user and pass the following:
1) `desc_to_pick_tag`: A good description to pick a pre-existing template. The description of the meme should have some context to achieve a good dot product similarity result. Please see a below example.
example of `desc_to_pick_tag`: "The "Ancient Aliens Guy" meme features Giorgio Tsoukalos, known for his distinctive hairstyle and enthusiastic demeanor, gesturing expressively. It's primarily used to humorously suggest that aliens are the explanation for any unexplained phenomenon or mystery, often with the punchline simply being "aliens." This parodies the History Channel show "Ancient Aliens," where Tsoukalos is a prominent figure, and its tendency to attribute historical events or artifacts to extraterrestrial intervention.",
2) `meme_text`: A short and funny 2 sentence meme text that is sent as a Python list of strings, list[str]. Each line is an element of an array. PLEASE ENSURE LIST IS ONLY OF 2 ELEMENTS. For e.g., ['Nice meme you got there..', 'Now it is stolen...']
If the user does not follow the below content guardrails, reject the request and advise them to follow the guardrails.
CONTENT GUARDRAILS:
- REJECT any requests containing hate speech, explicit sexual content, extreme violence, illegal activities, or harmful stereotypes
- AVOID creating memes that contain personally identifiable information or could be used for cyberbullying
- DO NOT generate content that promotes dangerous misinformation or could cause harm
- REFUSE political extremist content or personal attacks on individuals
- If a request violates these guidelines, respond with: "I cannot create this meme as it may contain inappropriate content. Please try a different request."
Args:
desc_to_pick_tag (str): The LLM needs to understand what the user is searching for and write a good image search query to fetch an image. If required, use the words 'meme' or 'template' in the search query.
meme_text (list[str]): A short and funny text to be put on the image. Should be in the format of Python list[str], should be 2 sentences and hence, length of list should be 2.
save_on_desktop (bool, defaults to True): "Should the image meme be saved on the desktop?"
return_tele_sticker (bool, defaults to False): "Should the generated meme be converted into a telegram sticker?"
Returns:
str: The saved links.
| Name | Required | Description | Default |
|---|---|---|---|
| desc_to_pick_tag | Yes | ||
| meme_text | Yes | 2 sentences that has to be on the meme image. Should be funny and contained. Should be a Python List of Strings. | |
| save_on_desktop | No | Should the image meme be saved on the desktop? | |
| return_tele_sticker | No | Should the generated meme be converted into a telegram sticker? |
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 discloses key behavioral traits: content guardrails (rejection criteria and response format), parameter constraints (e.g., 'list is only of 2 elements'), and output behavior ('saved links'). However, it lacks details on error handling, performance, or side effects like file system changes, leaving some gaps 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 front-loaded with purpose and usage guidelines, but it includes verbose sections like the example and content guardrails that could be streamlined. While informative, some sentences (e.g., detailed rejection criteria) are lengthy and could be more concise without losing clarity, affecting overall efficiency.
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 complexity (4 parameters, no output schema, no annotations), the description is mostly complete. It covers purpose, usage, parameters, constraints, and behavioral rules. However, it lacks details on the output format beyond 'saved links' (e.g., what type of links, error responses), and does not address potential side effects or performance considerations, leaving minor gaps.
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 75%, with two parameters well-documented in the schema. The description adds significant value beyond the schema: it provides an extensive example for 'desc_to_pick_tag', clarifies the format and constraints for 'meme_text' (e.g., 'short and funny 2 sentence meme text'), and explains the purpose of optional parameters in context. This compensates well for the schema's gaps.
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: 'generate a meme using an existing template.' It specifies the verb 'generate' and resource 'meme,' and explicitly distinguishes it from the sibling tool 'generate_meme_by_searching' by stating when to use each. This provides specific differentiation and avoids redundancy with the tool name.
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 usage guidelines: 'ALWAYS PREFER USING AN EXISTING TEMPLATE UNLESS THE USER REQUIRES TO SEARCH. IN THE CASE OF SEARCHING, USE: `generate_meme_by_searching()`.' It clearly defines when to use this tool versus the alternative, including a specific condition ('unless the user requires to search'), making it highly actionable for an AI agent.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
TDQS
The two tools have clearly distinct purposes: one searches the web for images to create memes, while the other uses pre-existing templates. Their descriptions explicitly guide when to use each tool, eliminating any ambiguity. The separation is logical and well-defined.
Both tools follow a consistent verb_noun pattern with 'generate_meme_' prefix, and the suffixes ('by_searching', 'from_meme_template') clearly indicate their methods. The naming is uniform and predictable across the set.
Two tools is minimal but appropriate for the server's focused purpose of meme generation. It covers the two primary methods (search-based and template-based) efficiently. While slightly thin, it avoids redundancy and each tool earns its place.
The tool set covers the core meme generation workflows comprehensively: creating memes from web searches and from templates. Minor gaps might include editing or deleting generated memes, but the primary functionality is well-covered for the domain.
Maintenance
Resources
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