YesNo MCP. Let your agent make random, visual choices.
Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
YesNo delivers instant random decisions—yes, no, or maybe—and pairs them with animated GIFs for visual confirmation. Use YesNo to let your AI agent make quick choices, break internal debates, or just add some fun flair when making trivial calls.
It's a simple way to inject structured randomness into any workflow without needing an API key.
What your AI agents can do
Get decision
Gets a random yes/no/maybe decision. You can optionally force the result by passing specific parameters.
The tool returns an unbiased 'yes', 'no', or 'maybe' result for immediate use.
You can mandate the agent reports a specific answer (yes, no, or maybe) using parameters.
Every generated decision includes a GIF URL that visualizes the choice in the chat interface.
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Supported MCP Clients
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YesNo MCP Server: 1 Tool for Decision Generation
The `get_decision` tool allows your agent to generate a random yes, no, or maybe result and includes an accompanying GIF URL.
019e5d68get decision
Gets a random yes/no/maybe decision. You can optionally force the result by passing specific parameters.
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Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
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What you can do with this MCP connector
Listen up. This server gives your AI agent random decisions—yes, no, or maybe—and it throws in animated GIFs so you can actually see the choice when it pops up. You use this tool when you need to break an internal debate or just inject some quick, structured randomness into a chat log without having to mess with any API keys yourself.
It's simple, man. Your agent calls the get_decision tool, and that's it.
When you need pure chance—you know, when the decision doesn't matter but you gotta pick something—your AI client uses get_decision. You don't have to worry about bias; this thing spits out an unbiased result: 'yes,' 'no,' or 'maybe.' The tool handles the randomness for ya. With every single choice it makes, it sends back a GIF URL.
This means the response isn't just text; you get instant visual confirmation right in your chat interface, which is clutch when you're trying to keep track of what decision was made.
But sometimes pure chance ain't gonna cut it. If you know exactly what answer you need the agent to report—maybe for testing a specific flow or just because the boss told ya to pick 'no' and nothing else will do—you can force the outcome. You pass parameters directly to get_decision that mandate the answer, telling your agent it must report either 'yes,' 'no,' or 'maybe.' Even when you’re forcing a specific result with those parameters, the server doesn't forget about the visuals; it still pairs that mandated decision with an appropriate GIF URL.
You get your required text output plus the corresponding visual flair.
The whole mechanism is built around three core actions. First, generating random decisions: this tool provides an unbiased 'yes,' 'no,' or 'maybe' result on demand. Second, forcing specific outcomes: you use the optional force parameters if your workflow demands a concrete answer—whether that’s making sure the agent says 'yes' despite what it might normally choose.
Third, providing visual confirmation: every single decision generated includes a unique GIF URL that populates your chat interface, clarifying exactly which choice was made at that moment.
It’s perfect for those little moments where you gotta settle something quick or just need some fun flavor in the log. Whether you're using it to make an arbitrary call or breaking up a long-running argument, all you do is trigger get_decision. It handles the randomness, enforces your parameters if needed, and makes sure you see a matching GIF for every single outcome.
How YesNo MCP Works
- 1 Subscribe to this server. No API key is needed because it's a public service.
- 2 Your agent calls the
get_decisiontool, optionally passing parameters like 'force'. - 3 The server returns the random choice (yes/no/maybe) and a GIF URL, which your AI client displays to the user.
The bottom line is you get instant, visually confirmed answers from the API using only one tool call.
Who Is YesNo MCP For?
Anyone who needs their agent to make choices when logic fails. This is for content creators needing quick reactions, developers building test workflows that need randomness, or automation engineers making sure a process doesn't get stuck on a binary decision.
Needs to add fun, unpredictable elements to bot responses or build testing environments that require varied, non-deterministic outcomes.
Requires a rapid way to generate visual reactions (GIFs) based on simple random logic for social media content or scripts.
Uses the tool to break deadlocks in multi-step workflows, forcing an arbitrary decision when strict conditional logic isn't possible.
What Changes When You Connect
- Randomize decisions easily. You don't have to write complex logic for tie-breaking; just call
get_decisionand let the tool decide between yes, no, or maybe. - Visual confirmation is automatic. Every choice comes with a matching GIF URL, so your users see the answer and get visual flair in the chat window.
- Control the outcome if needed. If you need an agent to report 'yes' regardless of randomness, use the optional force parameter on
get_decisionto mandate the output. - Simple setup. It needs no API key and works right out of the box for testing or production workflows.
- Use it as a neutral party. You can deploy your AI agent to act like an oracle, making binary or ternary choices when human input is impossible.
Real-World Use Cases
Need a quick tie-breaker for content ideas?
You're stuck between two blog topics. Instead of arguing in the chat, you ask your agent to run get_decision. The result might be 'no,' suggesting you pivot entirely and try something new. The GIF adds a nice visual punch when announcing the random winner.
Testing conditional logic flow.
A developer needs to test how their agent handles success/failure paths without actual data. They call get_decision and force an 'maybe' outcome, verifying that subsequent code blocks correctly handle the ambiguous result.
Simulating user input for a game.
Your chat bot needs to know if a player accepts or declines a quest. Instead of hardcoding responses, you use get_decision to simulate random player choices, making the testing realistic and variable.
Creating interactive onboarding tutorials.
When an agent guides a new user through setup steps, it can pause and ask, 'Should we proceed?' By calling get_decision, you simulate real-time user hesitation or agreement, making the tutorial feel more natural.
The Tradeoffs
Trying to use YesNo for complex calculations.
Asking the agent to calculate quarterly revenue based on a 'yes'/'no' answer. The tool only gives a random decision, not financial data or logic.
→
Use get_decision purely for binary choices (Yes/No). If you need math or complex data manipulation, use a dedicated calculator or database interaction server instead.
Relying on YesNo to remember context.
Assuming that if the agent gets 'no' now, it automatically remembers why in the next turn. The tool provides an answer and a GIF; it doesn't store history or state.
→
Keep decision-making limited to single calls. If you need persistence, ensure your overarching workflow manages conversation history outside of the get_decision call.
Overthinking the 'maybe'.
Treating a random 'maybe' as a requirement for follow-up actions. A 'maybe' is an ambiguous result, not an actionable input.
→
If 'maybe' stalls your workflow, use the optional force parameter in get_decision to dictate what the agent should report next, moving the process forward.
When It Fits, When It Doesn't
Use YesNo when you need unpredictable inputs or a fun way to break a deadlock. If your workflow is deterministic—meaning step B must happen if step A happened—you shouldn't use this tool; it only provides randomness. Don't use it if you need data retrieval (use a database server) or calculation (use a math tool). However, if you have an open-ended choice and just want the AI to make an arbitrary call, get_decision is perfect. It’s designed for fun utility, not core business logic.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by YesNo. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 1 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Deciding on content direction shouldn't feel like a debate.
Today, choosing between two options—say, which topic to write about next or whether to launch feature X—often devolves into endless back-and-forth in Slack. You end up copying the choices into a spreadsheet and assigning votes, wasting time until someone finally forces a decision.
With YesNo MCP Server, you let your agent handle the debate. One simple tool call to `get_decision` returns an answer—yes, no, or maybe—and gives it visual weight with a GIF. You get instant closure on the choice.
YesNo: Get random decisions and fun GIFs in one step.
Before this server, if you needed randomness for testing, you'd have to write complex pseudo-random number generators or rely on external APIs just for a simple 'should we do it?' question. It was overkill.
Now, the agent calls `get_decision`, gets the result, and displays a GIF. The choice is immediate, reliable, and requires zero boilerplate code from you.
Common Questions About YesNo MCP
How do I use YesNo to make my AI agent choose? +
Just ask your agent to run the get_decision tool. It will return a random yes, no, or maybe result, and display a GIF for visual confirmation.
Does the YesNo MCP Server require an API key? +
Nope. This is a public service, so you don't need to worry about keys or credentials when connecting it to your agent.
Can I force YesNo to give me 'yes' even if I don't want it to? +
Yes. The get_decision tool has an optional force parameter. Passing this parameter allows you to mandate a specific outcome (yes, no, or maybe).
Is YesNo better than just using random numbers in code? +
Yeah, because it gives you more than just a number; it gives context and a GIF. The visual feedback makes the decision clearer for the end user.
What is the expected data format when I use the YesNo `get_decision` tool? +
The tool returns a structured object containing both the chosen answer and its corresponding GIF URL. This structure makes it easy for your AI client to parse the result directly into your conversation flow.
How does YesNo handle potential rate limits or excessive calls? +
Because this is a public API, you should implement standard retry logic in your agent's code. If you hit usage limits, wait a short period and try the get_decision tool again.
Can I repeatedly use YesNo within a single conversation thread? +
Yes. The server is stateless, meaning each call to get_decision starts fresh. You can ask it for multiple random or forced decisions without affecting previous results in the chat history.
What should my agent do if the YesNo tool encounters an API error? +
Your agent needs basic error handling (a try/catch block). If get_decision fails, have your client fall back to a default response rather than crashing or generating an error message.
Can I force the tool to return a specific answer like 'yes'? +
Yes! The get_decision tool includes an optional force parameter. You can specify 'yes', 'no', or 'maybe' to get that exact answer along with a corresponding GIF.
Does the response always include a GIF? +
Every successful call to get_decision returns a JSON object containing the answer string and a direct URL to an animated GIF from the YesNo.wtf library.
Is an API key required to use this server? +
No. This server connects to the public YesNo.wtf API which does not require authentication. You can start using it immediately after subscribing.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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