Agent Alignment Checker Connector for AI agents.
3 live capabilities
Validate agent persona and capability compatibility for multi-agent frameworks
Waiting for input…
Why people use Agent Alignment Checker
Preventing Agent Failures with Agent Description & capability Alignment Checker
This MCP changes that by adding a validation layer to your development process. Instead of waiting for a failure in the middle of a long-running job, you can check the alignment of your agent's persona and its capabilities upfront. You get a clear, mathematical view of whether your agent is actually equipped for the work you've described.
What Vinkius changes
You stop debugging failed agent loops caused by missing or irrelevant capabilities.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Fixing the 'Researcher with no Search' error
An engineer defines a researcher agent in CrewAI but forgets to add a web search capability.
- Real-world use case 02
Auditing large AutoGen swarms
A developer manages twenty different agents.
- Real-world use case 03
Refining agent personas
A designer writes a long, flowery description for an agent.
Complete set · 3capabilities
The complete Agent Alignment Checker capability set.
These are the exact actions your AI can choose when you ask it to work with Agent Alignment Checker.
01—03
3 capabilities in this set.
Part of 3 available through Agent Alignment Checker.
- 01 Capability
Analyze agent alignment
Compares an agent's stated purpose against its assigned capabilities. It identifies if an agent is being asked to do things it cannot actually perform.
- 02 Capability
Extract keywords
Identifies the functional core of a text block. It isolates the specific action and capability tokens within an agent's description.
- 03 Capability
Get summary
Provides a high-level status report. It gives you a quick look at the functional readiness of your agent setup.
Set up in minutes
One URL. Then ask Agent Alignment Checker to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Agent Alignment Checker from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_cqaWipKDmAmjvveDEIkrlGf1b2a5h7ihAktH6V5C/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Agent Alignment Checker, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Agent Alignment Checker for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_cqaWipKDmAmjvveDEIkrlGf1b2a5h7ihAktH6V5C/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Agent Alignment Checker URL.
- Step 03
Save and start
Save the connection and enable Agent Alignment Checker in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"agent-description-tool-alignment-checker": {
"url": "https://edge.vinkius.com/vk_preview_cqaWipKDmAmjvveDEIkrlGf1b2a5h7ihAktH6V5C/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Agent Alignment Checker
Open Agent mode in chat and ask: "Using Agent Alignment Checker, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"agent-description-tool-alignment-checker": {
"url": "https://edge.vinkius.com/vk_preview_cqaWipKDmAmjvveDEIkrlGf1b2a5h7ihAktH6V5C/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Agent Alignment Checker
Ask Copilot: "Using Agent Alignment Checker, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"agent-description-tool-alignment-checker": {
"url": "https://edge.vinkius.com/vk_preview_cqaWipKDmAmjvveDEIkrlGf1b2a5h7ihAktH6V5C/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Agent Alignment Checker
Open Cascade and ask: "Using Agent Alignment Checker, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"agent-description-tool-alignment-checker": {
"url": "https://edge.vinkius.com/vk_preview_cqaWipKDmAmjvveDEIkrlGf1b2a5h7ihAktH6V5C/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Agent Alignment Checker
Ask Cline: "Using Agent Alignment Checker, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add agent-description-tool-alignment-checker --transport http "https://edge.vinkius.com/vk_preview_cqaWipKDmAmjvveDEIkrlGf1b2a5h7ihAktH6V5C/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Agent Alignment Checker
Ask Claude: "Using Agent Alignment Checker, show me...". 3 tools are ready
Where the request belongs
Work Agent Alignment Checker can move forward.
This is for developers and AI engineers building complex multi-agent workflows who are tired of agents getting stuck in loops because their instructions don't match their toolsets.
AI Engineer
Validates agent configurations in CrewAI or AutoGen before deploying large-scale autonomous runs.
LLM Developer
Uses semantic analysis to ensure agent personas are logically consistent with their provided toolkits.
Agentic Workflow Architect
Audits complex multi-agent ecosystems to ensure every agent is properly equipped for its specific role.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsAnthropic
Access Claude models via Anthropic API. send messages, count tokens, manage batches and discover models from any AI agent.
OpenAI
Use GPT-4o, DALL-E 3, embeddings, fine-tuning, and moderation as capabilities inside your AI agent workflows.
Apple App Store
Manage your iOS apps and TestFlight builds with Apple App Store Connect. track reviews, versions, and sales via AI.
Zapier
Monitor automated workflows, audit app connections, and search for Zap templates on Zapier. the leader in AI orchestration.
X Ads (Twitter)
Connect your X Ads account to any AI agent. audit campaigns, analyze line item performance, and pull engagement reports through natural conversation.
Box
Store, share, and collaborate on files securely with enterprise-grade cloud content management and governance controls.
Bring your own AI
Change the model, client or framework. Keep Agent Alignment Checker connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Agent Alignment Checker.
The practical details behind the request, access and result.
How can the Agent Description & Capability Alignment Checker help my AI agents?
It prevents your agents from failing by ensuring the tasks they are told to do actually match the capabilities they have available. It catches mismatches before you run your workflows.
Can I use the Agent Description & Capability Alignment Checker with CrewAI?
Yes, this MCP is specifically designed to validate configurations for multi-agent frameworks like CrewAI, helping you ensure your agent personas are correctly equipped.
Does the Agent Description & Capability Alignment Checker work with AutoGen?
Yes, it works perfectly with AutoGen to help you audit your agent swarms and ensure every agent has the right capabilities for its role.
How do I know if my agent is misaligned using this MCP?
The MCP provides an alignment score and specific feedback. If the score is low, it means the agent's description and its capabilities don't overlap enough to be functional.
Will the Agent Description & Capability Alignment Checker reduce my API costs?
Indirectly, yes. By catching capability mismatches early, you avoid running long, expensive agent loops that fail because the agent lacks the necessary capabilities.
What does this capability help prevent?
It prevents errors in multi-agent frameworks where an agent is assigned tasks it cannot actually perform due to missing or irrelevant capabilities.
How is the alignment score calculated?
The score is the ratio of shared semantic keywords between the agent's description and the capability's functional capabilities.
Can I use this with CrewAI?
Yes, it is specifically designed to resolve mismatch errors in frameworks like CrewAI and AutoGen.
One connection away
Give your agent a direct line to Agent Alignment Checker.
Connect Agent Alignment Checker once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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