Get feedback on anything you build in Claude.
Add new capabilities to Claude beyond text generation
Example: Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example: Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example: Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Time estimate: 15-60 minutes depending on server complexity
Prerequisites
Robutler
Build, remix, and run apps with agents, together
Agility CMS
AI pipelines for developers and marketers. Model content, author pages, publish updates, and manage media across multiple Agility CMS instances through natural language.
Greenhouse
Connect Claude to Greenhouse. Search, analyze and update candidates, applications, jobs, interviews, scorecards, offers and more in plain language.
OneSignal
Agentic access to OneSignal’s customer engagement platform for messaging, users, and analytics.
Roboflow
Build, search, and run computer vision with Roboflow
dot. has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
According to our notes, dot. benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
We wired dot. into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
dot. is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
We wired dot. into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
According to our notes, dot. benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
dot. is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
dot. has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
We wired dot. into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
I recommend dot. for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
showing 1-10 of 34
Share your MCP server with the developer community
Select a client to integrate this server.
Manual configuration
{
"mcpServers": {
"leaveadot": {
"url": "https://mcp.leaveadot.com/mcp"
}
}
}Sign in: Required.
Get feedback on anything you build in Claude.
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Vertiso Memory
Portable, durable memory for every AI agent you use