Build and run an AI sales agent for your business
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
Pushwoosh ManyMoney
Drive your Pushwoosh project in natural language — build segments, presets, and customer journeys, diagnose delivery, and analyze campaign performance, right from your AI client.
item
Search, analyze, and act on CRM data
Adspirer Retail Media Ads
Retail media agent for Amazon Ads and Walmart Connect — Sponsored Products, Sponsored Brands and Sponsored Display. Plans, launches, and optimizes your retail advertising campaigns with your approval
Clutch.co
Find the perfect B2B company with verified client reviews
RSVPify
Run your event operations in RSVPify, end-to-end
Useful MCP listing: MyChatBot is the kind of server we cite when onboarding engineers to host + tool permissions.
I recommend MyChatBot for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
We evaluated MyChatBot against two servers with overlapping tools; this profile had the clearer scope statement.
We wired MyChatBot into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
According to our notes, MyChatBot benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
MyChatBot is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Useful MCP listing: MyChatBot is the kind of server we cite when onboarding engineers to host + tool permissions.
According to our notes, MyChatBot benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Strong directory entry: MyChatBot surfaces stars and publisher context so we could sanity-check maintenance before adopting.
MyChatBot is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
showing 1-10 of 51
Share your MCP server with the developer community
Select a client to integrate this server.
Manual configuration
{
"mcpServers": {
"mychatbot": {
"url": "https://connector.mychatbot.app/mcp"
}
}
}Sign in: Required.
Build and run an AI sales agent for your business
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.
Domino's India
Discover, customise, and order your favourite Domino's meals—all without leaving the conversation.