Portable, durable memory for every AI agent you use
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
Sprites
Let Claude manage your Sprites
Clio
Research the law, analyze dockets and develop case strategy with Clio Library and Clio Docket, with citations back to the sources.
Planday
Manage Planday scheduling (Early access)
Checkatrade
Find trusted local tradespeople and book fixed-price jobs — without leaving Claude.
AWS Web Search
Current, cited web results for Claude from an Amazon-operated web index, served through your own AWS account.
Badger Maps (Standard)
We wired Vertiso Memory into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
We wired Vertiso Memory into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
According to our notes, Vertiso Memory benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Useful MCP listing: Vertiso Memory is the kind of server we cite when onboarding engineers to host + tool permissions.
Vertiso Memory is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Vertiso Memory is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Useful MCP listing: Vertiso Memory is the kind of server we cite when onboarding engineers to host + tool permissions.
According to our notes, Vertiso Memory benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
We wired Vertiso Memory into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Useful MCP listing: Vertiso Memory is the kind of server we cite when onboarding engineers to host + tool permissions.
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Manual configuration
{
"mcpServers": {
"vertiso-memory": {
"url": "https://memory.vertiso.ai/mcp"
}
}
}Sign in: Required.
Portable, durable memory for every AI agent you use
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.
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