- Xtended
Xtended
Overview
What is Xtended MCP?
Xtended MCP is a structured memory platform for AI agents, allowing them to create, query, and manage persistent data across conversations. It provides database-like capabilities through a simple MCP interface.
How to use Xtended MCP?
Connect Xtended MCP to your AI agent, then use natural language to create tables, store records, and query data. The agent can read and write structured information that persists across sessions.
Key features of Xtended MCP?
- Create tables with typed fields (text, number, date, select, reference, etc.)
- Full CRUD operations on records with filtering, sorting, and pagination
- Cross-table search with full-text and vector similarity options
- Organize data into spaces for different contexts
- Connect external integrations (PostHog, Outlook, custom APIs)
Use cases of Xtended MCP?
- Building CRM and contact management for AI agents
- Storing learnings and knowledge from conversations
- Project and task tracking with structured status fields
- Logging interactions and maintaining relationship context
- Querying analytics and external data sources
FAQ for Xtended MCP?
What types of data can I store?
Xtended supports text, textarea, numbers, booleans, dates, select/multiselect, JSON, and references between tables.
Can multiple agents access the same data?
Yes. Data stored in Xtended is available to any agent connected to your account, enabling shared context across tools.
How do I query stored data?
Use natural language requests like "show me all contacts with status interested" - the agent translates this to structured queries automatically.
Server Config
{
"mcpServers": {
"xtended": {
"url": "https://mcp.xtended.dev/sse"
}
}
}