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Aggregator — MCP Servers

Aggregates tools from multiple MCP servers into a vector database, enabling Large Language Models t…

Quick Info

Category
analytics

Tags

mcp
ai
database
research
analytics

Overview

Aggregates tools from multiple MCP servers into a vector database, enabling Large Language Models to efficiently search and utilize a collective set of capabilities. This MCP server integrates with the Model Context Protocol to provide AI agents and applications with structured access to Aggregator's capabilities. The server enables seamless interaction between LLMs and the underlying services through standardized protocols. Key integration points include: - Direct API access through MCP tools - Structured data exchange with AI agents - Real-time interaction capabilities - Standardized protocol compliance The server is designed to work with popular MCP clients like Claude Desktop, Cursor, and other AI development environments.

Key Features

Model Context Protocol integration
AI agent compatibility
Standardized API access

Use Cases

Leverage Aggregator for analytics tasks
Integrate Aggregator with Claude and other AI assistants
Streamline analytics processes using MCP protocol