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by bitflower • APIs & Integration
A collection of reference implementations for the Model Context Protocol (MCP) showcasing how it can securely connect LLMs to various tools and data sources.
Retrieve and interact with cloud-based data sources securely.
Controlled access to APIs and platforms like Google Maps, Redis, and GitHub.
Perform secure file and database operations.
This repository contains a comprehensive set of reference implementations for the Model Context Protocol. It aims to demonstrate the versatility and extensibility of MCP by providing reference servers that showcase secure and controlled access to various tools, platforms, and data sources for Large Language Models (LLMs). These reference servers are implemented using the TypeScript or Python MCP SDKs.
Create multiple new entities in the knowledge graph
Create multiple new relations between entities in the knowledge graph. Relations should be in active voice
Add new observations to existing entities in the knowledge graph
Delete multiple entities and their associated relations from the knowledge graph
Delete specific observations from entities in the knowledge graph
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