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by VectorYQ • Security & Privacy
A curated collection of reference and community Model Context Protocol (MCP) server implementations that give LLMs secure, controlled access to tools and data sources.
Secure, standardized access to external tools and data sources (databases, file systems, web search, cloud services) via MCP tools.
Perform data retrieval and RAG-style workflows (vector stores, knowledge bases, search) using community-built MCP servers.
Automate or query infrastructure and SaaS platforms (GitHub, Slack, Google Drive, Kubernetes, cloud providers) through vetted reference implementations.
This repository aggregates reference implementations and third‑party MCP servers (TypeScript and Python) demonstrating how to expose tools, data sources, and workflows to LLM agents via the Model Context Protocol. It includes official reference servers, many community integrations, framework tooling, and resources to discover and run MCP servers locally or via registries. The project is managed by Anthropic and published under an open source MIT license to encourage community contributions and extensibility.
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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