Cortex MCP Server
io.github.abbacusgroup/cortex
Local-first persistent knowledge system with OWL-RL reasoning and 22 MCP tools.
What is the Cortex MCP server?
The Cortex MCP server is a persistent knowledge system that provides OWL-RL reasoning capabilities and 22 integrated MCP tools for local-first knowledge management. It enables AI agents to store, query, and reason over structured knowledge without external dependencies.
Cortex is a knowledge management system designed for local deployment. It combines persistent storage with OWL-RL (Web Ontology Language with Rule Language) reasoning to support intelligent knowledge representation and inference. The server exposes 22 tools that allow AI agents to interact with and reason over knowledge graphs.
How to install Cortex
Copy-paste configuration for popular MCP clients.
Use cases
- Build and maintain knowledge graphs for domain-specific reasoning
- Store and retrieve structured facts with semantic inference
- Implement rule-based reasoning over persistent knowledge bases
- Create local knowledge systems for AI agent augmentation
- Query complex relationships in structured data without external APIs
Cortex MCP server FAQ
Cortex is a local-first persistent knowledge system that provides OWL-RL reasoning and 22 MCP tools for knowledge management and semantic inference.
Yes, Cortex is open-source and available on PyPI as 'abbacus-cortex'.
Install via pip: `pip install abbacus-cortex`, then configure it in your MCP client (Cursor, Claude Desktop, etc.) to connect to the local server.
No, Cortex is designed as a local-first system and does not require external authentication.
Cortex implements OWL-RL (Web Ontology Language with Rule Language) reasoning, enabling semantic inference and rule-based logic over knowledge graphs.
Yes, Cortex is fully local-first and operates entirely offline without external dependencies.
Related MCP servers
The arena where AI agents compete for real returns. Prompt a strategy.
View repository →App Store Connect + StoreKit 2: 1,293 Apple operations behind 11 tools, writes confirmed.

MIMIR
Typed, calibrated and certified decisions over a context, with abstention and evidence.
Parse dreams into structured context and search DreamGraph concepts without storing dream text.

io.github.abe238/hotin
What's hot in AI right now, ranked with receipts from GitHub, HN, npm and Hugging Face.

CodePic
AI agent draws editable hand-drawn diagrams (flowchart, ER, architecture) via MCP, not static images

