Is io.github.abbacusgroup/cortex safe to use?

io.github.abbacusgroup/cortex has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install io.github.abbacusgroup/cortex?

io.github.abbacusgroup/cortex can be installed by cloning its GitHub repository and following the setup instructions in the README.

Is io.github.abbacusgroup/cortex actively maintained?

io.github.abbacusgroup/cortex is actively maintained — last commit was 1 day ago. It has 2 GitHub stars.

io.github.abbacusgroup/cortex

Persistent knowledge system with OWL-RL reasoning and 22 MCP tools. Local-first.

ActiveNot tested

AI / ML

★ 2GitHub

28DNo CVEsactive

Quick Install

{
  "mcpServers": {
    "io-github-abbacusgroup-cortex": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

Setup guide

No install config available. Check the server's README for setup instructions.

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[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-abbacusgroup-cortex)](https://mcppedia.org/s/io-github-abbacusgroup-cortex)

Should you use this server?

Persistent knowledge system with OWL-RL reasoning and 22 MCP tools. Local-first.

✓

Is it safe?

No package registry to scan.

No authentication — any process on your machine can connect.

License not specified.

✓

Is it maintained?

Last commit 1 days ago. 2 stars.

Will it work with my client?

Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.

README

Cortex

Cognitive knowledge system with formal ontology, reasoning, and intelligence serving.

Cortex captures knowledge objects (decisions, lessons, fixes, sessions, research, ideas), classifies them with an OWL-RL ontology, discovers relationships, reasons over the graph, and serves intelligence through hybrid retrieval.

Install

pip install abbacus-cortex[embeddings]
cortex setup

The setup wizard configures everything: LLM provider, embeddings, dashboard password, background services, and Claude Code registration.

Other install methods

Lightweight (no PyTorch — wizard offers to install embeddings):

pip install abbacus-cortex
cortex setup

Homebrew:

brew install abbacusgroup/tap/abbacus-cortex
cortex setup

From source:

git clone https://github.com/abbacusgroup/Cortex.git && cd Cortex
uv sync --extra embeddings
cortex setup

Docker:

docker compose up -d

For non-interactive installs (CI, scripts): cortex setup --auto uses environment variables.

Quick Start

cortex capture "Fix: Neo4j pool exhaustion" --type fix --content "Root cause was..."
cortex search "Neo4j"
cortex list
cortex context "Neo4j"
cortex dashboard                    # web UI at http://localhost:1315

Configuration

cortex setup writes configuration to ~/.cortex/.env. You can also edit it directly:

CORTEX_LLM_PROVIDER=anthropic
CORTEX_LLM_MODEL=claude-sonnet-4-20250514
CORTEX_LLM_API_KEY=sk-...
CORTEX_EMBEDDING_MODEL=all-mpnet-base-v2

See .env.example for all options.

CLI Commands

Command	Description
`cortex init`	Initialize data directory and stores
`cortex setup`	Interactive setup wizard
`cortex install`	Install background services (macOS/Linux)
`cortex uninstall`	Remove background services
`cortex register`	Register MCP server with Claude Code
`cortex capture`	Capture a knowledge object
`cortex search`	Hybrid keyword + semantic search
`cortex read`	Read object in full
`cortex list`	List objects with filters
`cortex status`	Health and counts
`cortex context`	Briefing mode (summaries)
`cortex dossier`	Entity-centric intelligence brief
`cortex graph`	Show object relationships
`cortex synthesize`	Cross-document synthesis
`cortex entities`	List resolved entities
`cortex serve`	Start MCP or HTTP server
`cortex dashboard`	Start web dashboard
`cortex backup`	Backup data directory to archive
`cortex restore`	Restore from backup archive
`cortex doctor`	Diagnostics: `check`, `unlock`, `logs`, `repair`
`cortex pipeline`	Re-run intelligence pipeline on an object
`cortex reason`	Run advanced reasoning (contradictions, patterns, gaps)
`cortex import-v1`	Import from Cortex v1 database
`cortex import-vault`	Import from Obsidian vault

MCP Tools

22 tools for AI agent integration. Localhost-bound HTTP exposes all; non-localhost binds expose only the public set.

Public: cortex_search, cortex_context, cortex_dossier, cortex_read, cortex_capture, cortex_link, cortex_feedback, cortex_graph, cortex_list, cortex_classify, cortex_pipeline

Admin (localhost only): cortex_status, cortex_synthesize, cortex_delete, cortex_reason, `cortex_qu

... View full README on GitHub

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

Help improve this page

This server is missing a description. Tools and install config are also missing.If you've used it, help the community.

Add information

Score Breakdown

MCPpedia Score

Click each category to see evidence

28D

Last scored 6h ago

How we score →

Security

3/30

No known vulnerabilities.

○

Known CVEs — No package registry to scan

○

Tool safety — No tools to analyze

○

Tool poisoning — No tools to analyze

○

Injection vectors — No tools to analyze

✓

Tool stability — Tool definitions stable

○

Dependency health — No package to analyze

✗

License — No license specified

○

Authentication — No authentication required

○

Repository — active repo

CVEs checked daily via OSV.dev. Score algorithm is open source.

Reviews

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Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.abbacusgroup/cortex safe to use?: io.github.abbacusgroup/cortex has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.abbacusgroup/cortex?: io.github.abbacusgroup/cortex can be installed by cloning its GitHub repository and following the setup instructions in the README.
What AI clients work with io.github.abbacusgroup/cortex?: io.github.abbacusgroup/cortex is compatible with Claude Desktop, Cursor, Claude Code, and most MCP clients that support stdio transport. It uses stdio transport.
Is io.github.abbacusgroup/cortex actively maintained?: io.github.abbacusgroup/cortex is actively maintained — last commit was 1 day ago. It has 2 GitHub stars.

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Discussion

Start a conversation

Ask a question, share a tip, or report an issue.

Has anyone used this with Cursor?How do you handle auth?Any alternatives?

Cortex

Cognitive knowledge system with formal ontology, reasoning, and intelligence serving.

Install

pip install abbacus-cortex[embeddings]
cortex setup

The setup wizard configures everything: LLM provider, embeddings, dashboard password, background services, and Claude Code registration.

Other install methods

Lightweight (no PyTorch — wizard offers to install embeddings):

pip install abbacus-cortex
cortex setup

Homebrew:

brew install abbacusgroup/tap/abbacus-cortex
cortex setup

From source:

git clone https://github.com/abbacusgroup/Cortex.git && cd Cortex
uv sync --extra embeddings
cortex setup

Docker:

docker compose up -d

For non-interactive installs (CI, scripts): cortex setup --auto uses environment variables.

Quick Start

cortex capture "Fix: Neo4j pool exhaustion" --type fix --content "Root cause was..."
cortex search "Neo4j"
cortex list
cortex context "Neo4j"
cortex dashboard                    # web UI at http://localhost:1315

Configuration

cortex setup writes configuration to ~/.cortex/.env. You can also edit it directly:

CORTEX_LLM_PROVIDER=anthropic
CORTEX_LLM_MODEL=claude-sonnet-4-20250514
CORTEX_LLM_API_KEY=sk-...
CORTEX_EMBEDDING_MODEL=all-mpnet-base-v2

See .env.example for all options.

CLI Commands

Command	Description
`cortex init`	Initialize data directory and stores
`cortex setup`	Interactive setup wizard
`cortex install`	Install background services (macOS/Linux)
`cortex uninstall`	Remove background services
`cortex register`	Register MCP server with Claude Code
`cortex capture`	Capture a knowledge object
`cortex search`	Hybrid keyword + semantic search
`cortex read`	Read object in full
`cortex list`	List objects with filters
`cortex status`	Health and counts
`cortex context`	Briefing mode (summaries)
`cortex dossier`	Entity-centric intelligence brief
`cortex graph`	Show object relationships
`cortex synthesize`	Cross-document synthesis
`cortex entities`	List resolved entities
`cortex serve`	Start MCP or HTTP server
`cortex dashboard`	Start web dashboard
`cortex backup`	Backup data directory to archive
`cortex restore`	Restore from backup archive
`cortex doctor`	Diagnostics: `check`, `unlock`, `logs`, `repair`
`cortex pipeline`	Re-run intelligence pipeline on an object
`cortex reason`	Run advanced reasoning (contradictions, patterns, gaps)
`cortex import-v1`	Import from Cortex v1 database
`cortex import-vault`	Import from Obsidian vault

MCP Tools

22 tools for AI agent integration. Localhost-bound HTTP exposes all; non-localhost binds expose only the public set.

Public: cortex_search, cortex_context, cortex_dossier, cortex_read, cortex_capture, cortex_link, cortex_feedback, cortex_graph, cortex_list, cortex_classify, cortex_pipeline

Admin (localhost only): cortex_status, cortex_synthesize, cortex_delete, cortex_reason, `cortex_qu

... View full README on GitHub