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AICortex MCP Server

Self-hosted brain for any LLM: memory, skills, encrypted vault, devices and scheduled jobs.

AICortex scores 65 (Good), licensed Apache-2.0 and written in Python. It installs as a local process. It does not declare tools yet. Filed under AI and memory. GitHub shows 10 stars. Install configs are generated for 10 clients. Being listed in the registry is not the same as being vendor-official.

by ikarusmkApache-2.0Python10 stars
Trust score
65Good
Trust score 65 of 100, Good

Good trust

65 of 100 from six public signals. Nobody can buy a point.

  • Listed in the official MCP registry.
  • OSI-style license: apache-2.0.
How we score trust
Scorecard

License, quality and maintenance

How grades work
Trust breakdown

Where the 65 comes from

22 + 20 + 3 + 10 + 7 + 3 = 65. Each factor is capped, so no single signal can carry a listing.

Registry22 / 30

Active in the official MCP registry, plus a known vendor namespace.

Registry: 22 of 30 points.
Maintenance20 / 20

How recently the repository saw a commit or release.

Maintenance: 20 of 20 points.
Popularity3 / 20

GitHub stars and weekly downloads, on a log scale.

Popularity: 3 of 20 points.
License10 / 10

A clear, OSI-style open-source license.

License: 10 of 10 points.
Security7 / 10

Not archived, a secure install path, a pinned version.

Security: 7 of 10 points.
Docs3 / 10

A real summary, a README with depth, listed tools.

Docs: 3 of 10 points.

Install

Pick your client, copy the config, paste it in.

~/Library/Application Support/Claude/claude_desktop_config.json
{  "mcpServers": {    "ikarusmk-aicortex": {      "command": "docker",      "args": [        "run",        "-i",        "--rm",        "ghcr.io/ikarusmk/aicortex:v2.3.4"      ],      "env": {        "STORAGE_ENCRYPTION_KEY": "YOUR_STORAGE_ENCRYPTION_KEY",        "OIDC_CONFIG_URL": "",        "OIDC_CLIENT_ID": "",        "OIDC_CLIENT_SECRET": "YOUR_OIDC_CLIENT_SECRET",        "BASE_URL": "",        "JWT_SIGNING_KEY": "YOUR_JWT_SIGNING_KEY"      }    }  }}

Environment variables

NameRequiredNotes
STORAGE_ENCRYPTION_KEYSecretRequiredFernet key that encrypts the vault and the sign-in store (openssl rand -base64 32 | tr '+/' '-_')
OIDC_CONFIG_URLOptionalDiscovery URL of your own identity provider (sign-in for cloud LLM apps)
OIDC_CLIENT_IDOptionalClient ID registered at your identity provider
OIDC_CLIENT_SECRETSecretOptionalClient secret registered at your identity provider
BASE_URLOptionalPublic HTTPS URL of this server, e.g. https://agent.example.com
JWT_SIGNING_KEYSecretOptionalSigns the server's own tokens (openssl rand -hex 32)

Tools show up when the registry metadata or the repository README lists them. Public READMEs are read directly. A GitHub token is used only when one is already configured.

About

Self-hosted brain for any LLM: memory, skills, encrypted vault, devices and scheduled jobs.

Frequently asked questions

What is AICortex MCP Server?

Self-hosted brain for any LLM: memory, skills, encrypted vault, devices and scheduled jobs.

How do I install AICortex MCP Server in Claude Desktop, Cursor, or VS Code?

Pick your client in the Install section on this page and copy the generated config into the client's config file. Step-by-step guides: Claude Desktop, Cursor, and VS Code. AICortex MCP Server is published as the Docker image ghcr.io/ikarusmk/aicortex:v2.3.4.

Is AICortex MCP Server free and open source?

Yes. AICortex MCP Server is released under the Apache-2.0 license, an OSI-approved open-source license, so you can use, modify, and self-host it under those terms.

How is AICortex MCP Server's trust score calculated?

AICortex MCP Server scores 65 out of 100 (Good). The score adds six capped public signals: registry status, maintenance, popularity, license, documentation, and security. Nobody can pay for points. Read the methodology for the full formula.

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