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Works with

Claude CodeClaude DesktopCursorVS CodeClineCodex CLIOpenClaw+ any MCP client

Install to Claude Code

This server doesn't publish a one-line install command. Follow the setup in the source repository.

Summary

darktw/usecortex-mcp MCP server](https://glama.ai/mcp/servers/darktw/usecortex-mcp/badges/score.svg)](https://glama.ai/mcp/servers/darktw/usecortex-mcp) ☁️ - Persistent knowledge memory for AI agents.

README.md

<p align="center"> <img src="logo.png" alt="UseCortex" width="300" /> </p>

<h1 align="center">UseCortex MCP Server</h1>

<p align="center"> <strong>Give your AI coding agent a persistent memory — read and write knowledge from any tool.</strong> </p>

<p align="center"> <a href="https://glama.ai/mcp/servers/darktw/usecortex-mcp"><img width="380" height="200" src="https://glama.ai/mcp/servers/darktw/usecortex-mcp/badges/card.svg" alt="usecortex-mcp MCP server" /></a> </p>

<p align="center"> <a href="https://usecortex.net">Website</a> &middot; <a href="#quick-start">Quick Start</a> &middot; <a href="#available-tools">Tools</a> &middot; <a href="#pricing">Pricing</a> </p>

<p align="center"> <img src="demo.gif" alt="UseCortex demo — store knowledge, query from any AI agent" width="720" /> </p>

---

UseCortex MCP is a Model Context Protocol server that gives AI coding agents persistent memory. Your agent can read knowledge you've stored and write new discoveries back — all through a single encrypted endpoint.

No context window limits. No copy-pasting. No outdated docs. Your AI remembers everything.

How It Works

  1. You chat — describe your coding standards, architecture decisions, client requirements, anything
  2. UseCortex extracts — AI automatically organizes facts into structured topics
  3. Your agent recalls — any MCP-compatible tool can query your knowledge instantly
  4. Knowledge grows — your agent can push new discoveries back, so your knowledge base stays current

Features

  • Two-way knowledge flow — read context into projects, write discoveries back
  • Works with any MCP client — compatible with any AI coding agent that supports the Model Context Protocol
  • Encrypted at rest — AES-256 encryption with per-user keys
  • No vendor lock-in — your knowledge works across every AI tool
  • Structured by topic — knowledge auto-organized, not dumped in one pile

Quick Start

Prerequisites

  • A free UseCortex account
  • An MCP-compatible AI coding agent

1. Generate an API key

Sign up at usecortex.net, then navigate to Settings → API Keys → Generate.

Note: Copy the key immediately after generation. It will not be shown again.

2. Install (one command)

Run this in your terminal — replace YOUR_API_KEY with the key from step 1:

claude mcp add usecortex --transport url https://api.usecortex.net/mcp --header "Authorization: Bearer YOUR_API_KEY"

That's it. Restart your AI coding agent and UseCortex tools are ready.

<details> <summary>Manual setup (alternative)</summary>

If you prefer to configure manually, add this to your MCP client config file:

{
  "mcpServers": {
    "usecortex": {
      "type": "url",
      "url": "https://api.usecortex.net/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

Replace YOUR_API_KEY with the key generated in step 1.

</details>

Available Tools

query_knowledge

Ask a natural language question and get an AI-powered answer based on your stored knowledge.

| Parameter | Type | Required | Description | |-----------|----------|----------|------------------------------------------------| | query | string | Yes | Natural language question | | topic | string | No | Filter by specific topic |

list_topics

List all knowledge topics. Takes no parameters.

add_knowledge

Write new knowledge to your base. Your agent can store discoveries, decisions, or patterns it finds.

| Parameter | Type | Required | Description | |-----------|----------|----------|------------------------------------------------| | content | string | Yes | The knowledge to store | | topic | string | No | Topic to file under (auto-detected if omitted) |

get_topic

Retrieve all knowledge entries for a specific topic.

| Parameter | Type | Required | Description | |-----------|----------|----------|------------------------------------| | topic | string | Yes | Topic name to retrieve |

search_knowledge

Search knowledge entries by keyword (text match).

| Parameter | Type | Required | Description | |-----------|----------|----------|------------------------------------| | query | string | Yes | Search term |

capture_session (Memory plan)

Capture an AI session summary into persistent memory. Store what you learned, decided, or built.

| Parameter | Type | Required | Description | |----------------|------------|----------|------------------------------------------------| | summary | string | Yes | Compressed summary of the session | | tool | string | No | AI tool used (claude-code, cursor, chatgpt) | | project | string | No | Project name or path | | tags | string[] | No | Tags for categorization | | observations | string | No | Detailed observations as JSON string |

recall_memory (Memory plan)

Search across all captured session memories using AI. Ask what you worked on or what decisions were made.

| Parameter | Type | Required | Description | |-----------|----------|----------|------------------------------------------------| | query | string | Yes | Natural language question about past sessions | | tool | string | No | Filter by AI tool | | project | string | No | Filter by project | | limit | number | No | Max results (default 20) |

list_sessions (Memory plan)

List recent captured session memories.

| Parameter | Type | Required | Description | |-----------|----------|----------|------------------------------------| | tool | string | No | Filter by AI tool | | project | string | No | Filter by project | | limit | number | No | Max results (default 10) |

Use Cases

| Who | What | |-------------------|-----------------------------------------------------------------------| | Developers | Your coding standards, architecture decisions, and project context — automatically available to your AI agent | | Support teams | Feed real policies and procedures to any support bot — it answers with facts, not guesses | | Sales teams | Store client history, pricing, and objections — pull everything before meetings | | Individuals | Your personal brain backup — everything you know, encrypted and accessible from any AI tool | | HR & Onboarding | Your company playbook — processes, tools, culture — available to new hires instantly |

Pricing

| | Free | Pro ($9/mo) | Memory ($19/mo) | Team ($39/mo) | |--------------------------|------------|--------------|-----------------|---------------| | Knowledge entries | 100 | Unlimited | Unlimited | Unlimited | | Topics | 3 | Unlimited | Unlimited | Unlimited | | API calls/month | 500 | 10,000 | 50,000 | 200,000 | | Two-way API | Read only | Yes | Yes | Yes | | AI session capture | — | — | Yes | Yes | | Memory recall | — | — | Yes | Yes | | Markdown sync | — | — | Yes | Yes | | Session history | — | — | 90 days | Unlimited | | API keys | 1 | 5 | 10 | 50 | | Team members | — | — | — | 25 | | Audit logs | — | — | — | Yes |

Manage your plan at usecortex.net.

Security

  • All communication encrypted over HTTPS
  • Knowledge encrypted at rest with AES-256
  • Per-user encryption keys — even we can't read your data
  • API keys scoped per user with instant revocation

Contributing

Found a bug or have a feature request? Open an issue.

Links

License

MIT

---

© 2026 Altazi Labs, Inc. All rights reserved. · contact@altazilabs.com

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