UseCortex

UseCortex MCP Server

Give your AI coding agent a persistent memory — read and write knowledge from any tool.

usecortex-mcp MCP server

Website · Quick Start · Tools · Pricing

UseCortex demo — store knowledge, query from any AI agent

--- UseCortex MCP is a [Model Context Protocol](https://modelcontextprotocol.io) 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 No outdated docs.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](https://usecortex.net) account - An MCP-compatible AI coding agent ### 1. Generate an API key Sign up at [usecortex.net](https://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: ```bash 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.
Manual setup (alternative) If you prefer to configure manually, add this to your MCP client config file: ```json { "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.
## 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](https://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](https://github.com/usecortex-official/cortex-mcp/issues). ## Links - [UseCortex](https://usecortex.net) — Create your account and manage knowledge - [cortex-cli](https://github.com/usecortex-official/cortex-cli) — CLI for markdown sync & terminal usage - [Model Context Protocol](https://modelcontextprotocol.io) — Learn about MCP ## License [MIT](LICENSE) --- © 2026 Altazi Labs, Inc. All rights reserved. · [contact@altazilabs.com](mailto:contact@altazilabs.com)