About UseCortex MCP
UseCortex MCP is a server that gives AI coding agents persistent, topic-organized knowledge they can read and update. It supports MCP-compatible clients and encrypts stored knowledge.
Key features
- 01Read and write knowledge
- 02Organize entries by topic
- 03Natural-language knowledge queries
- 04Keyword search and topic retrieval
- 05Encrypted storage
Use cases
- 01Sharing project context across coding agents
- 02Keeping coding standards available to an agent
- 03Providing policies to a support bot
- 04Recording decisions and discoveries
MCP support
The MCP server exposes tools for querying, searching, listing, and adding knowledge, as well as session-memory tools on eligible plans. MCP-compatible clients connect to its endpoint using an API key.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project README
UseCortex MCP Server
Give your AI coding agent a persistent memory — read and write knowledge from any tool.
Website · Quick Start · Tools · Pricing
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 No outdated docs.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
- You chat — describe your coding standards, architecture decisions, client requirements, anything
- UseCortex extracts — AI automatically organizes facts into structured topics
- Your agent recalls — any MCP-compatible tool can query your knowledge instantly
- 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.
Manual setup (alternative)
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.
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
- UseCortex — Create your account and manage knowledge
- cortex-cli — CLI for markdown sync & terminal usage
- Model Context Protocol — Learn about MCP
License
© 2026 Altazi Labs, Inc. All rights reserved. · [email protected]
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.