usecortex-mcp

<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> · <a href="#quick-start">Quick Start</a> · <a href="#available-tools">Tools</a> · <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>

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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 No outdated docs.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

• UseCortex — Create your account and manage knowledge
• cortex-cli — CLI for markdown sync & terminal usage
• Model Context Protocol — Learn about MCP

License

MIT

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