Skip to main content
Glama

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 No outdated docs.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.

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.

License

MIT


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

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/darktw/usecortex-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server