usecortex-mcp
Supports synchronizing stored knowledge and persistent memory with Markdown files, allowing AI agents to manage and retrieve information in a structured document format.
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 No outdated docs.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
Related MCP server: amem
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 |
|
| Yes | Natural language question |
|
| 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 |
|
| Yes | The knowledge to store |
|
| No | Topic to file under (auto-detected if omitted) |
get_topic
Retrieve all knowledge entries for a specific topic.
Parameter | Type | Required | Description |
|
| Yes | Topic name to retrieve |
search_knowledge
Search knowledge entries by keyword (text match).
Parameter | Type | Required | Description |
|
| 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 |
|
| Yes | Compressed summary of the session |
|
| No | AI tool used (claude-code, cursor, chatgpt) |
|
| No | Project name or path |
|
| No | Tags for categorization |
|
| 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 |
|
| Yes | Natural language question about past sessions |
|
| No | Filter by AI tool |
|
| No | Filter by project |
|
| No | Max results (default 20) |
list_sessions (Memory plan)
List recent captured session memories.
Parameter | Type | Required | Description |
|
| No | Filter by AI tool |
|
| No | Filter by project |
|
| 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. · contact@altazilabs.com
Available Tools
8 toolsadd_knowledgeC
Write new knowledge to your base. Store facts, decisions, patterns, or any information your AI should remember.
Inputs: content (required), topic.
capture_sessionA
Capture an AI session summary into persistent memory. Store what you learned, decided, or built during this session. Requires Memory plan.
Inputs: summary (required), tool, project, tags, +1 more.
get_topicC
Retrieve all knowledge entries for a specific topic.
Inputs: topic (required).
list_sessionsB
List recent captured session memories. Requires Memory plan.
Inputs: tool, project, limit.
list_topicsB
List all knowledge topics in your base.
Inputs: no named parameters.
query_knowledgeB
Search your knowledge base using AI. Ask a natural language question and get an answer based on your stored knowledge.
Inputs: query (required), topic.
recall_memoryB
Search across all captured session memories using AI. Ask what you worked on, what decisions were made, or what patterns were found. Requires Memory plan.
Inputs: query (required), tool, project, limit.
search_knowledgeA
Search knowledge entries by keyword (text match). Use query_knowledge for AI-powered answers.
Inputs: query (required).
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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TDQS
Scored across 8 tools
Most tools have distinct purposes, but there is some overlap between query_knowledge and search_knowledge, as both involve searching knowledge, though their descriptions clarify different methods (AI-powered vs. keyword). The other tools target clearly different operations like adding, retrieving, listing, and capturing.
All tool names follow a consistent verb_noun pattern with snake_case, such as add_knowledge, capture_session, get_topic, list_sessions, list_topics, query_knowledge, recall_memory, and search_knowledge. This uniformity makes the set predictable and easy to understand.
With 8 tools, this server is well-scoped for managing knowledge and memory, covering core operations like adding, retrieving, listing, and searching. The count is appropriate, providing comprehensive functionality without being overwhelming or insufficient.
The tool set covers key CRUD-like operations for knowledge and session memory, including add, get, list, and search. A minor gap is the lack of update or delete tools for knowledge or sessions, which might limit full lifecycle management, but agents can likely work around this.
Maintenance
Related MCP Connectors
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Persistent engineering memory designed to follow developers across coding agents.
Persistent cross-session memory shared by Codex, Claude Code, ChatGPT, and other AI agents.
Persistent memory for AI agents. Search, store, and recall across sessions.
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