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  1. Home
  2. ๐Ÿง  Knowledge & Memory
  3. Usecortex MCP
Usecortex MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 3:17:07 PM

Usecortex MCP

User RatingsBe the first to rate and review this MCP server!
View Repository1 GitHub StarsTotal stargazers on GitHub for the source repository (1 stars).Visit Website
knowledgememorymcpai-coding

Encrypted persistent knowledge storage that lets MCP-compatible AI agents recall and add project context.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON โ–พ

Client Config & Setup

Remote HTTP
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "darktw-usecortex-mcp": {
      "url": "https://api.usecortex.net/mcp"
    }
  }
}

๐Ÿ’ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (5) Directory Badge Claim listing Alternatives๐Ÿง  More in Knowledge & Memory

Overview

UseCortex provides a hosted MCP server for storing and retrieving structured knowledge across AI coding sessions. Agents can query, search, organize, and add knowledge, with optional session capture and memory recall tools. Use it when project context, decisions, or coding standards need to persist across tools and sessions.

Use cases

โ€ขStore coding standards and architecture decisions
โ€ขQuery project knowledge from an AI coding agent
โ€ขAdd discoveries and patterns to persistent memory
โ€ขRetrieve all entries for a knowledge topic
โ€ขCapture and recall summaries from AI sessions

Key features

โ€ขTwo-way knowledge flow for reading and writing context
โ€ขTopic-based knowledge organization
โ€ขNatural-language knowledge queries
โ€ขKeyword search across knowledge entries
โ€ขAES-256 encryption at rest with per-user keys
โ€ขSession capture and memory recall on the Memory plan

Capabilities & Tool Schemas (5) ~101 tokensApproximate context cost of this serverโ€™s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server โ€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Usecortex MCP.

query_knowledge

Ask a natural language question and get an AI-powered answer based on your stored knowledge.

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.

get_topic

Retrieve all knowledge entries for a specific topic.

search_knowledge

Search knowledge entries by keyword (text match).

Documentation Overview

UseCortex

UseCortex MCP Server

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

usecortex-mcp MCP server

Website ยท Quick Start ยท Tools ยท Pricing

UseCortex demo โ€” store knowledge, query from any AI agent


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 โ€” 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 โ€” describe your coding standards, architecture decisions, client requirements, anything
  2. UseCortex extracts โ€” AI automatically organizes facts into structured topics
  3. Your agent recalls โ€” any MCP-compatible tool can query your knowledge instantly
  4. Knowledge grows โ€” your agent can push new discoveries back, so your knowledge base stays current

Features

  • Two-way knowledge flow โ€” read context into projects, write discoveries back
  • Works with any MCP client โ€” compatible with any AI coding agent that supports the Model Context Protocol
  • Encrypted at rest โ€” AES-256 encryption with per-user keys
  • No vendor lock-in โ€” your knowledge works across every AI tool
  • Structured by topic โ€” 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 โ†’ API Keys โ†’ Generate.

Note: Copy the key immediately after generation. It will not be shown again.

2. Install (one command)

Run this in your terminal โ€” replace YOUR_API_KEY with the key from step 1:

Terminal
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:

config.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.

ParameterTypeRequiredDescription
querystringYesNatural language question
topicstringNoFilter 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.

ParameterTypeRequiredDescription
contentstringYesThe knowledge to store
topicstringNoTopic to file under (auto-detected if omitted)

get_topic

Retrieve all knowledge entries for a specific topic.

ParameterTypeRequiredDescription
topicstringYesTopic name to retrieve

search_knowledge

Search knowledge entries by keyword (text match).

ParameterTypeRequiredDescription
querystringYesSearch term

capture_session (Memory plan)

Capture an AI session summary into persistent memory. Store what you learned, decided, or built.

ParameterTypeRequiredDescription
summarystringYesCompressed summary of the session
toolstringNoAI tool used (claude-code, cursor, chatgpt)
projectstringNoProject name or path
tagsstring[]NoTags for categorization
observationsstringNoDetailed 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.

ParameterTypeRequiredDescription
querystringYesNatural language question about past sessions
toolstringNoFilter by AI tool
projectstringNoFilter by project
limitnumberNoMax results (default 20)

list_sessions (Memory plan)

List recent captured session memories.

ParameterTypeRequiredDescription
toolstringNoFilter by AI tool
projectstringNoFilter by project
limitnumberNoMax results (default 10)

Use Cases

WhoWhat
DevelopersYour coding standards, architecture decisions, and project context โ€” automatically available to your AI agent
Support teamsFeed real policies and procedures to any support bot โ€” it answers with facts, not guesses
Sales teamsStore client history, pricing, and objections โ€” pull everything before meetings
IndividualsYour personal brain backup โ€” everything you know, encrypted and accessible from any AI tool
HR & OnboardingYour company playbook โ€” processes, tools, culture โ€” available to new hires instantly

Pricing

FreePro ($9/mo)Memory ($19/mo)Team ($39/mo)
Knowledge entries100UnlimitedUnlimitedUnlimited
Topics3UnlimitedUnlimitedUnlimited
API calls/month50010,00050,000200,000
Two-way APIRead onlyYesYesYes
AI session captureโ€”โ€”YesYes
Memory recallโ€”โ€”YesYes
Markdown syncโ€”โ€”YesYes
Session historyโ€”โ€”90 daysUnlimited
API keys151050
Team membersโ€”โ€”โ€”25
Audit logsโ€”โ€”โ€”Yes

Manage your plan at usecortex.net.

Security

  • All communication encrypted over HTTPS
  • Knowledge encrypted at rest with AES-256
  • Per-user encryption keys โ€” 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 โ€” Create your account and manage knowledge
  • cortex-cli โ€” CLI for markdown sync & terminal usage
  • Model Context Protocol โ€” Learn about MCP

License

MIT


ยฉ 2026 Altazi Labs, Inc. All rights reserved. ยท contact@altazilabs.com

Read the full README โ†’View source on GitHub โ†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks โ€” not a rating.

GitHub stars
1
Stargazers on the source repository.
Last commit
5mo ago
Most recent push to the default branch.
Tools exposed
5
Callable tools this server registers over MCP.
Directory activity
2 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Usecortex MCP

It stores knowledge such as coding standards, architecture decisions, client requirements, discoveries, and session summaries.

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Technical Specs & Signals

Category๐Ÿง Knowledge & Memory
PricingFree
More technical detailsExpand โ–พ
TransportSSE (Remote)
AuthAPI key
ClientsClaude Desktop, Cursor, Windsurf, Cline / VS Code
Last updatedAug 10, 2026
10/10 checks healthy over the last 33d
Views2
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars1
GitHub Star CountTotal stargazers on GitHub representing community popularity (1 stars).
Last commit5mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Mar 17, 2026
51Quality signal: Good ยท 51/100How this signal is calculated โ–พ
Server availabilityNot measured

Not scored for repo-hosted servers โ€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools27/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data โ€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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