claude mcp add usecortex-mcp -- npx -y usecortex-mcp
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
1 ★ · darktw/usecortex-mcp · read from the repository page · (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history
first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
Score
score 703 · 1 ★ · 7 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository darktw/usecortex-mcp;first catalogued 2026-10-09;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
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 No outdated docs.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 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: 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: 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 |