Contextick

Contextick is a personal knowledge layer for your AI.

Community: Submitted by a user or imported; check the owner before granting accessOnlineNo sign-inGlobalFreeRead-only

What it can do

  • Delete: Use this when the user wants you to forget saved items — pass one or more ids from a prior search result. Permanently removes them from the user's knowledge and can't be undone, so confirm whi
  • Get: Use this when you need the full text of a saved item you found via search — to quote it, or when the user wants to change something they already saved. Pass the id from a prior search result. Ret
  • Least Opened: List saved items ordered by how few times their full text has been opened, fewest first. Returns the bottom N regardless of count — times_opened gives the actual number for each.

What data it sees

Do you need an account

No: the server works without sign-in

Contextick is a personal knowledge layer for your AI. Save any text once — a decision, an idea, a code snippet, research notes — and the AIs you connect can bring it back later by meaning, right when it's relevant.

Because your knowledge lives in one private store instead of inside a single assistant, it follows you across every MCP-compatible assistant you connect. Save something in one, recall it in another.

There's nothing to organize: no folders, no tags. You just save, and a short bit of context surfaces the closest match when you ask. Use it to keep working decisions, team conventions, preferences, and anything you'd rather not explain to your AI twice.

How to connect

How to connect Contextick to Claude

The server address to paste into Claude settings:

https://contextick--maverickworks.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect Contextick to ChatGPT

The server address to paste into ChatGPT settings:

https://contextick--maverickworks.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect Contextick to Cursor

The server address to paste into Cursor settings:

https://contextick--maverickworks.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (7)

Raw names from tools/list. Only developers need these.

deleteUse this when the user wants you to forget saved items — pass one or more ids from a prior search result. Permanently removes them from the user's knowledge and can't be undone, so confirm which items with the user before deleting. If you are replacing an item with a revised version, save the new version first and delete the old id only after that save succeeded — deleting first loses the original.
getUse this when you need the full text of a saved item you found via search — to quote it, or when the user wants to change something they already saved. Pass the id from a prior search result. Returns the item's full content. Search results are only summaries, so this is the only way to read the full text — when revising, call it first to get the whole note, otherwise the rest is lost.
least_openedList saved items ordered by how few times their full text has been opened, fewest first. Returns the bottom N regardless of count — times_opened gives the actual number for each.
most_openedList saved items ordered by how many times their full text has been opened, most first. Returns the top N — times_opened gives the actual number for each.
saveUse this when the user wants to keep something worth coming back to — a code snippet, an idea, a design or decision, a report, or research notes ("save this", "remember these findings"). Before saving, shape it into a clear title, a self-contained note, and a short summary. Keep the content faithful — don't summarize or drop parts to make it fit. Content is capped at 16,000 characters per call; if it runs longer, split it into coherent parts and call save once per part so nothing is lost. When saving a revised version of something already stored, first call get to read the original in full, then save the entire updated note — the whole thing with the change applied, not just the changed part — because search results are summaries, not the full text, and revising from them loses the rest. Adds it to the user's knowledge so you can pull it back later with search.
searchUse this when you need something the user saved earlier — they mention a past note, decision, idea, or piece of research, or you need that context before answering. Give what to recall in natural language: a topic, a question, or a few keywords. Returns the saved items closest in meaning. When the user points to their own past context, call this before answering. Each item comes back as its summary, not the full text — call get with an id to read the full text when you need to quote or revise it.
usageUse this when the user asks how much they've saved or how much space their knowledge is using — returns the total number of saved items and their total size in bytes.