MCP server

Context Link Official

ai.context-link/context-link

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

One semantic search across your sites, Drive, Notion, email, files and Basecamp.

Working at last checkVerified publisher: context-link.aiAbout 754 tokens per request once connected4 tools

https://www.context-link.ai/mcp

At a glance

Type: MCP server
Publisher: context-link.ai (verified by the MCP Registry)
Status: Working at last check
Tools: 4
Token cost: About 754 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 25 Oct 2026, 20:29 UTC

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http context-link https://www.context-link.ai/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.context-link]
url = "https://www.context-link.ai/mcp"

Gemini CLI

{"mcpServers":{"context-link":{"httpUrl":"https://www.context-link.ai/mcp"}}}

Cursor

{"mcpServers":{"context-link":{"url":"https://www.context-link.ai/mcp"}}}

VS Code

{"servers":{"context-link":{"type":"http","url":"https://www.context-link.ai/mcp"}}}

Antigravity

agy mcp add context-link https://www.context-link.ai/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"context-link","server_url":"https://www.context-link.ai/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"context-link","server_url":"https://www.context-link.ai/mcp"}

ask_question ~246 tokens
Ask a question about the user's connected workspaces and websites and receive a concise answer with citations. The attached widget displays only the list of sources consulted — it does not show the answer, so always relay the answer text in your reply.
get_context ~238 tokens
Get context from the user's connected workspaces and websites. The attached widget displays only the list of sources consulted — it does not show the retrieved content, so use the returned context to answer the user directly.
get_memory ~108 tokens
Retrieve previously saved memory content by its namespace. Use this when the user wants to recall saved content.
save_memory ~162 tokens
Save content to the user's memory for later retrieval. Use this when the user wants to save information, notes, or conversation content.

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