AI Context Flow MCP Server

by plurality Your server? Claim it

answering

AI Context Flow is answering right now. Last checked 16 min ago. Last commit 30 Aug 2026.

Universal memory for AI agents and tools. Save, organize and search context anywhere.

Uptime history 91 days of history · worst day 99%

91 days agonow

100.0%

Uptime 24h

91 of 91 checks

—

Tools

hidden behind auth

149 ms

Response time

average over 24h

Stars

last commit 30 Aug 2026

Nothing serious here today

Today is the operative word: we check AI Context Flow every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 16 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add ai-context-flow --transport http https://app.plurality.network/mcp

Settings → Connectors → Add custom connector, then paste this address

https://app.plurality.network/mcp

~/.codex/config.toml

[mcp_servers.ai-context-flow]
url = "https://app.plurality.network/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "ai-context-flow": {
      "url": "https://app.plurality.network/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "ai-context-flow": {
      "type": "http",
      "url": "https://app.plurality.network/mcp"
    }
  }
}

This endpoint answered with an authorization challenge. The server is running, and it signs you in through your browser: there is no API key to paste.

Endpoints

URL	Transport	State	Latency	Checked
https://app.plurality.network/mcp	streamable-http	sign-in	117 ms	16 min ago

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AI Context Flow — questions

Answers built from our own checks of this server.

Why is there no tool list for AI Context Flow?

The server answered our handshake with an authorization challenge, so it is running — but it will not describe its tools to an anonymous client. To see them you need to connect with your own credentials. We record it as alive, not as broken: 100.0% of checks in the last 24 hours got a reply.

Is AI Context Flow working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 149 ms. The bar chart above shows every period we have measured.

How do I connect AI Context Flow?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address. You sign in through your browser once and the client keeps the session: no key to copy, and it refuses anonymous clients.

How do you sign in to AI Context Flow?

No API key is involved. AI Context Flow answers our knock with an OAuth challenge, so you authorise it once in your browser and the client keeps the session. That is also why we see no tool list: it will not describe itself to an anonymous client, and that is the server working as intended, not a fault.

How fast is AI Context Flow?

It answers our handshake in 149 ms on average, which is faster than 83% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.

Is AI Context Flow open source?

We cannot say either way: written in Python and 2 stars on GitHub, but we could not determine the licence, and without one the code is not open source by default.