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CogniCore MCP Server

by cognicore-dev Your server? Claim it
answering

CogniCore is answering right now. Last checked 9 min ago. Last commit 31 Oct 2026.

Memory, reflection and safety for AI agents. Hosted or local, no vector database.

Uptime history 16 days of history · worst day 0%
16 days agonow
100.0%
Uptime 24h
91 of 91 checks
—
Tools
hidden behind auth
816 ms
Response time
average over 24h
81
Stars
last commit 31 Oct 2026

What the code does

We read the source, 12 h ago · rules 995398eba69f

Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

            path = os.path.join(self.storage_dir, f"{self.agent_id}.json")
            m = __import__(mod)
        result = subprocess.run(cmd, check=True, shell=is_win)  # nosec B602
        document.getElementById('connectorList').innerHTML = html;

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 9 min ago.

run in your terminal
claude mcp add cognicore-env --transport http https://mcp.cognicoree.tech/mcp/stream
Settings → Connectors → Add custom connector, then paste this address
https://mcp.cognicoree.tech/mcp/stream
~/.codex/config.toml
[mcp_servers.cognicore-env]
url = "https://mcp.cognicoree.tech/mcp/stream"
.cursor/mcp.json
{
  "mcpServers": {
    "cognicore-env": {
      "url": "https://mcp.cognicoree.tech/mcp/stream"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "cognicore-env": {
      "type": "http",
      "url": "https://mcp.cognicoree.tech/mcp/stream"
    }
  }
}

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

URLTransportStateLatencyChecked
https://mcp.cognicoree.tech/mcp/stream streamable-http sign-in 786 ms 9 min ago

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answering

CogniCore — questions

Answers built from our own checks of this server.

Why is there no tool list for CogniCore?
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 CogniCore 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 816 ms. The bar chart above shows every period we have measured.
How do I connect CogniCore?
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 CogniCore?
No API key is involved. CogniCore 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 CogniCore?
It answers our handshake in 816 ms on average, which is faster than 9% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is CogniCore open source?
The code is open source: it is published under the MIT licence, written in Python, 81 stars on GitHub and 2 open issues. The licence covers the code in the repository, not the hosted service at mcp.cognicoree.tech, which runs on its operator's own terms.