NeuroDock Chronometric: MCP server, setup and security

What NeuroDock Chronometric does

According to its repository: “Tools for neurodivergent professionals: corporate-ambiguity translator, planner, and a guardrail against amplifying rumination, hyperfocus or sycophancy.”

An MCP server gives an AI agent extra tools it calls during the conversation: the agent reads their description, decides to use them and gets the result back. NeuroDock Chronometric is listed under Messaging and email, a category of 107 servers in the directory, where it ranks #71 by stars.

Topics declared by the repository: accessibility, adhd, agpl, anthropic, audhd, autism.

Installing and connecting NeuroDock Chronometric

Distribution modes declared in the official MCP registry:

• PyPI package (Python, started with uvx or pip)
• remote server (streamable-http): you connect to it by URL, with nothing to install locally

Like any MCP server, you declare it in your client's configuration (Claude Desktop, Claude Code, Cursor, VS Code, Codex…): a name, the command that starts it or its URL, and any environment variables. The client then starts it and lists its tools. Project language: Python.

Security: what to check

An MCP server runs code with the rights you give it, and the model reads its tool descriptions: a malicious or compromised server can hijack the agent. Read the code, or pick a maintained and widely used server, before connecting it.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to NeuroDock Chronometric. That does not replace reading the code.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on May 15, 2026, the tlennon-ie/neurodock repository has 17 stars and 3 forks, with 1 open issues. It has more stars than 35% of the servers in the directory. Last change 1 month ago. Version published in the registry: 0.1.0 (June 19, 2026).

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.