Other · Local MCP server
NeuroDock Cognitive Graph
A local typed-edge graph of people, projects, and decisions that externalises memory.
What the MCP Registry states
The entry as published to the official MCP Registry (read 2026-10-04), latest version.
- Registry name
io.github.tlennon-ie/neurodock-mcp-cognitive-graph- Version
- 0.0.6
- Status
- Active
- Category
- other
- Transport
- stdio (local process)
- Package
- PyPI
- Published
- 2026-06-11
- Updated
- 2026-06-11
- Publisher
- tlennon-ie (GitHub) · 6 servers with pages here
- Website
- neurodock.org/
- Repository
- github.com/tlennon-ie/neurodock (folder packages/mcp-cognitive-graph)
- Source
- Registry API entry
Packages
| Registry | Package | Version | Transport |
|---|---|---|---|
| PyPIruntime: uvx | neurodock-mcp-cognitive-graph | 0.0.6 | stdio |
How to connect NeuroDock Cognitive Graph
NeuroDock Cognitive Graph runs locally from a Python package published to PyPI: neurodock-mcp-cognitive-graph version 0.0.6. It speaks MCP over stdio, so the client starts it as a program and talks to it through standard input and output. It needs Python; clients usually start it with uvx (from uv) or after pip install — the usual command is uvx neurodock-mcp-cognitive-graph.
In the mcpServers JSON format that many desktop and editor MCP clients read, the entry looks like this (placeholders in angle brackets):
{
"mcpServers": {
"neurodock-mcp-cognitive-graph": {
"command": "uvx",
"args": [
"neurodock-mcp-cognitive-graph"
]
}
}
}Derived from the registry entry, not tested here. What the server does, and on what terms, is set by its publisher; check its repository or website before giving it access to your accounts or files. How to add an MCP server to an assistant · Before you connect
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