Productivity · Local MCP server
Agentic Ai Shadowing
Observes tasks and generates anonymized SOPs — task tracking and SOP review via MCP. Fully local.
What the MCP Registry states
The entry as published to the official MCP Registry (read 2026-10-04), latest version.
- Registry name
io.github.datasynx/agentic-ai-shadowing- Version
- 2.1.4
- Status
- Active
- Category
- productivity
- Transport
- stdio (local process)
- Package
- npm
- Published
- 2026-06-16
- Updated
- 2026-06-16
- Publisher
- datasynx (GitHub) · 2 servers with pages here
- Website
- datasynx.github.io/agentic-ai-shadowing/
- Repository
- github.com/datasynx/agentic-ai-shadowing
- Source
- Registry API entry
Packages
| Registry | Package | Version | Transport |
|---|---|---|---|
| npmruntime: npx | @datasynx/agentic-ai-shadowing | 2.1.4 | stdio |
How to connect Agentic Ai Shadowing
Agentic Ai Shadowing runs locally from a Node.js package published to the npm registry: @datasynx/agentic-ai-shadowing version 2.1.4. It speaks MCP over stdio, so the client starts it as a program and talks to it through standard input and output. It needs Node.js; clients usually start it with npx — the usual command is npx -y @datasynx/agentic-ai-shadowing@2.1.4.
In the mcpServers JSON format that many desktop and editor MCP clients read, the entry looks like this (placeholders in angle brackets):
{
"mcpServers": {
"agentic-ai-shadowing": {
"command": "npx",
"args": [
"-y",
"@datasynx/agentic-ai-shadowing@2.1.4"
]
}
}
}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
More from datasynx (GitHub)
| Server | Runs |
|---|---|
| CartographyMCP-first read-only discovery of your infra & SaaS landscape as MCP resources, tools and prompts. | Local · stdio |
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| agentic-recallLong-term memory for agentic tasks. It tells you when it doesn't know. | Local · stdio |