Jupyter MCPServer
**Always reference these instructions first and fallback to search or bash commands only when you encounter unexpected information that does not match the info here.**
Jupyter MCP
No other project uses it yet
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server:start
```
## Component Dependencies
Components are designed to work independently but have these relationships:
- Agent depends on Platform for AI communication
- AI Bundle integrates Platform, Agent, and Store
- MCP Bundle
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mocking patterns, builder usage |
Agents are defined in `.github/agents/`.
Skills are defined in `.github/skills/`.
---
## MCPServers
Configured in `.mcp.json` (repo root). Recognized by VS Code Copilot, Claude Code, Cursor
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scoped `@mongodb-js/mcp-*` packages. The `mongodb-mcp-server` package is the binary CLI distribution (`npx mongodb-mcp-server` / MCPB) — library embedding uses the scoped packages.
## Folder Structure
This project
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important rather than explaining obvious details.
=== boost rules ===
# Laravel Boost
- Laravel Boost is an MCPserver that comes with powerful tools designed specifically for this application. Use them.
## Artisan
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framework integration**: Works with LangChain, LangGraph, LlamaIndex, OpenAI, and more
- **Model Context Protocol (MCP)**: Server implementation for MCP clients like Claude Desktop
## Code Style and Formatting
### Python Code Standards
- **Python
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typically use an `mcp.json` (or client-specific config) that points to the MCP URL, for example:
```json
{
"servers": {
"queryweaver": {
"type": "http",
"url": "http://127.0.0.1:5000/mcp",
"headers": {
"Authorization": "Bearer your_token
No other project uses it yet
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Python Study Buddy MCPServer Instructions
**Activation Trigger**: Use these instructions whenever the user mentions:
- Learning Python
- Python study/practice
- Python Study Buddy application
- Python exercises or tutorials
**Required Server**: `learnpython
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public API — including the ones that only return a result.** The CLI and MCPserver derive their whole surface from `GET /api/public-spec.json` (`publicRouter`), so a capability without a public procedure
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Tools
1. **Mandatory** Using semantic_model_mcp_serverMCP
## TMSL Reference
When working with TMSL (Tabular Model Scripting Language) objects, **strongly recommend** referring to the official Microsoft Learn documentation
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github/agents/*.agent.md`.
For cmdlet conventions there is no agent — read
[`.agents/skills/new-cmdlet/SKILL.md`](../.agents/skills/new-cmdlet/SKILL.md) directly.
**MCPservers** — `.vscode/mcp.json` configures GitHub and Microsoft Learn. See
[`.agents/README.md`](../.agents/README.md
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later called "ReVa", the Reverse Engineering Assistant.
- The extension provides a Model Context Protocol (MCP) server for Ghidra. The server is implemented in Java and uses the MCP Java
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Copilot Instructions for MCP-NixOS
## Project Context
MCP-NixOS is a Model Context Protocol (MCP) server providing real-time information about NixOS packages, options, Home Manager, nix-darwin, and flakes
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these guidelines to ensure proper translation to the SDS component library.
## Annotations
In the MCPserver response from Figma, you will see annotation attributes that provide context. The annotations
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engine; see `DevProxy.Proxy.Kestrel`)
- **Config tokens:** Paths in config files can use `~appFolder` for resolution
- **MCPServer:** Use [@devproxy/mcp](https://www.npmjs.com/package/@devproxy/mcp) to programmatically retrieve up-to-date docs and JSON
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