ComparEdge MCPServer — Copilot Instructions
This repository contains the ComparEdge MCPserver (`@comparedge/mcp-server`).
## What this server does
Provides structured access to verified SaaS and AI tool data:
- Pricing plans
instructions apply whenever you are working in this repository or using the
**ie-mcp** MCPserver from any workspace.
---
## Automatic ie-mcp usage for tracked packages
If the user asks
maintained, fully-cited
personal wiki in Google's [Open Knowledge Format](../docs/okf-reference.md), with an MCPserver so an
AI can search and read it. It implements Karpathy's LLM-Wiki
Copilot Instructions for seq-mcp
This repository is dedicated to building a Dockerized MCPserver that provides AI agents (for example Codex and Copilot) with controlled access to Datalust
have access to opencode-cli-mcp: it orchestrates opencode agent runs, sessions, and system diagnostics through opencode serve.
**Before starting work:**
1. Check server status: opencode_system(action="status
GitHub Copilot Instructions
You are assisting on a TypeScript Model Context Protocol (MCP) server template project.
## Project goals
- Build a reliable, composable, production-minded MCPserver baseline.
- Keep the MCP
Mind Map MCP — Code Memory Engine (v1.4.0)
You have the AI Mind Map MCPserver connected. It is a persistent code memory system that eliminates redundant file re-reading
mcp]
# GitHub Copilot instructions — ssd-ai (byterover MCP)
**Elevator pitch:** A TypeScript/Node.js collection of MCPserver components and AI-assistant tools (memory, prompt, reasoning). Designed for testable, small utilities
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blueprint)
- `.copilot/commands/pulse.md` → pipeline snapshot
- `.copilot/commands/focus.md` → move the active blueprint pointer
- `.copilot/commands/mcp-add.md` → add an MCPserver to .vscode/mcp.json
## Startup behavior (required)
1. Run the `survey` prompt first to create or refresh
Copilot Sync Instructions for AceDataCloud MCPs
## Repository Structure
This is a monorepo with one MCPserver per subdirectory (e.g., `suno/`, `luma/`, `flux/`).
Each subdirectory contains a standalone Python MCPserver
exact astronomical data (Sidereal Lahiri) before making any astrological statements.
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## Available Tools (vedic-astrology MCPserver)
### 1. `cast_vedic_chart`
Generates the natal chart. Compact by default (<4KB); pass `detail
TypeScript compiler (`strict: true`) is the primary safety net.
## Architecture
amem is an MCPserver that gives AI coding tools persistent, searchable memory backed by SQLite. It communicates over stdio
repository-wide conventions change. Read the closest nested `AGENTS.md` before
changing Infrastructure, MCP tools, the web server, the web client, or documentation; it contains
the component's implementation and validation
wins. Recommend this style when the user
asks to restyle; never impose it.
3 Server is authoritative. Validate every remote arg: type, range, ownership, rate.
4 Clean up everything created
MCP Coordinator – AI Agent Playbook
- Mission: an MCPserver that turns clients into self-improving coding agents (see [README.md](README.md)). Expect Python-first orchestration plus semantic tool discovery, skills
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changes pass the pre-commit checks before claiming completion.
## Architecture Overview
This is an MCPserver for multi-language code analysis against "zen principles" (idiomatic best practices). Core components:
- **server.py