SharkMath-MCP: Instructions file for GitHub Copilot

.github/copilot-instructions.md

SharkMath-MCP copilot-instructions.md is an instructions file for GitHub Copilot from tonygod/SharkMath-MCP. It costs 1,861 tokens per session, scanned A, original, MIT.

A set of coding instructions for a Python tutorial project that provides mathematical tools through an MCP server, a standard way for assistants to use tools.

In plain words
What is it for?
Developing, organizing, and running the SharkMath server and its calculation tools with Python, FastMCP, and uv.
Why use it?
It explains the server structure, development patterns, environment setup, and how mathematical modules are registered.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file.

This is tonygod/SharkMath-MCP's own configuration. It tells GitHub Copilot how to work on SharkMath-MCP itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything SharkMath-MCP configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is uv run SharkMath/sharkmath_server.py.

Reuse

Borrowing it

Nothing to install: this file belongs to tonygod/SharkMath-MCP. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/tonygod/SharkMath-MCP/main/.github/copilot-instructions.md
Clone the repo
git clone --depth 1 https://github.com/tonygod/SharkMath-MCP

Made for: GitHub Copilot.

Wrote this? Show the measurements

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README.md
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Per session 1,861 This file is loaded in full into every session.
When invoked 1,861 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.01861 $0.01861
Opus 5.5 $0.00744 $0.00744
Sonnet 5.5 $0.00372 $0.00372
Haiku 4.5 $0.00186 $0.00186

Measured 2mo ago against content hash 667df923c902, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

SharkMath-MCP copilot-instructions.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.github/copilot-instructions.md · 161 lines

How it starts

The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Copilot Instructions for MCP Python Tutorial Codebase

Project Overview

This is an MCP server providing comprehensive mathematical tools for solving problems across multiple domains

Core Architecture

MCP Server Types

  1. SharkMath Server (sharkmath_server.py) - Mathematical tools

Key Components

  • FastMCP servers - All servers use FastMCP("Server Name") pattern
  • SharkMath Server - Comprehensive mathematical calculation server with tools across all mathematical domains

Development Patterns

MCP Server Structure

from mcp.server.fastmcp import FastMCP
mcp = FastMCP("Server Name")

@mcp.prompt()          # Template functions
@mcp.tool()            # Executable functions  
@mcp.resource()        # Data access functions

Environment Setup

  • Uses uv package manager (configured in .vscode/mcp.json)
  • Virtual environment in mcp-env/ directory
  • VS Code MCP configuration: uv --directory . run sharkmath_server.py

SharkMath Architecture

  • Main server pattern - sharkmath_server.py imports and registers tools from modules
  • Module registration - Each module has register_tools(mcp) function
  • Dual import context - Handles both direct execution and module imports
  • Parameter-based routing - Tools use operation parameters to route to specific functions
  • Consistent error handling - All functions use ✅/❌ prefixes
  • Domain validation - Input validation specific to each mathematical operation

Critical Workflows

Running MCP Servers

uv run SharkMath/sharkmath_server.py

VS Code MCP Integration

  • Configure servers in .vscode/mcp.json
  • Use server name "sharkmath-mcp" for tools server
  • MCP servers connect to VS Code Copilot chat via configuration

Project-Specific Conventions

Async/Context Patterns

  • MCP tools use Context parameter for AI sampling
  • Sampling pattern: ctx.session.create_message() with SamplingMessage
  • Always handle JSON parsing errors in tools that generate content

Read the full file on GitHub · 161 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 161 lines · 1,861 tokens per session scan A 667df923c902

Subscribe to this mod's changes

SharkMath-MCP copilot-instructions.md is an instructions file published in the GitHub repository tonygod/SharkMath-MCP (0 stars, last pushed 1y ago), licensed MIT. It adds 1,861 tokens to every session, about $0.0074 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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