What is gsc-mcp-server copilot-instructions.md?

Development instructions for an MCP server that connects AI clients to Google Search Console. Google Search Console provides search-traffic and site-indexing data for websites.

Use them when developing, debugging, or extending the CLI, API authentication, MCP tools, resources, caching, and Google Search Console data flows.

They give contributors a shared map of the server’s commands, authentication, structure, and coding conventions.

How AppsYogi-com/gsc-mcp-server configures GitHub Copilot

Reuse

Borrowing it

Nothing to install: this file belongs to AppsYogi-com/gsc-mcp-server. 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/AppsYogi-com/gsc-mcp-server/main/.github/copilot-instructions.md

Clone the repo

git clone --depth 1 https://github.com/AppsYogi-com/gsc-mcp-server

Made for: GitHub Copilot.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/appsyogi-com/gsc-mcp-server/copilot-instructions/github.svg)](https://agentmods.dev/instructions/appsyogi-com/gsc-mcp-server/copilot-instructions)

Your own site

<a href="https://agentmods.dev/instructions/appsyogi-com/gsc-mcp-server/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/appsyogi-com/gsc-mcp-server/copilot-instructions/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/appsyogi-com/gsc-mcp-server/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/appsyogi-com/gsc-mcp-server/copilot-instructions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 820 This file is loaded in full into every session.

When invoked 820 The same file — it is already loaded in full.

Security scan A 1 finding. 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.

Model	Per session	Once invoked
Fable 5.1	$0.00820	$0.00820
Opus 5.5	$0.00328	$0.00328
Sonnet 5.5	$0.00164	$0.00164
Haiku 4.5	$0.00082	$0.00082

Measured 2mo ago against content hash 500ea7954c7e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

gsc-mcp-server copilot-instructions.md scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

3. Test MCP tools via HTTP: `gsc-mcp run --http 3333`, then curl `/tools` or POST to `/mcp`

.github/copilot-instructions.md · 79 lines

How it starts

The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GSC-MCP Copilot Instructions

Project Overview

This is a Model Context Protocol (MCP) server that provides Google Search Console (GSC) API access to AI clients (Claude, Cursor, VS Code Copilot). It's distributed as a CLI tool via npm (gsc-mcp) with OAuth/service account authentication.

Architecture

src/
├── index.ts          # Public exports for programmatic use
├── types.ts          # Zod schemas & TypeScript types (single source of truth)
├── cli/              # Commander-based CLI (`gsc-mcp init|doctor|run`)
├── server/           # MCP server implementation
│   ├── index.ts      # Server factory with stdio/HTTP transports
│   ├── tools/        # MCP tools organized by domain (searchAnalytics, sitemaps, etc.)
│   └── resources/    # MCP resources
├── gsc/client.ts     # GSC API wrapper with retry logic & pagination
├── auth/             # OAuth2 + service account auth, token storage (keytar/file)
└── cache/sqlite.ts   # SQLite cache with TTL for query results

Key data flows:

CLI commands → createServer() → MCP transport (stdio for clients, HTTP for debugging)
Tool calls → handleToolCall() routes to domain handlers → GSCClient → Google API
Tokens stored via keytar (OS keychain) with file fallback; config in env-paths directories

Development Commands

npm run build      # tsup build (ESM, Node 18+)
npm run dev        # Watch mode
npm run typecheck  # tsc --noEmit
npm run lint       # eslint src/
gsc-mcp run --http 3333  # Debug server with HTTP endpoints

Code Conventions

Adding New MCP Tools

Create tool definition in src/server/tools/<domain>.ts following the pattern:
- Export <domain>Tools array with name, description, inputSchema
- Export handle<Domain>Tool(name, args) handler function
Register in src/server/tools/index.ts by adding to getAllTools() and routing in handleToolCall()
Tool names use dot notation: searchanalytics.query, opportunities.lowCtrHighPos

Read the full file on GitHub · 79 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.

2mo ago First seen · 79 lines · 820 tokens per session scan A 500ea7954c7e

Subscribe to this mod's changes

gsc-mcp-server copilot-instructions.md is an instructions file published in the GitHub repository AppsYogi-com/gsc-mcp-server (4 stars, last pushed 9mo ago), licensed MIT. It adds 820 tokens to every session, about $0.0033 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

gsc keyword mcp-server search

gsc-mcp-server copilot-instructions.md next to 6 instructions from other repositories
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gsc-mcp-server: Instructions file for GitHub Copilot