Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/northrosetech/ghl-mcp-server/claude-mdgit clone --depth 1 https://github.com/northrosetech/ghl-mcp-serverWrote 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.
[](https://agentmods.dev/instructions/northrosetech/ghl-mcp-server/claude-md)<a href="https://agentmods.dev/instructions/northrosetech/ghl-mcp-server/claude-md"><img src="https://agentmods.dev/badge/instructions/northrosetech/ghl-mcp-server/claude-md.svg" alt="Measured on agentmods" height="20"></a>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 | $0.01827 | $0.01827 |
| Opus 5 | $0.00914 | $0.00914 |
| Sonnet 5 | $0.00365 | $0.00365 |
| Haiku 4.5 | $0.00183 | $0.00183 |
Grade A, and why
ghl-mcp-server CLAUDE.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 4d 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.
How it starts
The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
Project context for Claude Code, Cursor, and other AI coding tools working on this repository. For end-user install instructions, see README.md. For machine-readable server discovery, see mcp.json.
What This Is
GHL MCP Server is a Model Context Protocol (MCP) server that exposes the GoHighLevel CRM API as tools an AI agent can call. It ships 60+ tools covering contacts, conversations, calendars, pipelines, payments, invoices, workflows, and more.
- Built by: Saurabh K Shah (https://saurabhshah.com)
- License: MIT
- Language: TypeScript (Node.js, ESM)
- MCP SDK:
@modelcontextprotocol/sdk - Transports: stdio (for Claude Desktop / Claude Code) and HTTP Streamable (for N8N and remote clients)
Repository Layout
ghl-mcp-server/
├── src/
│ ├── index.ts # Entry point, transport selection, server wiring
│ ├── constants.ts # GHL API endpoints, rate limits, version headers
│ ├── types.ts # Shared TypeScript interfaces
│ ├── services/
│ │ └── api-client.ts # HTTP client: auth, rate limiting, error mapping
│ └── tools/
│ ├── contacts.ts # Contact CRUD, tags, notes, tasks, workflow attach
│ ├── conversations.ts # SMS/Email/WhatsApp messaging, threads
│ ├── calendars.ts # Calendars, free slots, appointments
│ ├── opportunities.ts # Deals, pipelines, stage transitions
│ └── business.ts # Payments, invoices, workflows, forms, social, misc
├── dist/ # Compiled JS output (committed? check .gitignore)
├── mcp.json # Machine-readable server manifest
├── CLAUDE.md # This file
├── README.md # End-user docs
├── package.json
├── tsconfig.json
└── .env.example
How It Works
src/index.tscreates a singleMcpServerinstance.- Each file in
src/tools/exports aregister*Tools(server)function that callsserver.tool(name, schema, handler)for each tool it owns. - All tool handlers go through
src/services/api-client.ts, which handles auth headers, the GHLVersionheader, rate limiting (100 req / 10s burst, 200k/day), and error mapping. - Transport is chosen at startup via the
TRANSPORTenv var:stdio(default) orhttp.
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.
- 4d ago First seen · 174 lines · 1,827 tokens per session scan A 419619474ce7
ghl-mcp-server CLAUDE.md is an instructions file published in the GitHub repository northrosetech/ghl-mcp-server (1 stars, last pushed 4mo ago), licensed MIT. It adds 1,827 tokens to every session, about $0.0091 per session on Opus 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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Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.