Borrowing it
Nothing to install: this file belongs to LarryStanley/heptabase-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.
curl -O https://raw.githubusercontent.com/LarryStanley/heptabase-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/LarryStanley/heptabase-mcpWrote 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/larrystanley/heptabase-mcp/claude-md)<a href="https://agentmods.dev/instructions/larrystanley/heptabase-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/larrystanley/heptabase-mcp/claude-md/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.
<a href="https://agentmods.dev/instructions/larrystanley/heptabase-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/larrystanley/heptabase-mcp/claude-md.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00954 | $0.00954 |
| Opus 5.5 | $0.00382 | $0.00382 |
| Sonnet 5.5 | $0.00191 | $0.00191 |
| Haiku 4.5 | $0.00095 | $0.00095 |
Grade A, and why
heptabase-mcp 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 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.
How it starts
The opening of the file, as written. The whole thing — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
This is a Model Context Protocol (MCP) service for interacting with Heptabase backup data. The service enables AI assistants like Claude to search, retrieve, analyze, and export Heptabase whiteboards and cards through a standardized MCP interface.
Commands
# Install dependencies
npm install
# Development
npm run dev # Run with ts-node for development
npm start # Run compiled JavaScript
# Testing
npm test # Run all tests
npm test:watch # Run tests in watch mode
npm test:coverage # Run tests with coverage
npm test:integration # Run integration tests
# Building and Linting
npm run build # Compile TypeScript to JavaScript
npm run type-check # Type check without emitting
npm run lint # Type check with tsc --noEmit
# Publishing
npm run prepublishOnly # Build and test before publish
Architecture
The project follows a layered architecture:
-
Entry Point (
src/index.ts)- Sets up environment variables
- Initializes and starts the MCP server
- Handles process signals
-
MCP Server (
src/server.ts)- Core MCP server implementation
- Registers tools with the MCP protocol
- Manages tool execution and error handling
-
Service Layer (
src/services/)BackupManager: Manages backup files, ZIP extraction, file watchingHeptabaseDataService: Handles JSON parsing, data queries, caching
-
Tools (
src/tools/)- MCP tool implementations organized by function:
- Backup management
- Search operations
- Data retrieval
- Export functionality
- Analysis tools
- MCP tool implementations organized by function:
-
Types (
src/types/)- TypeScript interfaces for Heptabase data models
- MCP protocol type definitions
Testing
The project uses Jest for testing:
- Unit tests: Located in
tests/unit/ - Integration tests: Located in
tests/integration/ - Test fixtures: Located in
tests/fixtures/
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 · 136 lines · 954 tokens per session scan A eb261e67a088
heptabase-mcp CLAUDE.md is an instructions file published in the GitHub repository LarryStanley/heptabase-mcp (17 stars, last pushed 1y ago), licensed MIT. It adds 954 tokens to every session, about $0.0038 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 2026-08-30.
heptabase-mcp CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| heptabase-mcp CLAUDE.mdLarryStanley/heptabase-mcp | Instructions file | 17 | 1y ago | MIT | A | 954 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |