about-codebase

A set of repository guidance describing the Lineai MCP Server and its connection to Lineai's knowledge graph APIs. The guidance covers tools for dependency, database, graph, impact, scope, and ownership analysis.

In plain words
What is it for?
Use it when working on the Lineai MCP Server, especially its Python package, server entry point, handlers, utilities, or graph-analysis tools.
Why use it?
It gives an agent context about the codebase's purpose and where its main implementation files are located. That context helps it make changes consistently with the repository.

Cursor rule for Cursor

Install

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.

agentmods
npx agentmods add rules/lineai-intelligence/lineai-mcp-server/about-codebase
Clone the repo
git clone --depth 1 https://github.com/lineai-intelligence/lineai-mcp-server

Made for: Cursor.

Per session 13 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 146 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00013 $0.00146
Opus 5 $0.00006 $0.00073
Sonnet 5 $0.00003 $0.00029
Haiku 4.5 $0.00001 $0.00015

Measured 2d ago against content hash 5b4c619ce569, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

about-codebase 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 2d 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.

.cursor/rules/about-codebase.mdc · 10 lines

What it actually says

  • This repository contains a Model Context Protocol (MCP) server that integrates with Lineai's knowledge graph APIs
  • It enables AI programming assistants to access dependency data from Lineai to analyze code and database impacts
  • Tools: lineai-method-impact, lineai-database-impact, and lineai-graph-* (capabilities, search, impact, path-explain, validate-change-scope, owners)
  • The core package is in src/lineai_mcp_server/ with server.py, handlers/ (package), and utils.py
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. 2d ago First seen · 10 lines · 13 tokens per session scan A 5b4c619ce569

Subscribe to this mod's changes

about-codebase is a cursor rule published in the GitHub repository lineai-intelligence/lineai-mcp-server (38 stars, last pushed 20d ago), licensed MPL-2.0. It adds 13 tokens to every session and 146 once invoked, about $0.0001 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 2026-08-30.

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