codegraph-mcp

codegraph-mcp is a skill for Claude Code, Codex from SahilSheikh12299/codegraph-mcp. It costs 42 tokens per session (1,046 once invoked), scanned A, original, MIT.

A Cursor skill for codebase discovery using GraphRAG, a search system that finds relevant code and relationships. It instructs the agent to use search_codebase_intent instead of grep or semantic search.

In plain words
What is it for?
Use it in Cursor to find where behavior lives, follow call paths, and answer how-or-where questions about a repository.
Why use it?
It provides a consistent way to locate code and trace behavior while reducing repeated searches and unnecessary file reading.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it in Cursor to find where behavior lives, follow call paths, and answer how-or-where questions about a repository.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sahilsheikh12299/codegraph-mcp/skill
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.

Any agent
npx skills add SahilSheikh12299/codegraph-mcp --skill skill
Clone the repo
git clone --depth 1 https://github.com/SahilSheikh12299/codegraph-mcp

Made for: Claude Code, Codex.

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.

agentmods badge for codegraph-mcp

README.md
[![agentmods](https://agentmods.dev/badge/skills/sahilsheikh12299/codegraph-mcp/skill/github.svg)](https://agentmods.dev/skills/sahilsheikh12299/codegraph-mcp/skill)
Your own site
<a href="https://agentmods.dev/skills/sahilsheikh12299/codegraph-mcp/skill"><img src="https://agentmods.dev/badge/skills/sahilsheikh12299/codegraph-mcp/skill/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.

agentmods 80×15 button for codegraph-mcp

Your own site · 80×15
<a href="https://agentmods.dev/skills/sahilsheikh12299/codegraph-mcp/skill"><img src="https://agentmods.dev/badge/skills/sahilsheikh12299/codegraph-mcp/skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,046 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00042 $0.01046
Opus 5.5 $0.00017 $0.00418
Sonnet 5.5 $0.00008 $0.00209
Haiku 4.5 $0.00004 $0.00105

Measured 1mo ago against content hash eaff23964ccc, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

codegraph-mcp 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 1mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (__init__.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

src/codegraph_mcp/templates/skill/SKILL.md · 114 lines

How it starts

The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GraphRAG — Code Discovery Rules

Always pass active_project_root (absolute repo root) on every tool call. Reuse the same path throughout a session.

Primary goal: answer or edit with the least token usage possible. GraphRAG is a swiss-army-knife for repo discovery — far better than grep — but only when you use it surgically. Every extra search or read wastes tokens.


The only discovery tool

search_codebase_intent is the only GraphRAG tool. Use it for all repo discovery.

Do not use native Grep, SemanticSearch, or iterative file hunting to explore the codebase.


Efficiency first

  • Answer with what you have. If search + reads already cover the question, stop — do not search or read again.
  • One search, then read. Start with a single search_codebase_intent call. A second search is allowed only when something specific is still missing (wrong anchor, no cite for a symbol you need, gap in the call path).
  • Read each cite once. Open only the cite spans you actually need. Skip spans that do not help answer the question.
  • No overlapping reads. If two cites cover the same file and ranges overlap, read the union once — never re-read lines you already have in context.
  • No speculative exploration. Do not read "just in case", prefetch adjacent files, or widen ranges beyond what the question requires.
  • Fewest tool calls wins. Prefer one good search + targeted reads over multiple searches, broad reads, or re-fetching content already in the conversation.

Workflow

  1. Call search_codebase_intent once with intent queries and any known symbol names.
  2. Read only the cite spans required to answer (format: startLine:endLine:filepath). Merge overlapping spans in the same file into one read.
  3. Answer or edit using what you already have — stop here if sufficient.

Second search — only when a specific gap remains after step 2 (missing symbol, wrong file, incomplete path). Refine queries or symbols; still no grep.

Read the full file on GitHub · 114 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 1mo ago First seen · 114 lines · 42 tokens per session scan A eaff23964ccc

Subscribe to this mod's changes

codegraph-mcp is a skill published in the GitHub repository SahilSheikh12299/codegraph-mcp (0 stars, last pushed 4mo ago), licensed MIT. It adds 42 tokens to every session and 1,046 once invoked, about $0.0002 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 2026-09-01.

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