kula-mcp-server: Instructions file for Claude Code

CLAUDE.md

kula-mcp-server CLAUDE.md is an instructions file for Claude Code from kula-ai/kula-mcp-server. It costs 706 tokens per session, scanned A, original, MIT.

Project instructions for Kula’s MCP server, which connects coding agents to Kula’s recruiting API. An API is a controlled interface that lets software request data or actions from another service.

In plain words
What is it for?
Use them when building, testing, or extending recruiting-related tools, API requests, input validation, or the server’s TypeScript code.
Why use it?
They document the project’s commands, structure, validation rules, and tool-registration pattern so changes can be made consistently and safely.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md.

This is kula-ai/kula-mcp-server's own configuration. It tells Claude Code how to work on kula-mcp-server itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything kula-mcp-server configures →

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is import { KulaClient } from "../client.js";.

Reuse

Borrowing it

Nothing to install: this file belongs to kula-ai/kula-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/kula-ai/kula-mcp-server/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/kula-ai/kula-mcp-server

Made for: Claude Code.

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 kula-mcp-server CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/kula-ai/kula-mcp-server/claude-md.svg)](https://agentmods.dev/instructions/kula-ai/kula-mcp-server/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/kula-ai/kula-mcp-server/claude-md"><img src="https://agentmods.dev/badge/instructions/kula-ai/kula-mcp-server/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 706 This file is loaded in full into every session.
When invoked 706 The same file — it is already loaded in full.
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 $0.00706 $0.00706
Opus 5 $0.00353 $0.00353
Sonnet 5 $0.00141 $0.00141
Haiku 4.5 $0.00071 $0.00071

Measured 7d ago against content hash 9ad3ed6f5585, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

kula-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 7d 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.

CLAUDE.md · 67 lines

How it starts

The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Kula MCP Server

MCP server wrapping the Kula recruiting API (https://api.kula.ai/v1).

Quick Reference

  • Language: TypeScript (ESM, strict mode)
  • Runtime: Node 22 LTS (see .nvmrc)
  • MCP SDK: @modelcontextprotocol/sdk with STDIO transport
  • Validation: Zod schemas for all tool inputs

Commands

  • nvm use — switch to project Node version
  • npm run build — compile TypeScript to build/
  • npm run dev — watch mode compilation
  • npm start — run the compiled server
  • npm test — run tests (vitest)
  • npx @modelcontextprotocol/inspector — test tools interactively

Architecture

src/index.ts        → Entry point. Creates McpServer, registers tools, starts StdioServerTransport.
src/client.ts       → KulaClient class. Thin fetch() wrapper with auth headers and error handling.
src/tools/*.ts      → Each file exports register(server, client). One file per API domain.
src/types.ts        → Shared Zod schemas reused across tool modules.

Tool Registration Pattern

Every tool file follows this pattern:

import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
import { z } from "zod";
import { KulaClient } from "../client.js";

export function register(server: McpServer, client: KulaClient) {
  server.tool("tool_name", "Description for LLM", { param: z.string() }, async ({ param }) => {
    const data = await client.get(`/v1/endpoint/${param}`);
    return { content: [{ type: "text", text: JSON.stringify(data, null, 2) }] };
  });
}

Key Conventions

  • NEVER use console.log — STDIO transport uses stdout for JSON-RPC. Use console.error for logging.
  • Tool names use snake_case (MCP convention).
  • All tool handlers return { content: [{ type: "text", text: string }] }.
  • API errors are caught and returned as { content: [...], isError: true }.
  • Auth via KULA_API_KEY env var — validated at startup.
  • Import paths must include .js extension (ESM requirement).

API Domains → Tool Files (28 tools)

Read the full file on GitHub · 67 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.

  1. 7d ago First seen · 67 lines · 706 tokens per session scan A 9ad3ed6f5585

Subscribe to this mod's changes

kula-mcp-server CLAUDE.md is an instructions file published in the GitHub repository kula-ai/kula-mcp-server (0 stars, last pushed 2mo ago), licensed MIT. It adds 706 tokens to every session, about $0.0035 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.

Related

Other instructions, from other repositories

next.js AGENTS.md

AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.

vercel/next.js · 7,296 tokens

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.

openai/codex · 5,153 tokens

vscode buildNext.instructions.md

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).

microsoft/vscode · 6,785 tokens

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).

microsoft/vscode · 5,001 tokens

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.

langchain-ai/langchain · 4,469 tokens

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.

github/spec-kit · 7,104 tokens