What is world-intel-mcp CLAUDE.md?

Repository instructions for a world-intelligence server that gives coding agents access to live information from public APIs. They explain the server, its commands, installation, and ways to run it.

Use them when working on the server, running its tests, starting its MCP connection, using its command-line tools, or launching its dashboard.

They give an agent the project-specific guidance needed to install, test, and operate the server correctly. This avoids guessing how its components and commands fit together.

How marc-shade/world-intel-mcp configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to marc-shade/world-intel-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.

Copy the file

curl -O https://raw.githubusercontent.com/marc-shade/world-intel-mcp/main/CLAUDE.md

Clone the repo

git clone --depth 1 https://github.com/marc-shade/world-intel-mcp

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/marc-shade/world-intel-mcp/claude-md.svg)](https://agentmods.dev/instructions/marc-shade/world-intel-mcp/claude-md)

Your own site

<a href="https://agentmods.dev/instructions/marc-shade/world-intel-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/marc-shade/world-intel-mcp/claude-md.svg" alt="Measured on agentmods" height="20"></a>

Per session 2,089 This file is loaded in full into every session.

When invoked 2,089 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.

Model	Per session	Once invoked
Fable 5.1	$0.02089	$0.02089
Opus 5	$0.01045	$0.01045
Sonnet 5	$0.00418	$0.00418
Haiku 4.5	$0.00209	$0.00209

Measured 4d ago against content hash 1c7619bb8cec, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

world-intel-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 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.

CLAUDE.md · 98 lines

How it starts

The opening of the file, as written. The whole thing — 98 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.

What This Is

World Intelligence MCP Server: 128 tools across 30+ domains providing real-time global intelligence from free public APIs. Serves four interfaces: MCP stdio (for Claude Code/Cursor), a live Starlette dashboard with SSE, a Click CLI with Rich output, and a collector daemon for 24/7 vector store population. Python 3.11+, built with hatchling.

Commands

# Install
pip install -e ".[dev,dashboard]"

# Run MCP server (stdio mode)
world-intel-mcp

# Run tests (pytest-asyncio, auto mode)
pytest
pytest --cov=world_intel_mcp
pytest src/world_intel_mcp/tests/test_sources.py::test_fetch_market_quotes -v  # single test

# CLI
intel markets                    # stock indices
intel earthquakes --min-mag 5.0  # USGS quakes
intel status                     # cache + circuit breaker health

# Dashboard (requires [dashboard] extra)
intel-dashboard --port 8501
# Or with .env auto-loaded:
./run-dashboard.sh

Architecture

Three consumers share the same source modules and infrastructure stack:

server.py (MCP stdio)  ─┐                                              ┌─ VectorStore (Qdrant)
cli.py (Click CLI)      ├─> sources/*.py ─> Fetcher ─> CircuitBreaker ─┤
dashboard/app.py (SSE)  ─┘    analysis/*.py                            └─ Cache (SQLite)
collector.py (daemon)  ──┘

Infrastructure layer (fetcher.py, cache.py, circuit_breaker.py):

Fetcher: Centralized async HTTP client (httpx). All external calls go through get_json(), get_text(), or get_xml(). Handles retries (2 max), per-source rate limiting, and stale-data fallback (never returns blank if old data exists).
CircuitBreaker: Per-source tracking. 3 consecutive failures trips the breaker for 5 minutes. Each RSS feed gets its own breaker (rss:bbc_world).
Cache: SQLite WAL-mode TTL cache. get() returns live data, get_stale() returns expired data for fallback.

Read the full file on GitHub · 98 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.

4d ago Changed · +5 lines · +603 tokens per session 1c7619bb8cec
8d ago First seen · 93 lines · 1,486 tokens per session scan A a3f0eb33a1b8

Subscribe to this mod's changes

world-intel-mcp CLAUDE.md is an instructions file published in the GitHub repository marc-shade/world-intel-mcp (628 stars, last pushed 5d ago), licensed MIT. It adds 2,089 tokens to every session, about $0.0104 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.

Building agents Research ai-tools anthropic claude cybersecurity mcp model-context-protocol

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

world-intel-mcp: Instructions file for Claude Code