grok-x-insights-mcp: Instructions file for Codex

AGENTS.md

grok-x-insights-mcp AGENTS.md is an instructions file for Codex, OpenCode from mzkrasner/grok-x-insights-mcp. It costs 1,888 tokens per session, scanned A, original, MIT.

Instructions for an MCP server that gathers live social information from X, formerly known as Twitter, using Grok's search capabilities. It supports post searches, topic analysis, trend discovery, and chat grounded in X data.

In plain words
What is it for?
Use it to search and analyse posts, examine topics by aspects such as sentiment or controversy, identify trends, or chat with optional X searches.
Why use it?
It gives an AI assistant a defined way to investigate current discussions on X instead of relying only on older training data. The repository instructions also require planning before implementation.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions AGENTS.md.

This is mzkrasner/grok-x-insights-mcp's own configuration. It tells Codex and OpenCode how to work on grok-x-insights-mcp 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 grok-x-insights-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to mzkrasner/grok-x-insights-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/mzkrasner/grok-x-insights-mcp/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/mzkrasner/grok-x-insights-mcp

Made for: Codex, OpenCode.

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Per session 1,888 This file is loaded in full into every session.
When invoked 1,888 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 $0.01888 $0.01888
Opus 5 $0.00944 $0.00944
Sonnet 5 $0.00378 $0.00378
Haiku 4.5 $0.00189 $0.00189

Measured 12d ago against content hash 783409a11ac9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

grok-x-insights-mcp AGENTS.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 12d 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.

AGENTS.md · 291 lines

How it starts

The opening of the file, as written. The whole thing — 291 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md - AI Agent Guidelines

Project Overview

Grok X Insights MCP (grok-mcp) provides real-time social intelligence from X/Twitter for AI assistants like Claude and Cursor — powered by Grok's live search capabilities instead of the expensive X API.

Core capabilities:

  • Search and analyze X/Twitter posts about any topic
  • Deep topic analysis with customizable aspects (influencers, sentiment, controversy, etc.)
  • Trend identification with volume and sentiment metrics
  • Grok chat grounded in live X/Twitter data

Architecture

Core Components

  • src/index.ts - MCP server entry point with tool registration
  • src/grok-api.ts - Grok API client with retry logic and rate limiting
  • src/config.ts - Configuration management and logging

Tool Definitions

  1. grok_search_posts - Search and analyze posts about any topic
  2. grok_analyze_topic - Deep analysis with customizable aspects
  3. grok_get_trends - Identify trending topics and discussions
  4. grok_chat - General chat with optional X/Twitter search

Agent Workflow Requirements

MANDATORY for all AI agents working in this repo:

1. Use Planning Before Implementation

  • Always create an explicit plan (high-level checklist or task breakdown) before editing code
  • Use the todo_write tool to track tasks and progress
  • Refine and update the plan as you discover new constraints

2. Commit Frequently with Passing Pre-Commit Hooks

  • NEVER disable, bypass, or use --no-verify
  • Fix issues reported by hooks before committing
  • Make small, focused commits (one logical change per commit)
  • Commit after each completed task, not at the end of all work

3. Verify All Checks Before Claiming Completion

Before marking work as complete, you MUST run and pass:

npm run lint           # ESLint
npm run type-check     # TypeScript (tsc --noEmit)
npm test               # All tests
npm run build          # Build
  • Only claim completion when all checks are green

Read the full file on GitHub · 291 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. 12d ago First seen · 291 lines · 1,888 tokens per session scan A 783409a11ac9

Subscribe to this mod's changes

grok-x-insights-mcp AGENTS.md is an instructions file published in the GitHub repository mzkrasner/grok-x-insights-mcp (3 stars, last pushed 6mo ago), licensed MIT. It adds 1,888 tokens to every session, about $0.0094 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.

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