MCPSearch AGENTS.md

Repository instructions for MCPSearch explain its architecture, development commands, release process, and ways to run it. MCPSearch is a platform that searches and extracts information from multiple online sources.

In plain words
What is it for?
They are for guiding development, local setup, browser installation, Docker use, command-line operations, and version releases.
Why use it?
They give a coding agent the project context and exact commands needed to build, test, run, and release the software.

Instructions file for CodexOpenCode

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 instructions/jonusnattapong/mcpsearch/agents-md
Clone the repo
git clone --depth 1 https://github.com/JonusNattapong/MCPSearch

Made for: Codex, OpenCode.

Per session 1,584 This file is loaded in full into every session.
When invoked 1,584 The same file — it is already loaded in full.
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 $0.01584 $0.01584
Opus 5 $0.00792 $0.00792
Sonnet 5 $0.00317 $0.00317
Haiku 4.5 $0.00158 $0.00158

Measured 2d ago against content hash f93712f9c891, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

MCPSearch 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 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.

AGENTS.md · 198 lines

How it starts

The opening of the file, as written. The whole thing — 198 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md - MCPSearch Development Guide

Project Overview

MCPSearch is an AI-powered multi-source intelligence platform with MCP (Model Context Protocol) interface. It features hybrid crawling (httpx + Playwright + Camoufox), parallel search aggregation, social media scrapers, and advanced content extraction.

Build & Development Commands

# Using Makefile (recommended)
make install      # pip install -e .
make dev          # install with dev deps + playwright
make server       # python -m mcp_server

# Or manual
pip install -e .
pip install -e ".[dev]"
playwright install chromium

# Run MCP server (stdio transport)
python -m mcp_server

# CLI commands
mcpsearch search -q "query"
mcpsearch crawl -u "https://example.com"
mcpsearch read -u "https://example.com"

# Docker
make docker-build
make docker-run

Version Management

Version is managed from single source: mcpspider/version.py

# Auto-release with changelog generation
make patch        # 1.0.0 -> 1.0.1 (bug fixes)
make minor        # 1.0.0 -> 1.1.0 (new features)
make major        # 1.0.0 -> 2.0.0 (breaking changes)

# Or directly
python scripts/release.py patch
python scripts/release.py 1.2.3  # explicit version

Release process:

  1. Bumps version in version.py and pyproject.toml
  2. Generates changelog from git commits (conventional commits)
  3. Updates CHANGELOG.md
  4. Creates git commit + tag
  5. Pushes to GitHub
  6. Creates GitHub release

Conventional commits for changelog:

  • feat: -> Added
  • fix: -> Fixed
  • refactor:, docs:, perf: -> Changed
  • remove:, break: -> Removed

Testing

make test         # all tests
make test-cov     # with coverage

# Or manual
pytest
pytest --cov=.
pytest tests/test_crawler.py     # single file
pytest -k "test_search"          # by name

Linting & Formatting

make lint         # ruff check .
make lint-fix     # ruff check --fix .
make format       # ruff format .

Code Style Guidelines

Read the full file on GitHub · 198 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. 2d ago First seen · 198 lines · 1,584 tokens per session scan A f93712f9c891

Subscribe to this mod's changes

MCPSearch AGENTS.md is an instructions file published in the GitHub repository JonusNattapong/MCPSearch (1 stars, last pushed 5mo ago), licensed MIT. It adds 1,584 tokens to every session, about $0.0079 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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