mcp-client-cli: Instructions file for Codex

AGENTS.md

mcp-client-cli AGENTS.md is an instructions file for Codex, OpenCode from adhikasp/mcp-client-cli. It costs 1,472 tokens per session, scanned A, original, MIT.

Repository instructions for mcp-client-cli, a terminal program that lets users send prompts to language models and connect them to external tools. It also describes the project structure and how conversations and saved context work.

In plain words
What is it for?
Use it when changing the command-line interface, model-provider support, tool connections, conversation saving, prompt templates, image input, or memory storage.
Why use it?
It helps a coding agent understand the command flow, supported model providers, tool connections, and where the main parts of the program live.

Instructions file for CodexOpenCode

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

This is adhikasp/mcp-client-cli's own configuration. It tells Codex and OpenCode how to work on mcp-client-cli 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 mcp-client-cli configures →

Reuse

Borrowing it

Nothing to install: this file belongs to adhikasp/mcp-client-cli. 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/adhikasp/mcp-client-cli/master/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/adhikasp/mcp-client-cli

Made for: Codex, OpenCode.

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Per session 1,472 This file is loaded in full into every session.
When invoked 1,472 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 $0.01472 $0.01472
Opus 5.5 $0.00589 $0.00589
Sonnet 5.5 $0.00294 $0.00294
Haiku 4.5 $0.00147 $0.00147

Measured 2mo ago against content hash 215ab5a95e1b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

mcp-client-cli 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 2mo 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 · 196 lines

How it starts

The opening of the file, as written. The whole thing — 196 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Project Overview

mcp-client-cli is a CLI tool that acts as a Model Context Protocol (MCP) client. It allows users to run LLM prompts from the terminal with access to MCP-compatible servers/tools. The CLI supports multiple LLM providers (OpenAI, Anthropic, Google) and can be extended with any MCP-compatible server.

Key Features:

  • MCP client implementation for tool usage
  • Multi-provider LLM support (OpenAI, Anthropic, Google, local models)
  • Conversation persistence and continuation
  • Prompt templates
  • Image input support (via stdin or clipboard)
  • Memory storage for context across sessions

Architecture

The project uses:

  • LangChain/LangGraph: For LLM orchestration and agent execution
  • MCP SDK: For communicating with MCP servers
  • SQLite: For conversation checkpointing and memory storage
  • Rich: For terminal output formatting

Core Flow

  1. User provides a query via CLI
  2. cli.py parses arguments and loads configuration
  3. MCP servers are initialized and tools are loaded
  4. A LangGraph ReAct agent processes the query with available tools
  5. Results are streamed back to the user with Rich formatting

Directory Structure

mcp-client-cli/
├── src/mcp_client_cli/
│   ├── cli.py       # Main entry point, argument parsing, agent orchestration
│   ├── config.py    # Configuration loading and dataclasses
│   ├── const.py     # Constants (paths, defaults)
│   ├── input.py     # Input handling (clipboard support)
│   ├── memory.py    # SQLite-based memory/store implementation
│   ├── output.py    # Output formatting with Rich
│   ├── prompt.py    # Prompt templates
│   ├── storage.py   # Tool caching and conversation management
│   └── tool.py      # MCP to LangChain tool conversion
├── .github/workflows/
│   ├── test.yml     # Installation tests on Linux/Windows/macOS
│   └── release.yml  # PyPI publishing workflow
├── pyproject.toml   # Project metadata and dependencies
├── CONFIG.md        # Configuration documentation
└── README.md        # User-facing documentation

Read the full file on GitHub · 196 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. 2mo ago First seen · 196 lines · 1,472 tokens per session scan A 215ab5a95e1b

Subscribe to this mod's changes

mcp-client-cli AGENTS.md is an instructions file published in the GitHub repository adhikasp/mcp-client-cli (676 stars, last pushed 11mo ago), licensed MIT. It adds 1,472 tokens to every session, about $0.0059 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 2026-08-30.

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