Borrowing it
Nothing to install: this file belongs to Am1n3e/unmcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Am1n3e/unmcp/main/AGENTS.mdgit clone --depth 1 https://github.com/Am1n3e/unmcpWrote 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.
[](https://agentmods.dev/instructions/am1n3e/unmcp/agents-md)<a href="https://agentmods.dev/instructions/am1n3e/unmcp/agents-md"><img src="https://agentmods.dev/badge/instructions/am1n3e/unmcp/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/am1n3e/unmcp/agents-md"><img src="https://agentmods.dev/badge/instructions/am1n3e/unmcp/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00613 | $0.00613 |
| Opus 5.5 | $0.00245 | $0.00245 |
| Sonnet 5.5 | $0.00123 | $0.00123 |
| Haiku 4.5 | $0.00061 | $0.00061 |
Grade A, and why
unmcp 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.
How it starts
The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
This file provides guidance to AI coding agents when working with code in this repository.
Build & Development Commands
# Install dependencies (uses uv)
uv sync
# Run the CLI
uv run unmcp --help
# Linting & formatting
uv run ruff check . # lint
uv run ruff check --fix . # lint with auto-fix
uv run ruff format . # format
# Type checking
uv run ty check
Architecture Overview
unmcp is a CLI that provides direct command-line access to MCP (Model Context Protocol) servers, bypassing the protocol overhead for simpler workflows.
Two Execution Modes
On-Demand Mode (default): Each tool call spawns a new MCP server process, executes the tool, and exits. Simple but slower for repeated calls.
Persistent Mode: A daemon process keeps the MCP server running, communicating via Unix socket. Tool calls connect to the daemon rather than spawning new processes.
Core Components
-
cli.py - Click-based CLI with
DynamicServerGroupthat dynamically creates subcommands from cached tool schemas. Server tools appear asunmcp <server> <tool>. -
services/server_manager.py -
ServerManagerhandles server lifecycle: init (discover tools), start (spawn daemon), stop, status. -
services/tool_runner.py -
ToolRunnerexecutes tools, automatically routing to socket (persistent) or spawning new process (on-demand). -
daemon.py -
DaemonServermaintains MCP session and exposes it via Unix socket. Accepts JSON-RPC style messages (call_tool,list_tools,shutdown). -
mcp_client.py -
MCPClientwraps the MCP SDK's stdio transport for one-shot server connections.
Data Flow
unmcp clt init <server>- connects to MCP server, caches tool schemas to.unmcp/servers/<server>.jsonunmcp <server> <tool>- CLI looks up cached schema, builds Click command, invokesToolRunner.call()ToolRunnerchecks for socket at.unmcp/sockets/<server>.sock:- If exists: sends request via socket to daemon
- If not: creates
MCPClient, spawns process, calls tool, exits
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.
- 2mo ago First seen · 60 lines · 613 tokens per session scan A 081fb5383b4b
unmcp AGENTS.md is an instructions file published in the GitHub repository Am1n3e/unmcp (11 stars, last pushed 7mo ago), licensed MIT. It adds 613 tokens to every session, about $0.0025 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 2026-08-31.
unmcp AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| unmcp AGENTS.mdAm1n3e/unmcp | Instructions file | 11 | 7mo ago | MIT | A | 613 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| vscode ai-customization.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 1,907 | GitHub Copilot |