mcp-testkit: Instructions file for Codex

AGENTS.md

mcp-testkit AGENTS.md is an instructions file for Codex, OpenCode from agentspan-ai/mcp-testkit. It costs 1,441 tokens per session, scanned A, original, MIT.

A project-specific AGENTS.md instruction file for contributors and coding agents. It describes an MCP test server, a service that lets clients call tools, and how its code is organised.

In plain words
What is it for?
Use it when adding tools, choosing the correct module, and working with the server, REST API, tool modules, or tests in this project.
Why use it?
It gives agents the project’s architecture and contribution rules before they change code, reducing misplaced files and inconsistent implementations.

Instructions file for CodexOpenCode

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

This is agentspan-ai/mcp-testkit's own configuration. It tells Codex and OpenCode how to work on mcp-testkit 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-testkit configures →

Reuse

Borrowing it

Nothing to install: this file belongs to agentspan-ai/mcp-testkit. 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/agentspan-ai/mcp-testkit/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/agentspan-ai/mcp-testkit

Made for: Codex, OpenCode.

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Per session 1,441 This file is loaded in full into every session.
When invoked 1,441 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 $0.01441 $0.01441
Opus 5.5 $0.00576 $0.00576
Sonnet 5.5 $0.00288 $0.00288
Haiku 4.5 $0.00144 $0.00144

Measured 2mo ago against content hash b8eae44f8351, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

mcp-testkit 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 · 159 lines

How it starts

The opening of the file, as written. The whole thing — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Contributing Guide

Instructions for AI agents contributing to this project.

Project Overview

This is an MCP test server with 65 deterministic tools across 8 groups, exposed via MCP (stdio/HTTP) and REST API. Every tool returns identical output for identical input — no randomness, no datetime.now(), no external state.

Architecture

mcp_test_server/
  server.py      → Entry point. Creates FastMCP instance, registers tools, starts transport.
  api.py         → REST API. Data-driven endpoint registry generates Starlette routes + OpenAPI spec.
  tools/*.py     → Tool modules. Each exports register(mcp) that decorates tools with @mcp.tool().
tests/*.py       → Unit + integration tests using unittest + FastMCP's call_tool().

Key pattern: Tools are registered as closures inside register(mcp) via @mcp.tool() decorators. Helper functions live at module level.

How to Add a New Tool

1. Choose the right module

Group File When to use
math mcp_test_server/tools/math_tools.py Numeric computation
string mcp_test_server/tools/string_tools.py String manipulation
collection mcp_test_server/tools/collection_tools.py Array/dict operations
encoding mcp_test_server/tools/encoding_tools.py Encode/decode/hash
datetime mcp_test_server/tools/datetime_tools.py Date computations (no current time!)
validation mcp_test_server/tools/validation_tools.py Input checking (returns {valid, reason})
conversion mcp_test_server/tools/conversion_tools.py Unit/format conversions
echo mcp_test_server/tools/echo_tools.py Protocol testing, fixtures, misc

If a tool doesn't fit any group, add it to mcp_test_server/tools/echo_tools.py (the catch-all for test fixtures).

2. Implement the tool

Add it inside the register(mcp) function in the chosen module:

@mcp.tool()
def my_new_tool(param: str, count: int) -> str:
    """Clear one-line description of what the tool does."""
    result = param * count
    return json.dumps({"result": result})

Read the full file on GitHub · 159 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 · 159 lines · 1,441 tokens per session scan A b8eae44f8351

Subscribe to this mod's changes

mcp-testkit AGENTS.md is an instructions file published in the GitHub repository agentspan-ai/mcp-testkit (1 stars, last pushed 2mo ago), licensed MIT. It adds 1,441 tokens to every session, about $0.0058 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.

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