felt-mcp AGENTS.md

A set of repository instructions for felt-mcp, an MCP server that connects AI assistants to Felt. It covers architecture decisions, changelog rules, Felt API documentation, commands, and Python coding standards.

In plain words
What is it for?
Use it when modifying felt-mcp, reading its architecture records, updating its changelog, running linting or tests, or checking its Python formatting and type requirements.
Why use it?
It tells contributors which project decisions and quality checks apply before code is changed. This helps keep the server aligned with its documented architecture and Python style.

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/kthy/felt-mcp/agents-md
Clone the repo
git clone --depth 1 https://github.com/kthy/felt-mcp

Made for: Codex, OpenCode.

Per session 996 This file is loaded in full into every session.
When invoked 996 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 $0.00996 $0.00996
Opus 5 $0.00498 $0.00498
Sonnet 5 $0.00199 $0.00199
Haiku 4.5 $0.00100 $0.00100

Measured yesterday against content hash f825abac7751, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

felt-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 yesterday.

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 · 123 lines

How it starts

The opening of the file, as written. The whole thing — 123 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 agents working with code in this repository, which holds an MCP server for agentic interaction with [Felt]. More details in README.md.

Architecture Decision Records

Architecture decisions are documented in ADRs.md in the repository root. All code must adhere to the decisions recorded there.

Changelog

The project keeps a changelog in CHANGELOG.md. Usage is as described at https://keepachangelog.com/en/1.1.0/. You can also refer to https://raw.githubusercontent.com/Utiligize/configator-op/refs/heads/main/CHANGELOG.md to see how I want it to look.

SDK Docs

The MCP is built around the Felt API which has docs at https://developers.felt.com/rest-api/api-reference.

Commands

  • Lint, format and type check: just lint
  • Test: just test or for single test: uv run python -m pytest tests/path/to/test.py::test_function
  • re-run previously failed tests: just test-failed

Code Style Guidelines

  • Python version: 3.14 (strict)
  • Line length: 99 characters
  • Indentation: 4 spaces for Python files
  • Imports: Grouped by stdlib, third-party, local with alphabetical ordering
  • Type hints: Required for all functions (disallow_untyped_defs = true)
  • Naming: Follow Python conventions (snake_case for functions/variables, CamelCase for classes)
  • Docstrings: Follow PEP 257 for concise, single-line docstrings for simple functions, more detailed for complex functionality
  • Testing: Use pytest fixtures and appropriate mocking
  • Formatting: Enforced by Ruff with rules listed in pyproject.toml
  • Git commit messages: Use the Conventional Commits style
  • When importing Python packages, use the explicit style from <package> import <method>

MCP Tools & Configuration

  • Context7: Use for up-to-date documentation for third-party code libraries
  • SonarQube: See sonar-project.properties for project setup

Implementation Workflow

This repository follows GitHub Flow for version control and collaboration.

Read the full file on GitHub · 123 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. yesterday First seen · 123 lines · 996 tokens per session scan A f825abac7751

Subscribe to this mod's changes

felt-mcp AGENTS.md is an instructions file published in the GitHub repository kthy/felt-mcp (0 stars, last pushed 5mo ago), licensed MIT. It adds 996 tokens to every session, about $0.0050 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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