dci-mcp-server: Instructions file for Codex

AGENTS.md

dci-mcp-server AGENTS.md is an instructions file for Codex, OpenCode from redhat-community-ai-tools/dci-mcp-server. It costs 4,917 tokens per session, scanned A, original, Apache-2.0.

Repository-specific instructions for an AI coding assistant working on the DCI MCP server. They explain the project's architecture, major components, supported connections, and how the server communicates with clients.

In plain words
What is it for?
Use them when modifying the server, its DCI, GitHub, GitLab, Jira, Google Drive, or Red Hat support integrations, transport modes, or conditional tool registration.
Why use it?
They give the assistant the project's background and rules before it changes code. This reduces the chance of edits that conflict with the existing design.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions CLAUDE.md; positional $N argument; mentions Claude Code.

This is redhat-community-ai-tools/dci-mcp-server's own configuration. It tells Codex and OpenCode how to work on dci-mcp-server 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 dci-mcp-server configures →

Reuse

Borrowing it

Nothing to install: this file belongs to redhat-community-ai-tools/dci-mcp-server. 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/redhat-community-ai-tools/dci-mcp-server/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/redhat-community-ai-tools/dci-mcp-server

Made for: Codex, OpenCode.

Wrote 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.

agentmods badge for dci-mcp-server AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/redhat-community-ai-tools/dci-mcp-server/agents-md/github.svg)](https://agentmods.dev/instructions/redhat-community-ai-tools/dci-mcp-server/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/redhat-community-ai-tools/dci-mcp-server/agents-md"><img src="https://agentmods.dev/badge/instructions/redhat-community-ai-tools/dci-mcp-server/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.

agentmods 80×15 button for dci-mcp-server AGENTS.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/redhat-community-ai-tools/dci-mcp-server/agents-md"><img src="https://agentmods.dev/badge/instructions/redhat-community-ai-tools/dci-mcp-server/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 4,917 This file is loaded in full into every session.
When invoked 4,917 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 $0.04917 $0.04917
Opus 5 $0.02459 $0.02459
Sonnet 5 $0.00983 $0.00983
Haiku 4.5 $0.00492 $0.00492

Measured 9d ago against content hash e91de5e3b22c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

dci-mcp-server 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 9d 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 · 378 lines

How it starts

The opening of the file, as written. The whole thing — 378 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Overview

This is an MCP (Model Context Protocol) server that provides AI assistants with tools to interact with:

  • DCI (Distributed CI): Red Hat's distributed continuous integration system
  • GitHub: Issues, PRs, and repository information
  • GitLab: Issues, merge requests, diffs, and project information
  • Jira: Ticket data with comments and changelog
  • Google Drive: Document creation from DCI reports
  • Red Hat Support Cases: Case data from the Customer Portal

The server is built with FastMCP and supports multiple transport modes (stdio for CLI/IDE integration, SSE/HTTP for web applications).

Architecture

Core Components

  1. Services (mcp_server/services/): Business logic for external APIs

    • All DCI services inherit from DCIBaseService which handles authentication (API key or login/password)
    • Each service encapsulates API interactions for a specific domain (jobs, components, files, etc.)
    • External services: github_service.py, jira_service.py, google_drive_service.py, support_case_service.py
  2. Tools (mcp_server/tools/): MCP tool definitions that wrap service methods

    • Tools are registered conditionally in mcp_server/main.py based on available credentials
    • Each tool file exports a register_*_tools(mcp) function
    • Naming convention: <domain>_tools.py (e.g., job_tools.py, github_tools.py)
  3. Prompts (mcp_server/prompts/): Parameterized prompts for common workflows

    • /dci/rca <job_id>: Root cause analysis workflow
    • /dci/weekly <subject>: 7-day analysis report
    • /dci/biweekly <subject>: 14-day analysis report
    • /dci/quarterly <remoteci>: 3-month comprehensive analysis with statistics
  4. Entry Points:

    • main.py: CLI entry point that reads MCP_TRANSPORT env var (stdio|sse|http)
    • mcp_server/main.py: Creates and configures the FastMCP server instance

Read the full file on GitHub · 378 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. 9d ago First seen · 378 lines · 4,917 tokens per session scan A e91de5e3b22c

Subscribe to this mod's changes

dci-mcp-server AGENTS.md is an instructions file published in the GitHub repository redhat-community-ai-tools/dci-mcp-server (1 stars, last pushed today), licensed Apache-2.0. It adds 4,917 tokens to every session, about $0.0246 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.

Related

Other instructions, from other repositories

next.js AGENTS.md

AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.

vercel/next.js · 7,296 tokens

codex AGENTS.md

AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.

openai/codex · 5,153 tokens

vscode buildNext.instructions.md

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

microsoft/vscode · 6,785 tokens

vscode oss-third-party-notices.instructions.md

Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).

microsoft/vscode · 5,001 tokens

langchain AGENTS.md

AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.

langchain-ai/langchain · 4,469 tokens

deepseek-harness AGENTS.md

AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.

deepseek-ai/deepseek-harness · 3,735 tokens