What is dci-mcp-server AGENTS.md?

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.

Use them when modifying the server, its DCI, GitHub, GitLab, Jira, Google Drive, or Red Hat support integrations, transport modes, or conditional tool registration.

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.

How redhat-community-ai-tools/dci-mcp-server configures Codex and Open

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.

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.

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.

Model	Per session	Once invoked
Fable 5.1	$0.04917	$0.04917
Opus 5.5	$0.01967	$0.01967
Sonnet 5.5	$0.00983	$0.00983
Haiku 4.5	$0.00492	$0.00492

Measured 2mo ago against content hash e91de5e3b22c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 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 · 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

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
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)
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
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.

2mo 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 3d ago), licensed Apache-2.0. It adds 4,917 tokens to every session, about $0.0197 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.

dci-mcp-server AGENTS.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
dci-mcp-server AGENTS.mdredhat-community-ai-tools/dci-mcp-server	Instructions file	1	3d ago	Apache-2.0	A	4,917	Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	9,719	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	yesterday	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	yesterday	MIT	A	4,680	Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	5,516	GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	3,093	GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness	Instructions file	274k	2d ago	MIT	A	4,313	Codex, OpenCode

dci-mcp-server: Instructions file for Codex