Borrowing it
Nothing to install: this file belongs to DataJourneyHQ/MCP. 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/DataJourneyHQ/MCP/main/AGENTS.mdgit clone --depth 1 https://github.com/DataJourneyHQ/MCPWrote 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/datajourneyhq/mcp/agents-md)<a href="https://agentmods.dev/instructions/datajourneyhq/mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/datajourneyhq/mcp/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/datajourneyhq/mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/datajourneyhq/mcp/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 | $0.00503 | $0.00503 |
| Opus 5.5 | $0.00201 | $0.00201 |
| Sonnet 5.5 | $0.00101 | $0.00101 |
| Haiku 4.5 | $0.00050 | $0.00050 |
Grade A, and why
MCP AGENTS.md scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
There is no established history yet, so start commits with a short imperative summary (≤50 chars), followed by wrapped body text explaining context and follow-up steps. Reference issue numbers (`Closes #12`) when applica How it starts
The opening of the file, as written. The whole thing — 20 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repository Guidelines
Project Structure & Module Organization
The Gleam application lives in src/, with datajourney_mcp.gleam bootstrapping Mist, mcp_server.gleam defining MCP tools, router.gleam wiring HTTP/SSE/WebSocket routes, and types.gleam sharing runtime types. Keep new transport code alongside router.gleam, and place reusable helpers in new modules under src/. Tests belong in test/ using mirrored filenames (e.g., test/router_test.gleam). Generated artifacts land in build/; avoid committing edits there.
Build, Test, and Development Commands
Run gleam deps download after pulling new dependencies. Use gleam run to start the Mist server; override PORT via .env when needed. Format code with gleam format before sending patches. Execute gleam test to run the gleeunit suite, or gleam test --target erlang when debugging BEAM output.
Coding Style & Naming Conventions
Adopt the formatter's output (4-space indentation, trailing newline). Modules and functions use snake_case; exposed constants should share that pattern. Custom types and constructors follow PascalCase. Keep public APIs well-documented with /// comments, and group related functions together. Prefer pattern matching and immutable updates to mutable state.
Testing Guidelines
Write unit tests with gleeunit in files ending _test.gleam. Name test functions test_<behavior> and describe assertions clearly. Cover new transports and resource handlers with both happy-path and error cases. When adding external HTTP interactions, stub them in helper modules so tests stay deterministic. Run gleam test locally before pushing.
Commit & Pull Request Guidelines
There is no established history yet, so start commits with a short imperative summary (≤50 chars), followed by wrapped body text explaining context and follow-up steps. Reference issue numbers (Closes #12) when applicable. Pull requests should outline the change, the surfaced MCP capability, and verification steps (gleam test, manual curl). Include screenshots or logs for client-facing 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 · 20 lines · 503 tokens per session scan A 044eef233590
MCP AGENTS.md is an instructions file published in the GitHub repository DataJourneyHQ/MCP (5 stars, last pushed 2d ago), licensed Apache-2.0. It adds 503 tokens to every session, about $0.0020 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
MCP AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| MCP AGENTS.mdDataJourneyHQ/MCP | Instructions file | 5 | 2d ago | Apache-2.0 | A | 503 | 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 |