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.
npx agentmods add instructions/grinv/tmdb-mcp/agents-mdgit clone --depth 1 https://github.com/Grinv/tmdb-mcpWhat 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 | $0.02581 | $0.02581 |
| Opus 5 | $0.01290 | $0.01290 |
| Sonnet 5 | $0.00516 | $0.00516 |
| Haiku 4.5 | $0.00258 | $0.00258 |
Grade A, and why
tmdb-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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Single source of truth for working on this repository — for any model or
agent. CLAUDE.md only references this file (@AGENTS.md); keep all shared
guidance here, not in CLAUDE.md. (For end-user/runtime docs, see README.md.)
Project shape
A TypeScript MCP server for movie/TV data. Hybrid backend: TMDB is the backbone
(search, metadata, people, trending) via its v3 REST API with a v4 Read Access
Token; OMDb is optional enrichment supplying IMDb/Rotten Tomatoes/Metacritic
ratings, keyed by the imdb_id TMDB returns. Design rationale (why two
clients, why not the IMDb API, TMDB endpoint quirks, template reuse) lives in
docs/architecture.md.
src/
index.ts # bin entry — calls start()
server.ts # buildServer() + start(); registers everything
config.ts # env → validated Config (zod)
version.ts # VERSION constant kept in sync with package.json by npm version
format.ts # raw TMDB/OMDb payloads → trimmed, agent-facing shapes
format.schemas.ts # Zod schemas mirroring format.ts's shapers 1:1; each tool's outputSchema
# AND the shaper itself parses its result through the matching schema
# before returning, so shaper/schema drift throws immediately
prompts.ts # MCP Prompts: multi-step plans that guide the model through the tools
lib/ # GENERIC carcass: http, rateLimit, cache, upstream, errors, logger, result
clients/ # tmdb.ts (backbone reads), omdb.ts (ratings enrichment)
tools/ # tmdb/ (search.ts, details.ts incl. OMDb enrichment, discover.ts, lookups.ts,
# fields.ts shared builders, index.ts composes registerTmdbTools), omdb.ts
# (get_ratings), shared.ts (READ_ONLY, requireConfigured(Cached) — try/catch →
# ToolResult)
__tests__/ # node:test (*.test.ts) + helpers.ts
scripts/ # build-tests.mjs, run-tests.mjs (generic), check-api.mjs (domain),
# sync-version.mjs (npm version hook), preversion-check.mjs (npm version
# gate — see .agents/skills/release/SKILL.md)
.agents/skills/ # reusable agent workflows for this repo (e.g. live-audit/) — plain Markdown
# with a YAML frontmatter name/description, not tied to any one tool's
# orchestration features. Same skill name/layout as this project's sibling
# MCP servers (steam-games-mcp, mal-mcp, anilist-mcp-server) — sync
# improvements both ways rather than letting them drift. `.claude/skills` is
# a symlink here (Codex CLI/Gemini CLI read `.agents/skills` directly,
# Claude Code the symlink)
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.
- 3d ago First seen · 165 lines · 2,581 tokens per session scan A f7df04285946
tmdb-mcp AGENTS.md is an instructions file published in the GitHub repository Grinv/tmdb-mcp (4 stars, last pushed 10d ago), licensed MIT. It adds 2,581 tokens to every session, about $0.0129 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.
Other instructions, from other repositories
steam-games-mcp AGENTS.md
Instructions for Grinv/steam-games-mcp, covering agents.md, project shape, commands, conventions and testing the live/published server.
mal-mcp AGENTS.md
Instructions for Grinv/mal-mcp, covering agents.md, project shape, commands, conventions and testing the live/published server.
steam-games-mcp CLAUDE.md
Instructions for Grinv/steam-games-mcp, a project described as: MCP server for Steam: keyless store/catalog data (deals, tags, SteamOS/Deck/Frame compat) plus player profiles, libraries and achievements via the Steam Web API.
mal-mcp CLAUDE.md
Instructions for Grinv/mal-mcp, a project described as: MyAnimeList MCP server — Tenrai-powered reads plus official MAL personal-list management. Works with any MCP client.
markitdown-mcp AGENTS.md
Instructions for trsdn/markitdown-mcp, covering ai agents integration guide, 🤖 quick reference for ai agents, primary use cases, available tools and 🛠️ tool usage guide.
che-word-mcp CLAUDE.md
Claude Code instructions for PsychQuant/che-word-mcp, covering che-word-mcp 開發指引, 專案結構, 重要路徑規則, binary 安裝位置 and mcpb 打包檔位置.