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/sandboxservers/memory-alpha-mcp/claude-mdgit clone --depth 1 https://github.com/SandboxServers/Memory-Alpha-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/sandboxservers/memory-alpha-mcp/claude-md)<a href="https://agentmods.dev/instructions/sandboxservers/memory-alpha-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/sandboxservers/memory-alpha-mcp/claude-md.svg" alt="Measured on agentmods" 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 | $0.00665 | $0.00665 |
| Opus 5 | $0.00332 | $0.00332 |
| Sonnet 5 | $0.00133 | $0.00133 |
| Haiku 4.5 | $0.00067 | $0.00067 |
Grade A, and why
Memory-Alpha-MCP CLAUDE.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 4d 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 — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Memory Alpha MCP Server
Project Context
MCP server providing Star Trek knowledge from Memory Alpha's wiki API. TypeScript, ESM, Node 18+.
Primary libraries and runtime conventions:
@modelcontextprotocol/sdkfor MCP server/tool/prompt/resource registrationwtf_wikipediafor primary wikitext parsingzodfor tool schemas and input validationvitestfor unit tests- NodeNext ESM import style with explicit
.jsextensions on relative imports
The server runs over stdio and fetches Memory Alpha content dynamically at runtime. Treat transport safety and attribution as core requirements, not optional polish.
Commands
Run from the repository root:
npm installnpm run buildnpm run devnpm testnpx @modelcontextprotocol/inspector node dist/index.js
Non-Negotiable Rules
- Never use
console.logbecause it can corrupt the stdio MCP transport. Useconsole.errorviasrc/utils/logger.ts. - All successful tool responses that include Memory Alpha content must use
withAttribution()fromsrc/utils/attribution.ts. - Error responses that contain no wiki content should not add attribution.
- All string tool parameters need
.max(...)bounds in theirzodschema. - Keep content dynamic. Do not embed Memory Alpha article text into the repository.
- Preserve NodeNext ESM imports with
.jsextensions on relative paths. wtf_wikipediaquirk: callsection.text({})anddoc.text({}), not.text().
Architecture Notes
src/index.tswires up the MCP server, stdio transport, graceful shutdown, and registration of tools/prompts/resources.src/api/client.tsowns fetch behavior: rate limiting, timeout, retry, and in-memory caching. Reuse it instead of rolling custom HTTP logic.src/parser/wikitext.tsandsrc/parser/infobox.tscontain the parsing edge cases for disambiguation handling and nested sidebar templates.src/resources/index.tscontains original static reference material. Keep those resources original rather than copied wiki content.
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.
- 4d ago First seen · 63 lines · 665 tokens per session scan A 25c9cbf9c89d
Memory-Alpha-MCP CLAUDE.md is an instructions file published in the GitHub repository SandboxServers/Memory-Alpha-MCP (1 stars, last pushed 4mo ago), licensed MIT. It adds 665 tokens to every session, about $0.0033 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
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).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
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.
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).
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.
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.