Borrowing it
Nothing to install: this file belongs to nnaveenraju/smara-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/nnaveenraju/smara-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/nnaveenraju/smara-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/nnaveenraju/smara-mcp/claude-md)<a href="https://agentmods.dev/instructions/nnaveenraju/smara-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/nnaveenraju/smara-mcp/claude-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/nnaveenraju/smara-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/nnaveenraju/smara-mcp/claude-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 | $0.02281 | $0.02281 |
| Opus 5 | $0.01141 | $0.01141 |
| Sonnet 5 | $0.00456 | $0.00456 |
| Haiku 4.5 | $0.00228 | $0.00228 |
Grade A, and why
smara-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 11d 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 — 163 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.
Project Identity
- npm name:
smara-mcp(formerly "universal-memory-mcp" — directory still uses old name) - Tagline: Sovereign Universal Memory MCP — vendor-neutral, user-sovereign memory layer for AI agents
- Language: TypeScript (strict, ES2022, ESNext modules)
- Runtime: Node.js ≥ 20
- License: MIT OR Apache-2.0 (dual)
- Repo:
github.com/nnaveenraju/smara-mcp
Common Commands
npm install # install deps
npm run build # tsup → dist/
npm run dev # tsup --watch
npm start # node dist/index.js (run MCP server on stdio)
npm test # vitest run
npm run test:watch # vitest (watch mode)
npm run test:coverage # v8 coverage, reports text/json/html
npx vitest run tests/memory/document-store.test.ts # single file
npx vitest run -t "test name substring" # single test by name
npm run lint # tsc --noEmit (type-check only; no ESLint configured)
npm run docker:build # build image from docker/Dockerfile
npm run docker:compose # docker compose up (prod profile)
npm run eval:generate # generate synthetic eval dataset
npm run eval:benchmark # Recall@10 / MRR@10 / NDCG@10 benchmark
npm run eval:benchmark:real # same, using real embeddings (SMARA_USE_REAL_EMBEDDINGS=1)
scripts/ is currently empty. The init-db, migrate, and generate-key npm scripts reference files that don't yet exist — don't invoke them until the scripts are added.
High-Level Architecture
This is a stdio-based MCP server built on @modelcontextprotocol/sdk. The core design is a provider abstraction layer — the MCP server depends only on four interfaces, with concrete backends selected at startup from config. See ARCHITECTURE.md for the canonical reference (the diagrams and data flow there are authoritative).
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.
- 11d ago First seen · 163 lines · 2,281 tokens per session scan A 91cda593a32d
smara-mcp CLAUDE.md is an instructions file published in the GitHub repository nnaveenraju/smara-mcp (0 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 2,281 tokens to every session, about $0.0114 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.
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AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
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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).
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.
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).