Borrowing it
Nothing to install: this file belongs to jeanibarz/knowledge-base-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.
curl -O https://raw.githubusercontent.com/jeanibarz/knowledge-base-mcp-server/main/CLAUDE.mdgit clone --depth 1 https://github.com/jeanibarz/knowledge-base-mcp-serverWrote 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/jeanibarz/knowledge-base-mcp-server/claude-md)<a href="https://agentmods.dev/instructions/jeanibarz/knowledge-base-mcp-server/claude-md"><img src="https://agentmods.dev/badge/instructions/jeanibarz/knowledge-base-mcp-server/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 5.1 | $0.01523 | $0.01523 |
| Opus 5 | $0.00762 | $0.00762 |
| Sonnet 5 | $0.00305 | $0.00305 |
| Haiku 4.5 | $0.00152 | $0.00152 |
Grade A, and why
knowledge-base-mcp-server 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 2d 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 — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
knowledge-base-mcp-server — Agent Instructions
Local-first knowledge-base MCP server and kb CLI backed by embedded FAISS indexes and pluggable embedding providers (HuggingFace, Ollama, or OpenAI).
Working on this repo
Build / test / run
npm install
npm run build # tsc → build/index.js (chmod +x, stdio-executable)
npm test # build + test:parallel (--maxWorkers=4) + test:serial (--runInBand) — must stay green
npm run dev # nodemon src/index.ts for iteration
node build/index.js # runs the server over stdio (clients launch it this way)
Key architecture
- Transport:
src/KnowledgeBaseServer.tsstarts stdio by default and can opt into SSE or streamable HTTP viaMCP_TRANSPORT. HTTP/SSE mode requiresMCP_AUTH_TOKENand defaults to loopback. - MCP tool surface: tools are registered in
KnowledgeBaseServer.registerTools(). Current tools includelist_knowledge_bases,retrieve_knowledge,ask_knowledge,list_models,kb_stats,diff_index,add_document,delete_document, andreindex_knowledge_base. - CLI surface:
src/cli.tsis thekbdispatcher. Command-specific behavior lives insrc/cli-*.ts; shared command-independent logic belongs in*-core.tshelpers. - Embeddings:
FaissIndexManageris constructed for a concrete(provider, modelName)pair. Provider defaults come fromEMBEDDING_PROVIDERplus provider-specific model env vars. - Index layout:
$FAISS_INDEX_PATH/active.txtselects a model id. Each model stores metadata and versioned FAISS data under$FAISS_INDEX_PATH/models/<model_id>/. Seeactive-model.ts— it decides and enforces this layout, so read it before changing any index path. - Indexing strategy: per-file SHA256 hashes and chunk manifests in
<kb>/.index/let a refresh skip content that has not changed, so re-indexing costs embedding calls only for what moved. To stop concurrent writers from corrupting an index, mutating refreshes take a per-model write lock and save new index versions atomically. - Logging:
logger.tswrites only to stderr (and optionallyLOG_FILE). Writing to stdout corrupts the JSON-RPC stream — this is a landed bug, never reintroduceconsole.loginside the server process.
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.
- 2d ago Changed · +43 tokens per session e08887c7f1f3
- 6d ago First seen · 68 lines · 1,480 tokens per session scan A 0f2d523c9cfd
knowledge-base-mcp-server CLAUDE.md is an instructions file published in the GitHub repository jeanibarz/knowledge-base-mcp-server (53 stars, last pushed yesterday), licensed Unlicense. It adds 1,523 tokens to every session, about $0.0076 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 2026-08-30.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
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 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).
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.
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.