Borrowing it
Nothing to install: this file belongs to nicholasglazer/gnosis-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/nicholasglazer/gnosis-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/nicholasglazer/gnosis-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/nicholasglazer/gnosis-mcp/claude-md)<a href="https://agentmods.dev/instructions/nicholasglazer/gnosis-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/nicholasglazer/gnosis-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/nicholasglazer/gnosis-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/nicholasglazer/gnosis-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 | $0.03745 | $0.03745 |
| Opus 5.5 | $0.01498 | $0.01498 |
| Sonnet 5.5 | $0.00749 | $0.00749 |
| Haiku 4.5 | $0.00375 | $0.00375 |
Grade A, and why
gnosis-mcp CLAUDE.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 1mo 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.
├── local_embed.py # Local ONNX embedding engine — stdlib urllib model download, CPU inference How it starts
The opening of the file, as written. The whole thing — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Gnosis MCP -- MCP Documentation Server
Open-source Python MCP server for searchable documentation. Zero-config SQLite default, PostgreSQL optional.
Dual-mode service (v0.14.0+): In addition to the Claude Code MCP (stdio) mode, gnosis-mcp runs as a production embeddings service — Dockerised, exposing
POST /v1/embed(OpenAI-compatible) backed by local ONNX inference. External services use it as a self-hosted embeddings backend without calling any cloud API.
Architecture
src/gnosis_mcp/
├── backend.py # DocBackend Protocol + create_backend() factory
├── pg_backend.py # PostgreSQL backend — asyncpg pool, $N params, tsvector, pgvector, UNION ALL
├── sqlite_backend.py # SQLite backend — aiosqlite, FTS5 + sqlite-vec hybrid (RRF), ? params
├── sqlite_schema.py # SQLite DDL — tables, FTS5 virtual table, vec0 virtual table, sync triggers
├── config.py # GnosisMcpConfig frozen dataclass, backend auto-detection, GNOSIS_MCP_* env vars
├── db.py # Backend lifecycle + FastMCP lifespan context manager
├── server.py # FastMCP server: 9 tools + 3 resources + auto-embed queries
├── ingest.py # File ingestion + converters: multi-format (.md/.txt/.ipynb/.toml/.csv/.json + optional .rst/.pdf), smart chunking, hashing
├── crawl.py # Web crawler: sitemap/BFS URL discovery, robots.txt, ETag caching, trafilatura HTML→markdown, rate-limited async fetching
├── parsers/ # Non-file ingest sources
│ ├── __init__.py # Package init
│ └── git_history.py # Git log → searchable markdown: parse commits, group by file, render, ingest via existing pipeline
├── watch.py # File watcher: mtime polling, debounce, auto-re-ingest + auto-embed on changes
├── schema.py # PostgreSQL DDL — tables, indexes, HNSW, hybrid search functions
├── embed.py # Embedding providers: openai/ollama/custom/local, batch backfill
├── local_embed.py # Local ONNX embedding engine — stdlib urllib model download, CPU inference
├── clients.py # MCP client registry: per-client config render, managed-block writes, `setup`/`doctor` wiring
├── blocking.py # Offloads CPU-bound local ONNX inference (embed + rerank) off the event loop: bounded semaphore, optional timeout
└── cli.py # argparse CLI: serve, init-db, ingest, prune, ingest-git, crawl, search, embed, stats, export, diff, check, setup, doctor, cleanup, fix-link-types, eval, savings, usage
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.
- 1mo ago Changed · +1 lines · +31 tokens per session d3578527b098
- 1mo ago Changed · +1 lines · +117 tokens per session ab455fb38f63
- 1mo ago Changed · +17 lines · +580 tokens per session cfa377ccc24c
- 1mo ago First seen · 156 lines · 3,017 tokens per session scan A 05231633b861
gnosis-mcp CLAUDE.md is an instructions file published in the GitHub repository nicholasglazer/gnosis-mcp (30 stars, last pushed 12d ago), licensed MIT. It adds 3,745 tokens to every session, about $0.0150 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 2026-08-30.
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).
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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 copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.