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/thefractalyst/quantconnectmcp/agents-mdgit clone --depth 1 https://github.com/TheFractalyst/QuantConnectMCPWhat 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 | $0.00437 | $0.00437 |
| Opus 5 | $0.00218 | $0.00218 |
| Sonnet 5 | $0.00087 | $0.00087 |
| Haiku 4.5 | $0.00044 | $0.00044 |
Grade A, and why
QuantConnectMCP 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 yesterday.
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.
What it actually says
QuantConnectMCP - Agent Instructions
Overview
QuantConnect/Lean Complete Reference MCP server with 1265 entries covering 100% of the official documentation sitemap.
Commands
Setup
python -m venv .venv
source .venv/bin/activate
pip install -e ".[dev]"
Index database
qc-lean-mcp build
Run server
qc-lean-mcp # stdio (default)
TRANSPORT=sse PORT=8080 qc-lean-mcp # HTTP/SSE
Lint
ruff check . --line-length 120
Test
pytest tests/ -v
Architecture
- FastMCP 3.4 with FileSystemProvider for auto-discovery
- ChromaDB vector store (cosine, all-MiniLM-L6-v2, 384-dim)
- 3 composable lifespans: db | model | cache
- Circuit breaker on compiler and ChromaDB
- Hot cache for fast lookups
- Response capping at 80KB
- Error masking (no internal details leaked)
Tools (6)
+--------------+-----------+------------------------------------------+
| Tool | Type | Description |
+--------------+-----------+------------------------------------------+
| qc_lookup | read-only | Exact name lookup with fuzzy fallback |
| qc_search | read-only | Semantic search across all entries |
| qc_browse | read-only | List namespace members |
| qc_validate | read-write| Validate Python Lean algorithm syntax |
| qc_repair | read-write| Fix common code issues |
| qc_scaffold | read-write| Generate algorithm template |
+--------------+-----------+------------------------------------------+
Coverage
- 100% official sitemap coverage (1257/1257 docs URLs)
- 1265 entries in ChromaDB
- 20 namespaces (cloud, indicators, writing-algorithms, cli, etc.)
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.
- yesterday First seen · 66 lines · 437 tokens per session scan A 0ffefae1ec4f
QuantConnectMCP AGENTS.md is an instructions file published in the GitHub repository TheFractalyst/QuantConnectMCP (2 stars, last pushed 1mo ago), licensed MIT. It adds 437 tokens to every session, about $0.0022 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
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.
buildNext
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
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, applying the notice (cutover) and fallback chain (never fail the build).
spec-kit 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.
langchain 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.