Agentrisk
Risk guardrails for AI trading agents.
Connector by trycoin-ai · GitHub account verified by the MCP Registry
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Install
Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.
npx agentmarket install connector/trycoin-ai-agentrisk
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Reviews
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Permissions
What this server can do and what it asks for, from its tool list, install config and code. Checked Oct 25, 2026.
- Tools
- 2 read · 1 write · 0 delete
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Tools by what they do 3
Read from the source code; the running server may list different tools.
Read 2 · Look things up without changing anything.
analyze_portfolio_riskcheck_trade_risk
Write 1 · Create, change, send or run things.
generate_risk_policy
Network hosts it talks to 2
github.com· found in codenasdaqtrader.com· found in code
Files it touches
- Your home directory (~)
Tools (3)
Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].
analyze_portfolio_riskAnalyze a portfolio's risk and return a structured report (read-only). Use this to answer questions about *current* holdings: concentration, exposure to a sector/theme/asset class, and compliance with the user's policy. It does NOT evaluate a proposed trade (use check_trade_risk). Translating common questions into arguments: * "What's my biggest concentration risk?" -> no focus (read top_risks). * "Am I overexposed to AI stocks?" -> focus={"tag": "ai"}. * "How much crypto do I hold?" -> focus={"asset_class": "crypto"}. * "How much is in tech?" -> fo…
check_trade_riskValidate a PROPOSED trade against the portfolio and policy BEFORE executing. ALWAYS call this before placing an order, and gate execution on the result: * proceed == false -> do NOT execute; relay 'summary' to the user. * acknowledgements_required non-empty -> surface those warnings and get the user's OK before executing. * proceed == true and no acknowledgements -> you may execute; you may append 'summary' to the order confirmation shown to the user. trade: a proposal object: {"action": "buy", "symbol": "NVDA", "quantity": 15, "order_type": "market", "estimated_price": 1…
generate_risk_policyCreate, update, or show the user's risk policy. You translate the user's words into structured fields; this tool never parses free text. It also never silently relaxes a guardrail: updates return a diff first and only write when confirm=true. mode="create": start a new policy from a preset plus explicit fields. preset: "conservative" | "balanced" (default) | "aggressive". Example: "no single stock over 25%, warn on options, block leverage": fields={"limits": {"max_single_position_pct": 25}, "asset_rules": {"options": "warn", "margin": "block"}} Returned policy is a PROP…
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- Stars
- 2
- Forks
- 0
- Open issues
- 0
- Weekly downloads
- 56
- Last commit
- Sep 28, 2026 (1 month ago)
- Last release
- Sep 28, 2026 (1 month ago)
- Last package publish
- Sep 28, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026) and the package registry.
Details
- Registry name
io.github.trycoin-ai/agentrisk- Version
- 0.1.3
- Auth
- No auth
- Packages
- pypi agentrisk
- License
- MIT
- Repository
- github.com/trycoin-ai/agentrisk
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
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Cite this page
Agentrisk MCP server. Agent Mart. https://agentmart.dev/connectors/trycoin-ai-agentrisk (last updated 2026-10-24)