Agentrisk
Risk guardrails for AI trading agents.
Connector by trycoin-ai · GitHub account verified by the MCP Registry
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
Cite this page
Agentrisk MCP server. Agent Mart. https://agentmart.dev/connectors/trycoin-ai-agentrisk (last updated 2026-10-24)