March 2026
v0.3.0 — Enriched tools, safety annotations, and security improvements
Enriched balance and spending tools:- get_balance now includes balance trend sparklines from recent snapshots and current APY rates for earnings accounts
- get_spending_summary now includes user-assigned category breakdown (23 categories) alongside type groups, and period-over-period comparison with delta percentage
- All 32 tools now include safety annotations (
readOnlyHint/destructiveHint) for Anthropic directory compliance - Read tools are marked as read-only; write tools are marked as non-destructive
- Added
Content-Security-Policy: frame-ancestors 'none'header to prevent clickjacking - Added
X-Frame-Options: DENYandX-Content-Type-Options: nosniffheaders - HSTS enabled in production with 1-year max-age
- Added
server.jsonmanifest for MCP Registry publishing - Added domain verification endpoint at
/.well-known/mcp-registry-auth
February 2026
MCP server launch
The Moneda MCP server is now available in public beta. Connect your AI assistant to manage your Moneda account with natural language. What’s included:- 32 tools — 21 read tools and 11 write tools for full account management
- 15 resources — automatic context for balances, transactions, rates, and more
- 21 OAuth scopes — granular permission control with 16 read and 5 write scopes
- 5 AI clients supported — Claude, ChatGPT, Gemini, Mistral AI, and Perplexity AI
- OAuth 2.0 with PKCE — secure authentication without sharing passwords
- Biometric payment approval — every payment requires confirmation in the Moneda app
- Check balances, transactions, and spending summaries
- Categorize and annotate transactions in bulk (up to 25 at once)
- Initiate payments to Moneda users, external wallets, and bank accounts
- Export transactions in tax-ready CSV format (Koinly, CoinTracker, TaxBit)
- Search FAQs and get help without leaving your AI client
- Manage contacts, external accounts, and profile settings
This is a beta release. We’re actively adding new tools and improving existing ones based on user feedback.
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