Claude for Financial Services

Anthropic's official open-source skill bundle for financial services hit GitHub on May 5, 2026 and pulled 9.3k stars in under 48 hours. The repo at anthropics/financial-services ships under Apache 2.0 and is the canonical reference for every Wall Street team standing up Claude-powered workflows in 2026. What is in the box: 10 named agent templates, 7 vertical skill bundles and 11 MCP data connectors, plus install scripts for Microsoft 365 (Excel, PowerPoint, Word) and a Claude Managed Agents cookbook for IT to deploy at scale. Three deployment surfaces — Claude Cowork plugins for desk users, Claude Code plugins for engineering teams, and Managed Agents for centralized rollout. Same code, different distribution. The 10 named agents cover the work analysts actually grind on: Pitch Agent (builds branded pitchbooks from comps and precedents), Meeting Prep Agent (client briefing packs), Earnings Reviewer (earnings calls and model updates), Model Builder (DCF, LBO and three-statement models in Excel), Market Researcher (industry overviews and competitive landscape), Valuation Reviewer (GP packages to LP reporting), GL Reconciler (general-ledger break detection and root-cause traces), Month-End Closer (accruals, roll-forwards, variance commentary), Statement Auditor (LP statement audits) and KYC Screener (document parsing plus rules engine). The 7 vertical skill bundles let you install the right scope for the right desk: financial-analysis (the core bundle — comps, DCF, LBO, three-statement models, deck QC, and all 11 data connectors), investment-banking (CIMs, teasers, merger models), equity-research (earnings notes, initiations, thesis tracking), private-equity (sourcing, screening, IC memos), wealth-management (client reviews, rebalancing, tax-loss harvesting), fund-admin (GL recon, accruals, NAV tie-out) and operations (KYC parsing and rules evaluation). The 11 MCP data connectors are the part that matters for production. Daloopa, Morningstar, S&P Global, FactSet, Moody's, MT Newswires, Aiera, LSEG, PitchBook, Chronograph and Egnyte all ship as first-class integrations on day one. Most of those vendors announced same-day support; Moody's launched its own MCP app the same morning. Anthropic did not stand this up alone — the data providers wired in alongside the launch, which tells you Wall Street's data stack has converged on MCP as the integration spec. The disclaimer woven through every skill is Anthropic's clearest signal that the team read the regulatory landscape before shipping. None of these agents auto-trade, auto-onboard customers or close books unsupervised. The agents draft analyst work product for human review and sign-off only. That is the right design for a regulated category — and it lines up with the Nature Human Behaviour finding that human-AI combinations on decision-making tasks need explicit verification steps to avoid degrading accuracy. Pairing notes: the README points to Claude Opus 4.7 as the recommended model. Opus 4.7 leads the Vals AI Finance Agent benchmark at 64.37%, ahead of every other publicly evaluated model. If you are running Sonnet for cost reasons, the agents work but expect lower first-pass accuracy on the modeling and audit tasks. Honest critique: this is reference code, not turnkey software. Installation is straightforward (the marketplace command is claude plugin marketplace add anthropics/claude-for-financial-services), but customizing the prompts, wiring the data connectors to your firm's authentication, and producing audit-ready output that survives compliance review is non-trivial. Budget engineering time for the integration, not just the install. And remember the productivity research: stacking all 10 agents on top of an existing Bloomberg + Excel + FactSet workflow puts you well into the brain-fry zone. Where it fits on Skila: the productivity context for these agents is in our analysis of why more AI tools makes your team slower. For document retrieval that pairs cleanly with the Earnings Reviewer and Model Builder agents, see PageIndex and PageIndex MCP. For governance across the resulting agent fleet, see Microsoft Agent 365.