savvly

MCP serverAI & models

Once savvly is added, your AI can look up Savvly fund data, model retirement projections, and compare Savvly against alternative retirement products. It is an integration for retirement research, so you can explore fund details and weigh your options through a normal conversation with your AI.

Use savvly in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add savvly and connect your AI. About a minute.

Also: Claude Code · Cursor · Codex

Then ask your AI: use savvly to get savvly product info

Details

Available today. Use it from your connected AI after setup.

Add savvly to your AI, then ask it about the fund, request a projection, or ask how Savvly compares to other retirement products.

What your AI can do with it

  • Look up Savvly fund data
  • Model retirement projections
  • Compare Savvly against alternative retirement products

Install savvly

The server’s own address, for the clients that take one directly. Or connect Ahel once and every client you use reads it from one address, with the account kept on Ahel rather than in each client’s config.

  • Claude Code

    claude mcp add --transport http --scope user savvly 'https://api.savvly.com/mcp'

    Run it once in your project, then open /mcp to approve any sign-in the server asks for.

  • Claude Desktop

    https://api.savvly.com/mcp

    Add a custom connector in Settings, paste this address, and approve the sign-in.

  • Cursor

    cursor://anysphere.cursor-deeplink/mcp/install?name=savvly&config=eyJ1cmwiOiJodHRwczovL2FwaS5zYXZ2bHkuY29tL21jcCJ9

    Open the link and Cursor adds the server at that address.

  • ChatGPT

    https://api.savvly.com/mcp

    In Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.

  • Codex

    codex mcp add savvly --url 'https://api.savvly.com/mcp'

    Run it once, then sign in with codex mcp login savvly if the server asks for an account.

From the project's README

As published by savvly/savvly-mcp in README.md.

Savvly MCP server — com.savvly/savvly

Savvly offers longevity-linked, SEC-registered investment products — built on the Savvly 80+ fund — that invests pooled contributions in a low-cost S&P 500 ETF and makes milestone cash payouts at ages 80, 85, 90, and 95, turning a longer life into a financial reward rather than a risk.

Savvly MCP lets financial advisors, planning tools, and AI agents query fund data, model projections, and compare against alternative retirement products directly, in real time, in any conversation, and without any manual lookup.

Listed on the MCP Registry as com.savvly/savvly and published to five package types plus a hosted remote — use whichever fits your client.

Install

ChannelCommand / config
Remote (hosted)https://api.savvly.com/mcp (streamable-http)
npmnpx @savvly/mcp-server
PyPIuvx savvly-mcp-server
NuGetdnx Savvly.McpServer (or dotnet tool install -g Savvly.McpServer)
Docker / OCIdocker run -i --rm ghcr.io/savvly/savvly-mcp-server
MCPBdownload the .mcpb from Releases and open it in an MCPB-capable host

Claude Desktop / Cursor / Windsurf (stdio)

{
  "mcpServers": {
    "savvly": { "command": "npx", "args": ["@savvly/mcp-server"] }
  }
}

Swap command/args for uvx savvly-mcp-server, dnx Savvly.McpServer, or docker run -i --rm ghcr.io/savvly/savvly-mcp-server as you prefer. Hosts that support remote MCP can point straight at https://api.savvly.com/mcp.

Tools

  • get_savvly_product_info — full product overview
  • compare_savvly_vs_alternative — Savvly vs annuities, target-date funds, etc.
  • check_savvly_eligibility — age / residency / channel eligibility
  • get_savvly_faq — FAQ by topic
  • search_savvly_content — audience-tagged Q&A library
  • project_savvly_lumpsum / project_savvly_monthly — payout projections (milestone ages)
  • project_retirement_with_savvly — full retirement trajectory with vs. without Savvly

Projection tools emit interactive MCP Apps chart widgets on hosts that support them.

Links

Privacy Policy

Savvly's privacy policy: https://www.savvly.com/privacy-policy

This MCP server is public and unauthenticated — it exposes Savvly product information, comparisons, eligibility, and illustrative projections, and requires no account or credentials. It collects no personal information and no end-user identifier (no client IP is captured; no user is identified).

The hosted endpoint (https://api.savvly.com/mcp) records anonymous usage analytics via AgentCat (formerly MCPcat), a third-party processor, to improve the tools — which tools are called and their non-identifying numeric scenario inputs (e.g. age, contribution amount). Email, phone, SSN, and payment-card patterns are redacted from any text before it is sent. The local npx @savvly/mcp-server (stdio) sends no analytics.

License

Apache-2.0.

Tools it offers (8)

What this server listed when Ahel dialed its public endpoint in Oct 2026, with no key and no account of yours. The names are the server’s own.

  • get_savvly_product_info
  • compare_savvly_vs_alternative
  • project_savvly_lumpsum
  • project_savvly_monthly
  • project_retirement_with_savvly
  • check_savvly_eligibility
  • get_savvly_faq
  • search_savvly_content

Signals

GitHub stars
2
Last commit
Sep 2026
Weekly downloads
20
Weekly_downloads
99 weekly_downloads
Advanced
Delivery
savvly MCP server → your Ahel connector (mcp.ahel.ai) → your AI.
Item type
mcp-server
Key
com-savvly-savvly
Source
github.com/savvly/savvly-mcp
Hosted endpoint
https://api.savvly.com/mcp