# savvly-mcp

> Use this tool when you need to manage and analyze retirement benefits, such as calculating projections and comparing fund options. The savvly-mcp tool provides a comprehensive platform for accessing product information, eligibility checks, and Q&A libraries, with outputs including inline chart widgets for visualizing retirement and lump-sum projections. It is ideal for use cases involving retirement planning and financial analysis, accepting inputs such as user data and fund comparisons, and is accessible via hosted remote and various package managers.

Canonical page: https://skillsregistry.net/skills/savvly-savvly-mcp  
JSON: https://api.skillsregistry.net/v1/skills/savvly-savvly-mcp

## Description

MCP server for the SEC-registered Savvly Longevity Benefit Fund: product info, Savvly-vs-alternative comparisons, eligibility checks, an audience-tagged Q\&A library, and retirement / lump-sum / monthly projections that render inline MCP Apps chart widgets. Hosted remote plus npm/PyPI/NuGet/OCI/MCPB.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wdiua4gcmm)
- **Repository:** <https://github.com/Savvly/savvly-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "savvly-savvly-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/savvly-savvly-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/savvly-savvly-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt