Savvly MCP server
Which servers in the official MCP registry are Savvly's own, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.
read 2026-10-17
- Registry namecom.savvly/savvlyverified in the MCP registry
The registry name sits under savvly.com. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.
- Stateanswerschecked 2026-10-17
- Tools8
- Server calls itselfsavvly
- Server version1.0.97
- Protocol version2025-06-18
On 2026-10-17 the server answered initialize and tools/list without a sign-in. First answer in 223 ms.
- Whether its tools do the product's job has not been judged yet.
- Checked on 3 of the 7 days it takes to judge reliability.
Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.
- INITE MCP scoreafter a weeka score needs 7 daily checks: 3 so far
- Use568 PyPI downloads a week3 GitHub stars
- Answeredmeasuring3 of the 7 daily checks it takes to print a share
- Median first answer233 ms
- Space in an agent's context≈ 5,070 tokensthe definitions of all its tools (8), which an agent carries on every turn
- Tool definitionsA · 100 of 100
- Typed results8 of 8 toolsdeclared outputSchema: results come typed, read once
- Every tool passes all six checks.
Worth a look
None of the five warning signs in these definitions.
A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (30%), doing the product's job (25%), definitions (20%), context (10%) and use (15%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →
get_savvly_product_infoGet complete product information about Savvly, an SEC-registered security offering longevity protection — use it whenever the user asks what Savvly is, how it works, its expenses, eligibility, or payouts, or wants an overview. Pass…
compare_savvly_vs_alternativeGet a structured comparison between Savvly and another retirement product type — use it whenever the user compares Savvly to annuities, target-date funds, managed-payout funds, or any alternative, or asks how Savvly stacks up. It renders…
project_savvly_lumpsumRetirement projection for a lump-sum investment in the Savvly Longevity Benefit. Returns payout amounts at each milestone age (80, 85, 90, 95) with Savvly vs market alone cumulative totals, per-age breakdowns, and server-provided…
project_savvly_monthlyRetirement projection for monthly contributions to the Savvly Longevity Benefit over a number of years. Returns payout amounts at milestone ages 80/85/90/95 with Savvly vs market alone cumulative totals, per-age breakdowns, and…
project_retirement_with_savvlyFull retirement simulation showing the projected savings trajectory WITH and WITHOUT a Savvly allocation across the planning horizon (current_age → life_expectancy). Requires current_age ≤ retirement_age ≤ life_expectancy. Returns…
check_savvly_eligibilityCheck if a person is eligible to invest in the Savvly Longevity Benefit. Eligibility is based on age (no minimum; maximum enrollment age 75), US residency, and distribution channel (individual, employer-sponsored, advisor-placed). Use…
get_savvly_faqGet answers to frequently asked questions about Savvly. Use when the user has specific questions about how Savvly works, expenses, withdrawals, or regulatory status. It is a convenience view of `search_savvly_content` scoped to the…
search_savvly_contentSearch the Savvly Q&A Content Library — audience-tagged questions and answers compiled from Savvly's marketing collateral plus the factual FAQ, organized by stakeholder (employee, advisor, broker, employer, universal, general) and section…
How to connect
Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:
{
"mcpServers": {
"savvly": {
"type": "http",
"url": "https://api.savvly.com/mcp"
}
}
}Add it
Claude Code, in a terminal
claude mcp add --transport http savvly https://api.savvly.com/mcpclaude.ai, ChatGPT and other clients: add https://api.savvly.com/mcp as a custom connector in the settings.
Also shipped through: mcpb, npm, nuget, oci, pypi
OpenAPI spec
12 paths, read 2026-10-17. Open the spec ↗
Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.