Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@lendwise Optimize $2,000 across top lending protocols for 3 months."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Unified view for lending markets. One standard.
MCP server for Lendwise — compare and optimize DeFi supply/borrow markets across Aave V3, Morpho and Compound V3 over live yield data.
It answers questions like "I have $1,000 to place in DeFi for the next 6 months — what are the best markets?" against real yield data, in about four tool calls.
Read-only. It compares markets; it never signs a transaction.
Point any MCP client at https://mcp.lendwise.fi/mcp — nothing to install. With Claude Code:
claude mcp add --transport http lendwise https://mcp.lendwise.fi/mcp// claude_desktop_config.json / .mcp.json
{
"mcpServers": {
"lendwise": {
"command": "npx",
"args": ["-y", "@lendwise/mcp"]
}
}
}No API key. The server holds no secrets — it speaks only HTTPS to the public Lendwise API.
Related MCP server: YieldOracle
tool | what it's for |
| Every asset, chain and protocol that actually exists, with counts. Call this first — it's what stops an agent guessing a filter value that isn't there. |
| Current supply markets ranked by net APY. Filtering and sorting happen server-side. Defaults to ≥ $1M TVL. |
| One market in full: protocol metadata, collaterals, APY split into base / rewards / fees. |
| Daily net-APY series plus mean / stddev / min / max — the stability signal a long horizon needs. |
| Split an amount across markets at a target diversification. Returns per-market amounts, blended APY, projected 6-month yield. |
find_best_markets defaults to minTvlUsd: 1_000_000. In a thin market a headline APY is mostly noise, and steering someone with $1k into one is the most plausible real-world harm this server can do. Lower it deliberately, not by accident.
get_market_history returns statistics, not just a seriesA snapshot cannot tell a durable 6% from a 12% that is a reward programme ending next week. A 180-day standard deviation can. That is the number a 6-month decision actually turns on.
env var | default | purpose |
|
| Point at |
| unset | Set to |
pnpm install
pnpm typecheck
pnpm test # unit tests, hermetic
LENDWISE_INTEGRATION=1 pnpm test # + live API tests
pnpm buildThe optimizer's contract is positional: we send apy: number[], it returns vault_index — an offset into the array we sent, not an id. If the array we build and the array we map back through ever disagree, the server confidently attributes a real allocation to the wrong market, and every number still looks plausible.
Order is therefore established exactly once, from the caller's productIds, and both directions run off that single array (buildApyVector → mapAllocations in src/core/optimizer.ts). It is pinned by unit tests in both directions. Do not "simplify" it into a lookup by APY value.
The upstream API allows 60 GraphQL req/min/IP and 10 optimizer req/min/IP. A 429 is surfaced as an explicitly retryable error carrying retryAfterSeconds — back off, don't retry-storm.
Informational only. APYs are variable and historical yields do not predict future returns.
MIT
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
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