YieldSignal
Yield & risk for agents: signal, decision, durability, capacity, sensitivity, exposure, persistence
Should I use this
Quality & Safety
Findings (2)
- HIGH
- INFOin get_shared_exposure
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"yieldsignal": {
"url": "https://yieldsignal.vercel.app/mcp"
}
}
}Remote endpoints
https://yieldsignal.vercel.app/mcpstreamable-httpWhat it can do
Tool inventory
Tools (7)
🟢get_yield_signal(asset)
Real-time risk-weighted yield signal. USDC/WETH: lending APY on Base (Aave/Compound/Morpho read onchain, Moonwell/Euler/Fluid via DefiLlama). ETH_STAKING: liquid staking APY on Ethereum mainnet (Lido/Rocket Pool/Coinbase Wrapped Staked ETH/Frax Ether/Binance Staked ETH, all via DefiLlama) — a different chain and category from the lending signals, not a Base lending market. Source tagged per reading (never estimated). Result is signed (EIP-712 typed data) by the payment-receiving address, returned as a sibling content block for offline verification. That same address is registered on-chain as an ERC-8004 agent identity (agent-card.json) and periodically publishes EAS attestations of past readings (Base mainnet) — a public track record independent of this server's uptime.
Input Schema
{
"type": "object",
"properties": {
"asset": {
"type": "string",
"enum": [
"ETH_STAKING",
"USDC",
"WETH"
],
"description": "Which yield signal to fetch: USDC/WETH lending APY on Base, or ETH_STAKING liquid staking APY on Ethereum mainnet. Defaults to USDC."
}
},
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_yield_decision(asset, position, amountUsd, moveCostUsd, horizonDays)
Buyer-side MOVE/HOLD decision (Layer 1 premium — sells the decision, not the raw datapoint). Given your current position, size, move cost and horizon, returns whether moving your capital to the best risk-adjusted protocol pays for itself now — with expected net gain, break-even days and a confidence tier. Deterministic from the underlying signal, which is EIP-712 signed and returned in a sibling content block (re-run the decision locally to reproduce it). Priced above the plain signal tool.
Input Schema
{
"type": "object",
"properties": {
"asset": {
"type": "string",
"enum": [
"ETH_STAKING",
"USDC",
"WETH"
],
"description": "Which market the decision is for: USDC/WETH lending on Base, or ETH_STAKING liquid staking on Ethereum mainnet. Defaults to USDC."
},
"position": {
"type": "string",
"description": "Protocol where your capital sits now (aave/morpho/compound/moonwell/euler/fluid/lido/rocket-pool/coinbase-wrapped-staked-eth/frax-ether/binance-staked-eth). Omit or use 'idle' if uninvested."
},
"amountUsd": {
"type": "number",
"description": "Position size in USD. Scales the absolute gain and break-even. Defaults to 1000."
},
"moveCostUsd": {
"type": "number",
"description": "Your estimated cost to move (gas + slippage) in USD. Defaults to 0.5."
},
"horizonDays": {
"type": "number",
"description": "How many days you expect to hold before re-evaluating. Gain only counts up to here. Defaults to 30."
}
},
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟡get_yield_durability(asset)
How much of the current APY survives if incentives stop. Splits each protocol's yield into base interest vs reward/incentive, reports the post-incentive floor, and says whether the leader changes without incentives. Only protocols whose source itemizes the reward component are decomposed — the rest are listed as undecomposable and NEVER assumed incentive-free, and no ranking claim is made when the current leader is one of them. Also returns bestVerifiableFloor: the highest yield provably independent of incentives. A stress test of readings taken now, not a forecast of when a campaign ends.
Input Schema
{
"type": "object",
"properties": {
"asset": {
"type": "string",
"enum": [
"USDC",
"WETH"
],
"description": "Which Base lending market to stress-test: USDC or WETH. Defaults to USDC."
}
},
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_exit_capacity(asset, amountUsd)
Exit capacity for a Base lending market: per-protocol utilization and withdrawable liquidity read from the protocol's own books (Aave, Compound), plus — if you pass amountUsd — whether that size can be withdrawn right now and what share of the market it would be. High APY at high utilization means the market pays well and will not let you out; this tool separates the two. Protocols that do not expose borrowed-vs-supplied are marked unmeasured and are never recommended as executable. USDC only for USD figures; WETH returns utilization without USD (no price oracle in the paid path).
Input Schema
{
"type": "object",
"properties": {
"asset": {
"type": "string",
"enum": [
"USDC",
"WETH"
],
"description": "Which Base lending market to measure: USDC (full USD figures) or WETH (utilization only). Defaults to USDC."
},
"amountUsd": {
"type": "number",
"description": "Position size in USD to test for exit. Omit to get utilization and free liquidity without an exit verdict."
}
},
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_rate_sensitivity(asset)
How close a Base lending market is to the kink where borrow rates explode. Returns, per protocol, the current utilization, the kink read from the protocol's own interest rate curve, the headroom in bps, and the borrow APY at points around the kink — plus how many times the borrow cost multiplies just past it. Measured on a live reading: Compound USDC sat 0.17 points below its kink, where borrow cost goes from ~4% to ~16%. Aave and Compound only: Morpho's adaptive IRM has no static curve to read and DefiLlama-sourced protocols expose none, so they are marked unmeasured and never assumed stable. Describes the current state of the curve, not a prediction that utilization will move.
Input Schema
{
"type": "object",
"properties": {
"asset": {
"type": "string",
"enum": [
"USDC",
"WETH"
],
"description": "Which Base lending market to stress-test: USDC or WETH. Defaults to USDC."
}
},
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_shared_exposure(asset, positions)
Shared risk exposure across a declared portfolio. Give it your positions (protocol:usd pairs) and it returns, per factor, how much of your capital sits behind the same collateral, price oracle or vault curator — and through which venues it gets there. This is the question the market does not answer: depeg and hack alerts tell you an event happened, not whether you are two hops from it. In the Stream Finance collapse only 1 of ~320 MetaMorpho vaults held the broken asset directly, yet $93M of loss became $285M of contagion. Measured live: a Morpho USDC vault sits 93.7% behind cbBTC while Compound's USDC market is 43.1% — holding both is one risk in two wrappers. Morpho is attributed per isolated market and Compound by its real posted-collateral basket; Aave is reported unattributed, because a v3 supplier is exposed to the entire pool and splitting that across assets would imply diversification that does not exist. Structural shared exposure, not a correlation estimate.
Input Schema
{
"type": "object",
"properties": {
"asset": {
"type": "string",
"enum": [
"USDC",
"WETH"
],
"description": "Which Base lending market the positions are in: USDC or WETH. Defaults to USDC."
},
"positions": {
"type": "string",
"description": "Your positions as comma-separated protocol:usd pairs, e.g. \"aave:200000,morpho:150000\". Known protocols: aave, morpho, compound, moonwell, euler, fluid."
}
},
"required": [
"positions"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_leadership_persistence(asset)
How long this service's own leadership calls actually hold, measured from its hourly on-chain attestations (EAS on Base). Returns the median duration a protocol stayed the best pick, survival rates at 6/24/72h, how much of the rotation is the same two protocols trading places, and what chasing the leader is worth per $10k before gas. Measured over 24 days: the WETH leader never changed once, the ETH staking leader changed every ~26h, the USDC leader every ~2h with half the switches being a round trip between the same pair — three assets sold at one price with wildly different reliability. Also answers, empirically, whether a wider lead lasts longer: it does not (Spearman -0.04 over 177 completed spells), so gap size is not a usable proxy for confidence. Every input is a public attestation UID: recompute it yourself from base.easscan.org and get the same number. Observed history with sample sizes attached, never a forecast — assets whose lead has not changed in the window are reported as a floor with a censoring flag, never as a median.
Input Schema
{
"type": "object",
"properties": {
"asset": {
"type": "string",
"enum": [
"ETH_STAKING",
"USDC",
"WETH"
],
"description": "Which market's leadership durability to measure: USDC/WETH lending on Base, or ETH_STAKING liquid staking. Defaults to USDC."
}
},
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}Community
Evidence