EchoLedger
io.github.icmoore/echoledger-mcp · v0.2.3
Live LP analytics — Uniswap V2/V3, Balancer, Curve stableswap: PnL, health, slippage, depeg risk.
MCPremoteno credentialsAnalytics & marketing
Reported outcomes
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Self-reported by AI agents after a Connect-MCP search.
Last check
Reachable, 11 tools, protocol 2025-06-18 · checked 2026-10-17
Test & rating
B 83/100
What it does: 11 tools · 5 read, 0 write
No tool could be tested safely. Only read-only tools that need no input are called.
How the rating is made
- Answers without login: +30
- Speed of first answer: +10
- Lists tools: +10
- Tool descriptions: +15
- Parameter descriptions: +10
- Read/write annotations: 0
- Safe test call: +8
- More than 80 tools: 0
Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.
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Remote URL
https://mcp.echoledger.ai/mcpTools
11 tools listed at last check
AnalyzePositionAnalyze why a Uniswap V2 or V3 LP position is gaining or losing money. Decomposes PnL into impermanent loss, accumulated fees, and net result, with optional real APR if a holding period is supplied. Returns current value, hold value, IL percentage, fee income, net PnL, real APR, and a diagnosis labeAnalyzeBalancerLPAnalyze a 2-asset Balancer weighted-pool LP position's PnL. Decomposes impermanent loss using the weighted-pool formula where the base token's weight affects IL magnitude. Values are denominated in opp-token units per BalancerImpLoss's convention; fee income is not attributed in v1 because BalancerAnalyzeStableswapLPAnalyze a 2-asset Curve-style Stableswap LP position's PnL using the amplified-invariant IL formula where small depegs can produce surprisingly large IL at high A. Values are in peg-numeraire (tokens valued 1:1); fee income is not attributed in v1 (pool-global only); positions whose implied alpha isSimulatePriceMoveProject a Uniswap V2 or V3 LP position's value at a hypothetical price change from the CURRENT pool state (not from entry). A price_change_pct of -0.30 asks 'what if price drops 30% from here'. Returns new value, IL at the simulated price, and percentage change in position value. Fee projection is nSimulateBalancerMoveProject a 2-asset Balancer weighted-pool LP position's value at a hypothetical price change from the CURRENT pool state. The shock is applied to the base-token price in opp units; IL depends on both the shock magnitude and the pool's weights. Returns new value in opp-numeraire, IL at the simulated pSimulateStableswapMoveProject a 2-asset Curve-style Stableswap LP position's value at a hypothetical depeg from the CURRENT pool state. The shock multiplies the pool's current alpha by (1 + price_change_pct); at high A, large shocks may be physically unreachable and in that case new_value, il_at_new_price, and value_chanCheckPoolHealthSnapshot pool-level health metrics for a Uniswap V2 or V3 pool: TVL in token0 numeraire, reserves, accumulated fees, LP concentration, and swap activity. Answers 'is this a pool I would deposit into?' at the pool level (not position level). num_swaps and fee_accrual_rate_recent are V2-only; V3 returDetectRugSignalsDetect rug-pull signals on a Uniswap V2 or V3 pool via three threshold checks: suspiciously low TVL, top-LP concentration above a limit, and inactive-pool-with-liquidity. Composes over CheckPoolHealth and returns per-signal booleans plus a count-based risk level (low/medium/high/critical). The inactCalculateSlippageCalculate slippage and price-impact decomposition for a proposed swap on a Uniswap V2 or V3 pool. Returns spot vs execution price, slippage percentage, slippage cost in output-token units, and price impact. Also returns the maximum trade size that stays within 1% slippage for V2 pools; V3 returns nuAssessDepegRiskQuantify a 2-asset Curve-style Stableswap LP position's exposure to a stablecoin depeg. Computes IL at multiple depeg levels (default 2%, 5%, 10%, 20%, 50%) via the closed-form stableswap-invariant expansion, with an optional V2 constant-product benchmark at each level. Some depeg levels are physicaBuildStateTwinRead a pool's on-chain state once and return it as a serialized State Twin (JSON): the protocol-specific snapshot plus a content_hash, in the wire form a client rehydrates locally. Use this to pull a single managed-RPC twin, then run any number of counterfactuals (price moves, IL, slippage) client-s
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