claude mcp add profitspot-mcp -- npx -y profitspot-mcp
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
1 ★ · omniologynow-rgb/profitspot-mcp · read from the repository page · (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history
first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
Score
score 703 · 1 ★ · 7 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository omniologynow-rgb/profitspot-mcp;first catalogued 2026-10-09;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
Cross-chain DeFi intelligence for AI agents. Risk-scored yields, Monte Carlo simulations, whale tracking across 86 chains and 6,500+ pools. Quick Install • Examples • Tool Reference • Pricing • Self-Hosting --- What is this? ProfitSpot MCP gives any AI agent — Claude, GPT, Gemini, or your custom agent — instant access to the same DeFi intelligence that powers profitspot.live. Think of it as the **Bloomberg Terminal for AI agents**. Existing DeFi MCP servers are either basic DeFiLlama wrappers with 1 tool, or locked to a single chain. ProfitSpot MCP covers **86 chains**, **6,500+ pools**, and adds an **intelligence layer** — risk grades, Monte Carlo profit simulation, whale detection — that no competitor has. **No API key required to get started.** Free tier gives you yield discovery, market overview, and IL calculations immediately. --- 🚀 Quick Install Claude Desktop Add to your claude_desktop_config.json: macOS ~/Library/Application Support/Claude/claude_desktop_config.json Windows %APPDATA%\Claude\claude_desktop_config.json > **Free tier?** Just remove the "env" block entirely. No key needed. Cursor Add to .cursor/mcp.json in your project root: VS Code (Copilot) Add to your .vscode/mcp.json: pip (manual install) --- 💡 Example Tool Calls Real responses from live DeFiLlama data. Every response includes confidence (0–1) and data_freshness (ISO timestamp). 1. Discover Yields — Ethereum, grade B or better Full JSON Response (click to expand) **What you get:** 146 Ethereum pools matched from 16,642 scanned. Each pool comes risk-scored (A–F), with 30-day mean APY and APY prediction direction. Sorted by APY descending. --- 2. Risk Score — Deep breakdown for a Uniswap V3 pool Full JSON Response (click to expand) **What you get:** A composite **B grade (71/100)** with 6-factor breakdown. This pool scores perfectly on protocol reputation (Uniswap is Tier 1 Blue Chip, 48+ months) and security, but gets dinged on APY volatility (CV=1.04) and non-stablecoin pair risk. An AI agent can read this and explain *exactly why* a pool got its grade. --- 3. Impermanent Loss — ETH +50%, USDC −10% Full JSON Response (click to expand) **What you get:** Exact IL of **3.18% ($381)** on a $10K position. Your LP is worth $11,619 vs $12,000 if you just held. But here's the key insight — the net_with_fees table shows that even a modest 5% fee APY makes you net **+$2,119 (+21.2% ROI)**. The tool gives your AI agent the full picture to make an informed recommendation. --- 📖 Tool Reference All 7 tools available through the MCP protocol: discover_yields 🟢 Free > Find top yield opportunities across 86 chains. Filter, risk-score, and rank. | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | chain | string \| null | null | Filter by chain name (e.g., "Ethereum", "Arbitrum") | | min_tvl | float | 1000000 | Minimum TVL in USD | | min_apy | float | 0 | Minimum APY percentage | | max_risk | string | "F" | Maximum risk grade: A, B, C, D, or F *(Pro only)* | | limit | int | 20 | Max results to return (Free: 10, Pro: 50) | --- analyze_pool 🔒 Pro > Deep-dive analysis of a single pool: APY trends, risk breakdown, IL scenarios, projected returns. | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | pool_id | string | *required* | Pool UUID from discover_yields results | **Returns:** Historical APY (7d/30d/90d averages), trend direction, volatility stdev, full risk grade breakdown, IL estimate for 3 divergence scenarios, and projected returns for $1K/$10K/$100K at 30/90/365 days. --- calculate_impermanent_loss 🟢 Always Free > Pure math — exact IL for any 50/50 LP pair. No API call needed. | Parameter | Type | Default | Description |