Server data from the Official MCP Registry
Live Uniswap V2/V3 LP analytics — position PnL, price scenarios, pool health, rug signals, slippage.
Live Uniswap V2/V3 LP analytics — position PnL, price scenarios, pool health, rug signals, slippage.
Remote endpoints: streamable-http: https://mcp.defimind.ai/mcp
Valid MCP server (2 strong, 2 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
5 tools verified · Open access · No issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-defimind-ai-defimind-mcp": {
"url": "https://mcp.defimind.ai/mcp"
}
}
}From the project's GitHub README.
DeFiMind's MCP server. Analyze live Uniswap V2/V3 pools — positions, price moves, pool health, rug signals, and slippage — from any MCP-compatible AI client. Reads real chain state via a caller-supplied RPC; the endpoint itself is authless.
Endpoint: https://mcp.defimind.ai/mcp (streamable-HTTP, authless).
Settings → Integrations → Add server.
URL: https://mcp.defimind.ai/mcp
claude mcp add --transport http defimind https://mcp.defimind.ai/mcp
Settings → MCP → Add new MCP server.
Name: defimind · Type: http · URL: https://mcp.defimind.ai/mcp
Listed at smithery.ai/servers/ic3moore/defimind — connect via the Smithery gateway from any supported client.
v0.1 ships 5 tools over Uniswap V2/V3, reading live pool state. Each
call takes pool_address, rpc_url, and pool_type
(uniswap_v2 | uniswap_v3), plus optional chain_id guard and
block_number pin — nothing is stored.
AnalyzePositionPnL decomposition for an LP position — impermanent loss, fees, and net.
"Analyze my position in the V3 USDC/ETH pool."
SimulatePriceMove"What if price moves X%?" — projected reserves, position value, and IL.
"If ETH drops 20%, what happens to my V3 ETH/DAI position?"
CheckPoolHealthTVL, reserves, LP concentration, and recent activity for a pool.
"Is this V3 pool healthy?"
DetectRugSignalsThreshold-based rug flags on a pool's on-chain state.
"Any rug signals on this V2 pair?"
CalculateSlippageSlippage, price impact, and max trade size for a given trade.
"How much slippage on a 50 ETH buy in this V3 pool?"
defimind-mcp reads live Uniswap V2/V3 pool state through a
caller-supplied RPC endpoint (BYO-RPC, passed per tool call). The
endpoint is authless — no API key, no account. Nothing is logged or
stored; each call pulls state, runs the analysis, and returns a typed
result.
The analytics are powered by open-source DeFiPy — the same primitives, twin, and tools that run against synthetic recipes, now pointed at real pools. The math is open; the reports are paid.
python -m venv .venv && source .venv/bin/activate
pip install -e ".[dev]"
Run the server over streamable HTTP (binds to $PORT, default 8080):
PORT=8080 python -m defimind_mcp.server # endpoint at http://localhost:8080/mcp
Or over stdio for a local MCP Inspector smoke-test:
python -m defimind_mcp.server --stdio
npx @modelcontextprotocol/inspector python -m defimind_mcp.server --stdio
Tests (offline — fake provider + real twin/primitives):
pytest tests/
Live-RPC gate (real mainnet V2 + V3 pools; needs your own RPC):
DEFIMIND_TEST_RPC_URL="https://eth-mainnet.example/v2/<key>" pytest tests/test_live.py -v
Apache-2.0. See LICENSE and NOTICE.
This project adapts code from DeFiPy (Apache-2.0).
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