DF Market Intelligence MCP
An MCP server providing agent-ready market intelligence including SEC insider trades, Polymarket and Kalshi prediction market data, US macro indicators, and x402 agent economy metrics. It operates on a pay-per-call model using USDC on Base via the x402 protocol, requiring no API key or signup, only a dedicated wallet for payments.
Package and access
Local package with source-attributed installation metadata. Koskamo does not execute packages during review.
What you can do with it
- Retrieve latest SEC Form 4 insider trades and cluster buying signals
- Search prediction market probabilities for specific events on Polymarket and Kalshi
- Get snapshots of 24 key US macroeconomic indicators like CPI and unemployment
- Find paid APIs for tasks using x402 service rankings and search
Source and maintenance
- Maintenance checked
Packages and installation
Source-provided package data. Koskamo has not executed or live-probed this package.
df-market-intelligence-mcp 1.0.0
{
"version": "1.0.0",
"transport": "stdio",
"identifier": "df-market-intelligence-mcp",
"registryType": "npm",
"environmentVariables": [
{
"name": "DF_WALLET_PRIVATE_KEY",
"format": "string",
"description": "Private key of a dedicated wallet holding a little USDC on Base (pays per call via x402). Or use DF_WALLET_MNEMONIC."
},
{
"name": "DF_WALLET_MNEMONIC",
"format": "string",
"description": "Alternative to DF_WALLET_PRIVATE_KEY: the wallet's 12/24-word recovery phrase."
},
{
"name": "DF_SESSION_BUDGET",
"format": "string",
"default": "1.00",
"description": "Maximum USD to spend per session (default 1.00)."
},
{
"name": "DF_MAX_PRICE_PER_CALL",
"format": "string",
"default": "0.10",
"description": "Refuse any single call priced above this many USD (default 0.10)."
}
]
}Tools
Reported by the attributed source; not independently observed by Koskamo.
Connect from your client
Each snippet configures the same source-provided package; replace placeholders before use.
Cursor
{
"mcpServers": {
"df-market-intelligence-mcp": {
"command": "npx",
"args": [
"-y",
"df-market-intelligence-mcp@1.0.0"
],
"env": {
"DF_WALLET_PRIVATE_KEY": "<YOUR_DF_WALLET_PRIVATE_KEY>",
"DF_WALLET_MNEMONIC": "<YOUR_DF_WALLET_MNEMONIC>",
"DF_SESSION_BUDGET": "<YOUR_DF_SESSION_BUDGET>",
"DF_MAX_PRICE_PER_CALL": "<YOUR_DF_MAX_PRICE_PER_CALL>"
}
}
}
}Cline
{
"mcpServers": {
"df-market-intelligence-mcp": {
"command": "npx",
"args": [
"-y",
"df-market-intelligence-mcp@1.0.0"
],
"env": {
"DF_WALLET_PRIVATE_KEY": "<YOUR_DF_WALLET_PRIVATE_KEY>",
"DF_WALLET_MNEMONIC": "<YOUR_DF_WALLET_MNEMONIC>",
"DF_SESSION_BUDGET": "<YOUR_DF_SESSION_BUDGET>",
"DF_MAX_PRICE_PER_CALL": "<YOUR_DF_MAX_PRICE_PER_CALL>"
}
}
}
}VS Code
{
"servers": {
"df-market-intelligence-mcp": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"df-market-intelligence-mcp@1.0.0"
],
"env": {
"DF_WALLET_PRIVATE_KEY": "<YOUR_DF_WALLET_PRIVATE_KEY>",
"DF_WALLET_MNEMONIC": "<YOUR_DF_WALLET_MNEMONIC>",
"DF_SESSION_BUDGET": "<YOUR_DF_SESSION_BUDGET>",
"DF_MAX_PRICE_PER_CALL": "<YOUR_DF_MAX_PRICE_PER_CALL>"
}
}
}
}Claude Desktop
{
"mcpServers": {
"df-market-intelligence-mcp": {
"command": "npx",
"args": [
"-y",
"df-market-intelligence-mcp@1.0.0"
],
"env": {
"DF_WALLET_PRIVATE_KEY": "<YOUR_DF_WALLET_PRIVATE_KEY>",
"DF_WALLET_MNEMONIC": "<YOUR_DF_WALLET_MNEMONIC>",
"DF_SESSION_BUDGET": "<YOUR_DF_SESSION_BUDGET>",
"DF_MAX_PRICE_PER_CALL": "<YOUR_DF_MAX_PRICE_PER_CALL>"
}
}
}
}Let your agent find its tools
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