AI & Machine Learning
floot.app
An MCP server that exposes Causara V2's frozen Shadow Mode economic-control engine to fetch control models, normalize business context, and evaluate proposed autonomous AI actions.
ENDPOINT 1
https://causara.floot.app/_api/mcp
MCP server metadata
- Name
- causara-economic-control
- Version
- 0.1.0
Causara is a Shadow Mode economic-control tool for proposed autonomous AI actions. It estimates downstream economic exposure and recommends ALLOW, REVIEW, ESCALATE, or BLOCK. It does not execute or block the proposed business action. Treat outputs as pilot-stage decision support, not audited financial forecasts.
Known tools 3
normalize_business_contextValidate and normalize a structured business-context CSV into Causara's canonical economic context.
Inferred read-onlyevaluate_agent_actionRun a proposed autonomous AI action through Causara's frozen Shadow Mode economic-control engine.
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.causara-economic-control]
url = "https://causara.floot.app/_api/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"causara-economic-control": {
"type": "http",
"url": "https://causara.floot.app/_api/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: causara-economic-control
Remote MCP URL: https://causara.floot.app/_api/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"causara-economic-control": {
"url": "https://causara.floot.app/_api/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"causara-economic-control": {
"type": "http",
"url": "https://causara.floot.app/_api/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "causara-economic-control",
"transport": "streamable-http",
"url": "https://causara.floot.app/_api/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
ENDPOINT 2
https://shadowgraph-live.floot.app/_api/mcp
MCP server metadata
- Name
- shadowgraph-machine-intelligence
- Version
- 2.3.1
ShadowGraph exposes pay-per-call market intelligence tools. Paid calls use MPP over the same Streamable HTTP endpoint.
Known tools 10
CONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.shadowgraph-machine-intelligence]
url = "https://shadowgraph-live.floot.app/_api/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"shadowgraph-machine-intelligence": {
"type": "http",
"url": "https://shadowgraph-live.floot.app/_api/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: shadowgraph-machine-intelligence
Remote MCP URL: https://shadowgraph-live.floot.app/_api/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"shadowgraph-machine-intelligence": {
"url": "https://shadowgraph-live.floot.app/_api/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"shadowgraph-machine-intelligence": {
"type": "http",
"url": "https://shadowgraph-live.floot.app/_api/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "shadowgraph-machine-intelligence",
"transport": "streamable-http",
"url": "https://shadowgraph-live.floot.app/_api/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
ENDPOINT 3
https://signallayer.floot.app/_api/mcp
MCP server metadata
- Name
- SignalLayer
- Version
- 2.1.1
Known tools 5
agent_preflightBefore paying, transferring to, or interacting with an unfamiliar machine resource, x402 endpoint, recipient, or Base address.
Inferred read-onlymarket_execution_intelBefore an exact-in ERC-20 swap on Base when current quote-derived execution conditions, network cost, and size sensitivity matter.
Inferred read-onlystructured_extractWhen requested facts exist on a public webpage but compact structured JSON is needed instead of browsing and parsing the page.
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.signallayer]
url = "https://signallayer.floot.app/_api/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"signallayer": {
"type": "http",
"url": "https://signallayer.floot.app/_api/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: signallayer
Remote MCP URL: https://signallayer.floot.app/_api/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"signallayer": {
"url": "https://signallayer.floot.app/_api/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"signallayer": {
"type": "http",
"url": "https://signallayer.floot.app/_api/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "signallayer",
"transport": "streamable-http",
"url": "https://signallayer.floot.app/_api/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Loading Trust v2 evidence…
Checking the associated registrable domain. The BuiltWith key remains server-side.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.