INDIVIDUAL MCP TOOL

get_detector_manifest

Fetch the latest public MEV-detector run manifest: the detector version hash and the eligible pool/token universe it was committed to.

routescore.ionone authenticationAvailability not checked

Input schema

{}

Inferred read-only · medium confidence · heuristic, not a guarantee.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.routescore]
url = "https://www.routescore.io/api/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "routescore": {
      "type": "http",
      "url": "https://www.routescore.io/api/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: routescore
Remote MCP URL: https://www.routescore.io/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": {
    "routescore": {
      "url": "https://www.routescore.io/api/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "routescore": {
      "type": "http",
      "url": "https://www.routescore.io/api/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "routescore",
  "transport": "streamable-http",
  "url": "https://www.routescore.io/api/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

check_swap — CALL THIS BEFORE SIGNING AN ONCHAIN SWAP.
get_preflight_record — Retrieve the durable evidence record a prior check_swap call persisted — the "record" leg of plan → preflight → execute → record.
whoami — Confirm the configured API key works and report which plan tier it carries.
quote_mev_cover — Modeled premium estimate for MEV-sandwich exposure on a swap.
quote_bridge_refund — Modeled premium estimate for cross-chain bridge execution failure against a modeled SLA expectation.
quote_lrt_slashing — Modeled premium estimate for slashing risk on a liquid-restaking-token (LRT) position given its AVS exposure.
simulate_scenario — Run a what-if Monte Carlo: model expected premium vs expected refund/loss over a horizon, given assumptions about sandwich frequency, average loss, and deductible.