Connect AI Dealigence directly to your agent.

{
  "mcpServers": {
    "ai-dealigence": {
      "url": "https://aidealigence.com/mcp",
      "headers": {
        "Authorization": "Bearer dl_live_xxx"
      }
    }
  }
}

{
  "mcpServers": {
    "ai-dealigence": {
      "command": "npx",
      "args": [
        "-y", "mcp-remote",
        "https://aidealigence.com/mcp",
        "--header", "Authorization: Bearer dl_live_xxx"
      ]
    }
  }
}

{
  "mcpServers": {
    "ai-dealigence": {
      "command": "npx",
      "args": [
        "-y", "mcp-remote",
        "https://aidealigence.com/mcp",
        "--header", "Authorization: Bearer dl_live_xxx"
      ]
    }
  }
}

import time, requests
from langchain_core.tools import tool

API_KEY = "dl_live_xxx"
BASE = "https://aidealigence.com/api/v1"

@tool
def resolve_objective(objective: str) -> dict:
    """Resolve a business objective to verified decision-makers,
    with evidence. Real research - takes minutes, not seconds."""
    headers = {"Authorization": f"Bearer {API_KEY}"}
    created = requests.post(
        f"{BASE}/objectives", json={"objective": objective}, headers=headers
    ).json()
    while created["status"] == "researching":
        time.sleep(5)
        created = requests.get(
            f"{BASE}/objectives/{created['id']}", headers=headers
        ).json()
    return created

# LangGraph: add resolve_objective to your ToolNode / bind_tools() list
# exactly like any other tool - it's a plain @tool, nothing MCP-specific
# required.

import time, requests
from crewai.tools import tool

API_KEY = "dl_live_xxx"
BASE = "https://aidealigence.com/api/v1"

@tool("Resolve business objective")
def resolve_objective(objective: str) -> dict:
    """Resolve a business objective to verified decision-makers,
    with evidence. Real research - takes minutes, not seconds."""
    headers = {"Authorization": f"Bearer {API_KEY}"}
    created = requests.post(
        f"{BASE}/objectives", json={"objective": objective}, headers=headers
    ).json()
    while created["status"] == "researching":
        time.sleep(5)
        created = requests.get(
            f"{BASE}/objectives/{created['id']}", headers=headers
        ).json()
    return created

# Add resolve_objective to any Agent's tools=[...] list.