Framework Integrations

pip install langchain-mcp-adapters langchain

import asyncio

from langchain_mcp_adapters.client import MultiServerMCPClient


async def main() -> None:
    client = MultiServerMCPClient(
        {
            "limitguard": {
                "transport": "streamable_http",
                "url": "https://api.limitguard.ai/mcp",
                # Omit "headers" entirely to connect without a key -- tools/list
                # and verify_wallet still work; other tools return a
                # payment-required error until you attach one.
                "headers": {"Authorization": "Bearer lg_live_xxxxxxxxxxxxxxxxxxxx"},
            }
        }
    )

    tools = await client.get_tools()
    print([tool.name for tool in tools])

    # Bind the tools to a LangChain chat model and let it call check_entity,
    # get_risk_score, or verify_wallet like any other LangChain tool.


if __name__ == "__main__":
    asyncio.run(main())

pip install openai-agents

import asyncio

from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp


async def main() -> None:
    async with MCPServerStreamableHttp(
        name="LimitGuard",
        params={
            "url": "https://api.limitguard.ai/mcp",
            # Omit "headers" to connect without a key.
            "headers": {"Authorization": "Bearer lg_live_xxxxxxxxxxxxxxxxxxxx"},
        },
    ) as server:
        agent = Agent(
            name="Payments Assistant",
            instructions=(
                "Before approving any payment, call check_entity or "
                "verify_wallet on the counterparty. Block if the "
                "recommendation is 'block'."
            ),
            mcp_servers=[server],
        )

        result = await Runner.run(
            agent,
            "Should I pay an invoice from Acme Corp BV (NL, KVK 12345678)?",
        )
        print(result.final_output)


if __name__ == "__main__":
    asyncio.run(main())

pip install crewai crewai-tools

from crewai import Agent, Crew, Task
from crewai_tools import MCPServerAdapter

server_params = {
    "url": "https://api.limitguard.ai/mcp",
    "transport": "streamable-http",
    # Omit "headers" to connect without a key.
    "headers": {"Authorization": "Bearer lg_live_xxxxxxxxxxxxxxxxxxxx"},
}

with MCPServerAdapter(server_params) as limitguard_tools:
    print([tool.name for tool in limitguard_tools])

    payments_agent = Agent(
        role="Payments Reviewer",
        goal="Verify a counterparty's trust score before any payment is approved",
        backstory="Checks every new supplier against LimitGuard before sign-off.",
        tools=limitguard_tools,
    )

    review_task = Task(
        description=(
            "Check the trust score for Acme Corp BV (NL, KVK 12345678) and "
            "recommend whether to proceed with payment."
        ),
        expected_output="A proceed/review/block recommendation with the trust score.",
        agent=payments_agent,
    )

    crew = Crew(agents=[payments_agent], tasks=[review_task])
    result = crew.kickoff()
    print(result)