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Dalil AI MCP Server for LangChainGive LangChain instant access to 6 tools to Create Contact, Get Contact Signals, List Campaigns, and more

Built by Vinkius GDPR 6 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Dalil AI through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this App Connector for LangChain

The Dalil AI app connector for LangChain is a standout in the Artificial Intelligence category — giving your AI agent 6 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "dalil-ai": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Dalil AI, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Dalil AI
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Dalil AI MCP Server

Connect your Dalil AI account to any AI agent to streamline your outbound sales and multichannel outreach through natural conversation. Dalil AI provides a powerful platform for discovering deep B2B intelligence, automating LinkedIn engagement, and tracking real-time buying signals across your lead pipeline.

LangChain's ecosystem of 500+ components combines seamlessly with Dalil AI through native MCP adapters. Connect 6 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

  • Contact Orchestration — List and create potential prospects programmatically, retrieving detailed professional backgrounds and contact metadata to coordinate outreach
  • LinkedIn Automation — Trigger the delivery of personalized messages and connection requests programmatically to maintain high-fidelity professional engagement
  • Company Discovery — Access and monitor your tracked organizations and retrieve detailed firmographic and industry intelligence directly through your agent
  • Signal Intelligence — Retrieve real-time buying signals for your contacts to prioritize high-intent opportunities and coordinate perfectly timed follow-ups
  • Campaign Monitoring — Access your complete directory of outreach campaigns and monitor sales performance metrics directly from your agent

The Dalil AI MCP Server exposes 6 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 6 Dalil AI tools available for LangChain

When LangChain connects to Dalil AI through Vinkius, your AI agent gets direct access to every tool listed below — spanning b2b-intelligence, outbound-sales, arabic-language, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_contact

Pass data as a JSON string. Create a new contact

get_contact_signals

Get buying signals for a contact

list_campaigns

List outreach campaigns

list_companies

List all tracked companies

list_contacts

List all Dalil contacts

send_linkedin_message

Pass data in JSON. Send a LinkedIn message via Dalil

Connect Dalil AI to LangChain via MCP

Follow these steps to wire Dalil AI into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 6 tools from Dalil AI via MCP

Why Use LangChain with the Dalil AI MCP Server

LangChain provides unique advantages when paired with Dalil AI through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine Dalil AI MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Dalil AI queries for multi-turn workflows

Dalil AI + LangChain Use Cases

Practical scenarios where LangChain combined with the Dalil AI MCP Server delivers measurable value.

01

RAG with live data: combine Dalil AI tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Dalil AI, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Dalil AI tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Dalil AI tool call, measure latency, and optimize your agent's performance

Example Prompts for Dalil AI in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Dalil AI immediately.

01

"List all my active contacts in Dalil AI."

02

"Send a LinkedIn message to contact '123' saying 'Hi Sarah, great launch!'."

03

"Show me the buying signals for 'Michael Ross'."

Troubleshooting Dalil AI MCP Server with LangChain

Common issues when connecting Dalil AI to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Dalil AI + LangChain FAQ

Common questions about integrating Dalil AI MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.