folk MCP Server for LangChainGive LangChain instant access to 6 tools to Create Contact, Get Contact Details, List Contact Notes, and more
LangChain is the leading Python framework for composable LLM applications. Connect folk 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 folk app connector for LangChain is a standout in the Productivity 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
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({
"folk": {
"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 folk, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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 folk MCP Server
Connect your folk CRM account to any AI agent and simplify how you manage your professional relationships, coordinate contact groups, and track interactions through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with folk 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 Oversight — List all contacts and retrieve detailed profile metadata, including custom fields and status.
- Group Management — Coordinate your contact lists by querying and managing specific groups in your folk workspace.
- Interaction Tracking — Retrieve a complete history of emails, meetings, and calls for any contact to maintain context.
- Relationship CRM — Create new contact records and update profile data programmatically via AI.
- Notes & Insights — List and query all notes and comments associated with your contacts to capture important details.
- Operational Visibility — Verify account configurations and monitor your professional ecosystem directly from the agent.
The folk 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 folk tools available for LangChain
When LangChain connects to folk through Vinkius, your AI agent gets direct access to every tool listed below — spanning contact-management, relationship-tracking, crm-automation, 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 a new contact
Get details for a specific contact
List notes for a contact
Optionally filter by group ID. List folk contacts
List folk groups
List interactions for a contact
Connect folk to LangChain via MCP
Follow these steps to wire folk into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the folk MCP Server
LangChain provides unique advantages when paired with folk through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine folk MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across folk queries for multi-turn workflows
folk + LangChain Use Cases
Practical scenarios where LangChain combined with the folk MCP Server delivers measurable value.
RAG with live data: combine folk tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query folk, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain folk tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every folk tool call, measure latency, and optimize your agent's performance
Example Prompts for folk in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with folk immediately.
"List all active contacts in my folk account."
"Show me the recent interactions for 'John Miller' (ID: 10293)."
"Add a new contact: 'Anna White' (anna@example.com)."
Troubleshooting folk MCP Server with LangChain
Common issues when connecting folk to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersfolk + LangChain FAQ
Common questions about integrating folk MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.