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TheFork MCP Server for LangChain 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

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

Vinkius supports streamable HTTP and SSE.

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({
        "thefork": {
            "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 TheFork, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
TheFork
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 TheFork MCP Server

Transform your AI agent into a personal concierge for dining with TheFork — Europe's leading restaurant reservation platform.

LangChain's ecosystem of 500+ components combines seamlessly with TheFork through native MCP adapters. Connect 10 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

  • Restaurant Search — Find restaurants by location, cuisine type, or keyword with comprehensive rating data
  • Availability Check — Query real-time table availability for specific dates and party sizes
  • Reviews & Ratings — Access authentic guest reviews to make informed dining decisions
  • Menu Discovery — Browse restaurant menus and special offers before booking
  • Reservation Management — Book tables, check reservation status, and cancel bookings directly
  • Location & Cuisine Browsing — Explore dining destinations and cuisine categories across the network

The TheFork MCP Server exposes 10 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.

How to Connect TheFork to LangChain via MCP

Follow these steps to integrate the TheFork MCP Server with LangChain.

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 10 tools from TheFork via MCP

Why Use LangChain with the TheFork MCP Server

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

01

The largest ecosystem of integrations, chains, and agents. combine TheFork 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 TheFork queries for multi-turn workflows

TheFork + LangChain Use Cases

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

01

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

02

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

03

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

04

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

TheFork MCP Tools for LangChain (10)

These 10 tools become available when you connect TheFork to LangChain via MCP:

01

cancel_reservation

This action is irreversible. Cancel a reservation

02

check_availability

Check restaurant availability

03

create_reservation

Create a restaurant reservation

04

get_reservation

Get reservation details

05

get_restaurant

Get restaurant details

06

get_restaurant_menus

Get restaurant menus

07

get_restaurant_reviews

Get restaurant reviews

08

list_cuisines

List available cuisine types

09

search_locations

Search for dining locations

10

search_restaurants

Returns a list of matching restaurants with ratings and availability. Search for restaurants

Example Prompts for TheFork in LangChain

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

01

"Find Italian restaurants near the Eiffel Tower with availability for 4 people tonight."

02

"Show me the reviews for restaurant ID 45892."

Troubleshooting TheFork MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

TheFork + LangChain FAQ

Common questions about integrating TheFork 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.

Connect TheFork to LangChain

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.