TheFork MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add TheFork as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to TheFork. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in TheFork?"
)
print(response)
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 TheFork MCP Server
Transform your AI agent into a personal concierge for dining with TheFork — Europe's leading restaurant reservation platform.
LlamaIndex agents combine TheFork tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the TheFork MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from TheFork
Why Use LlamaIndex with the TheFork MCP Server
LlamaIndex provides unique advantages when paired with TheFork through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine TheFork tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain TheFork tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query TheFork, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what TheFork tools were called, what data was returned, and how it influenced the final answer
TheFork + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the TheFork MCP Server delivers measurable value.
Hybrid search: combine TheFork real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query TheFork to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying TheFork for fresh data
Analytical workflows: chain TheFork queries with LlamaIndex's data connectors to build multi-source analytical reports
TheFork MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect TheFork to LlamaIndex via MCP:
cancel_reservation
This action is irreversible. Cancel a reservation
check_availability
Check restaurant availability
create_reservation
Create a restaurant reservation
get_reservation
Get reservation details
get_restaurant
Get restaurant details
get_restaurant_menus
Get restaurant menus
get_restaurant_reviews
Get restaurant reviews
list_cuisines
List available cuisine types
search_locations
Search for dining locations
search_restaurants
Returns a list of matching restaurants with ratings and availability. Search for restaurants
Example Prompts for TheFork in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with TheFork immediately.
"Find Italian restaurants near the Eiffel Tower with availability for 4 people tonight."
"Show me the reviews for restaurant ID 45892."
Troubleshooting TheFork MCP Server with LlamaIndex
Common issues when connecting TheFork to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpTheFork + LlamaIndex FAQ
Common questions about integrating TheFork MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect TheFork with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect TheFork to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.