Firecrawl MCP Server for LlamaIndex 4 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Firecrawl as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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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 Firecrawl. "
"You have 4 tools available."
),
)
response = await agent.run(
"What tools are available in Firecrawl?"
)
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 Firecrawl MCP Server
Connect your AI agent to Firecrawl — the most popular web scraping API built specifically for AI and LLM applications.
LlamaIndex agents combine Firecrawl tool responses with indexed documents for comprehensive, grounded answers. Connect 4 tools through the 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
- Scrape Pages — Extract clean Markdown from any URL. Firecrawl handles JavaScript rendering, anti-bot protection, cookie banners, and dynamic content automatically
- Search the Web — Search and scrape in one call. Get Google-like search results with full page content already extracted
- Crawl Websites — Recursively crawl entire sites, following internal links. Perfect for indexing documentation, blogs, or product catalogs
- Map Sites — Discover all URLs on a domain without scraping content. Understand site structure before deciding what to extract
The Firecrawl MCP Server exposes 4 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 Firecrawl to LlamaIndex via MCP
Follow these steps to integrate the Firecrawl 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 4 tools from Firecrawl
Why Use LlamaIndex with the Firecrawl MCP Server
LlamaIndex provides unique advantages when paired with Firecrawl through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Firecrawl tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Firecrawl tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Firecrawl, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Firecrawl tools were called, what data was returned, and how it influenced the final answer
Firecrawl + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Firecrawl MCP Server delivers measurable value.
Hybrid search: combine Firecrawl real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Firecrawl 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 Firecrawl for fresh data
Analytical workflows: chain Firecrawl queries with LlamaIndex's data connectors to build multi-source analytical reports
Firecrawl MCP Tools for LlamaIndex (4)
These 4 tools become available when you connect Firecrawl to LlamaIndex via MCP:
crawl_site
Each page is scraped and converted to Markdown. Returns a job ID to track progress. Crawl an entire website and extract content from multiple pages. Returns a job ID for async tracking
map_site
Useful for understanding site architecture before deciding which pages to scrape. Discover all URLs on a website without scraping content. Returns a sitemap of discovered links
scrape_page
Handles anti-bot protection, cookie banners, and dynamic content automatically. Scrape a single web page and extract its content as clean Markdown. Perfect for reading articles, documentation, and product pages
search_web
Ideal for research, fact-checking, and gathering information on any topic. Search the web and return scraped content from the top results. Combines Google-like search with automatic content extraction
Example Prompts for Firecrawl in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Firecrawl immediately.
"Scrape the main page of docs.firecrawl.dev and give me a summary of what Firecrawl offers."
"Search the web for 'best practices for RAG pipelines 2026' and return the top 3 results with content."
"Map all pages on example.com to see the site structure."
Troubleshooting Firecrawl MCP Server with LlamaIndex
Common issues when connecting Firecrawl to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpFirecrawl + LlamaIndex FAQ
Common questions about integrating Firecrawl 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 Firecrawl 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 Firecrawl to LlamaIndex
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.