Geekflare MCP Server for LlamaIndexGive LlamaIndex instant access to 7 tools to Check Broken Links, Get Dns Records, Get Whois Data, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Geekflare 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 App Connector for LlamaIndex
The Geekflare app connector for LlamaIndex is a standout in the Developer Tools category — giving your AI agent 7 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Geekflare. "
"You have 7 tools available."
),
)
response = await agent.run(
"What tools are available in Geekflare?"
)
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 Geekflare MCP Server
Connect your Geekflare account to any AI agent and simplify how you monitor website performance, secure your domains, and analyze SEO health through natural conversation.
LlamaIndex agents combine Geekflare tool responses with indexed documents for comprehensive, grounded answers. Connect 7 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
- Audit & SEO — Run full Google Lighthouse audits to measure speed, accessibility, and search engine optimization.
- Performance Testing — Measure server response times (TTFB) and overall page load speed to identify bottlenecks.
- Security Scanning — Analyze SSL/TLS certificates for validity and security vulnerabilities in real-time.
- Network Intelligence — Retrieve DNS records (A, MX, CNAME, TXT) and Whois registration data for any domain.
- Link Oversight — Automatically identify broken links (404s) on any page to improve user experience.
- Visual Monitoring — Capture full-page screenshots of target URLs programmatically via AI.
- Operational Visibility — Verify API health and monitor your digital infrastructure directly from the agent.
The Geekflare MCP Server exposes 7 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.
All 7 Geekflare tools available for LlamaIndex
When LlamaIndex connects to Geekflare through Vinkius, your AI agent gets direct access to every tool listed below — spanning website-auditing, performance-testing, security-scanning, 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.
Identify broken links on a page
Retrieve DNS records
Retrieve Whois information
Measure page speed and TTFB
Run Lighthouse SEO/Performance audit
Scan SSL/TLS certificate
Capture a website screenshot
Connect Geekflare to LlamaIndex via MCP
Follow these steps to wire Geekflare into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Geekflare MCP Server
LlamaIndex provides unique advantages when paired with Geekflare through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Geekflare tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Geekflare tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Geekflare, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Geekflare tools were called, what data was returned, and how it influenced the final answer
Geekflare + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Geekflare MCP Server delivers measurable value.
Hybrid search: combine Geekflare real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Geekflare 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 Geekflare for fresh data
Analytical workflows: chain Geekflare queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Geekflare in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Geekflare immediately.
"Run a Lighthouse audit for 'https://google.com'."
"Check for broken links on 'https://example.com/blog'."
"What are the MX and A records for 'apple.com'?"
Troubleshooting Geekflare MCP Server with LlamaIndex
Common issues when connecting Geekflare to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpGeekflare + LlamaIndex FAQ
Common questions about integrating Geekflare MCP Server with LlamaIndex.