Siteimprove MCP Server for LlamaIndex 9 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Siteimprove 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 Siteimprove. "
"You have 9 tools available."
),
)
response = await agent.run(
"What tools are available in Siteimprove?"
)
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 Siteimprove MCP Server
Connect your Siteimprove account to any AI agent to automatically pull website quality scores, accessibility issues, and SEO metrics into your workspace. Turn raw analytics into actionable insights without leaving your chat.
LlamaIndex agents combine Siteimprove tool responses with indexed documents for comprehensive, grounded answers. Connect 9 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
- Digital Certainty Index (DCI) — Get a high-level summary of a site's overall quality, accessibility, and SEO health
- Accessibility (A11y) — List specific technical accessibility barriers that are causing compliance drops
- Site Quality Assurance (QA) — Identify broken links, misspellings, and readability metrics across all crawled pages
- SEO Oversight — Retrieve technical SEO errors that are impacting your search engine rankings
- Fleet Management — List all monitored sites and browse individual crawled pages
The Siteimprove MCP Server exposes 9 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 Siteimprove to LlamaIndex via MCP
Follow these steps to integrate the Siteimprove 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 9 tools from Siteimprove
Why Use LlamaIndex with the Siteimprove MCP Server
LlamaIndex provides unique advantages when paired with Siteimprove through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Siteimprove tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Siteimprove tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Siteimprove, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Siteimprove tools were called, what data was returned, and how it influenced the final answer
Siteimprove + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Siteimprove MCP Server delivers measurable value.
Hybrid search: combine Siteimprove real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Siteimprove 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 Siteimprove for fresh data
Analytical workflows: chain Siteimprove queries with LlamaIndex's data connectors to build multi-source analytical reports
Siteimprove MCP Tools for LlamaIndex (9)
These 9 tools become available when you connect Siteimprove to LlamaIndex via MCP:
get_accessibility_summary
Retrieves the accessibility health overview for a site
get_qa_summary
Retrieves the Quality Assurance (QA) health overview for a site
get_seo_summary
Retrieves the SEO health overview for a site
get_site_details
Retrieves details for a specific site
get_site_summary
Retrieves the Digital Certainty Index (DCI) overview for a site
list_accessibility_issues
Lists specific accessibility issues discovered on a site
list_broken_links
Lists all broken links found on a specific site
list_crawled_pages
Lists all crawled pages for a specific site
list_sites
Lists all monitored websites in Siteimprove
Example Prompts for Siteimprove in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Siteimprove immediately.
"List all monitored sites in my Siteimprove account."
"Get the latest accessibility issues for site 1547844111."
"What is the DCI Summary score for my main domain?"
Troubleshooting Siteimprove MCP Server with LlamaIndex
Common issues when connecting Siteimprove to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpSiteimprove + LlamaIndex FAQ
Common questions about integrating Siteimprove 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 Siteimprove with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
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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 Siteimprove to LlamaIndex
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.