Ask Kodiak MCP Server for LlamaIndex 7 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Ask Kodiak 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 Ask Kodiak. "
"You have 7 tools available."
),
)
response = await agent.run(
"What tools are available in Ask Kodiak?"
)
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 Ask Kodiak MCP Server
The Ask Kodiak MCP Server brings deep commercial insurance intelligence directly to your AI agent. Effortlessly search for insurance products, monitor carrier appetite, and manage industry classifications (NAICS) using simple natural language.
LlamaIndex agents combine Ask Kodiak 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.
Key Features
- Product Intelligence — Search across thousands of commercial insurance products based on eligibility, state, and classification.
- Carrier Oversight — Access detailed information about insurance companies and their product portfolios.
- Appetite Matching — Quickly identify which carriers have an appetite for specific risks or industries.
- Classification Tools — Get NAICS code suggestions and search for industry classifications to ensure accurate risk assessment.
- Real-time Data — Interface with the Ask Kodiak platform to get the most up-to-date insurance information.
- Secure API Access — Uses industry-standard HTTP Basic Authentication with your Group ID and API Key.
The Ask Kodiak 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.
How to Connect Ask Kodiak to LlamaIndex via MCP
Follow these steps to integrate the Ask Kodiak 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 7 tools from Ask Kodiak
Why Use LlamaIndex with the Ask Kodiak MCP Server
LlamaIndex provides unique advantages when paired with Ask Kodiak through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Ask Kodiak tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Ask Kodiak tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Ask Kodiak, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Ask Kodiak tools were called, what data was returned, and how it influenced the final answer
Ask Kodiak + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Ask Kodiak MCP Server delivers measurable value.
Hybrid search: combine Ask Kodiak real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Ask Kodiak 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 Ask Kodiak for fresh data
Analytical workflows: chain Ask Kodiak queries with LlamaIndex's data connectors to build multi-source analytical reports
Ask Kodiak MCP Tools for LlamaIndex (7)
These 7 tools become available when you connect Ask Kodiak to LlamaIndex via MCP:
get_account_check
Verify Ask Kodiak account connection
get_company_products
List all products offered by a specific company
get_product
Get full appetite and details for an insurance product
list_classifications
Search for industry classifications
list_companies
List insurance carriers and companies
list_products
Search for commercial insurance products
suggest_naics
Get NAICS code suggestions based on a query
Example Prompts for Ask Kodiak in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Ask Kodiak immediately.
"List insurance products for NAICS code '541511' in New York."
"Suggest NAICS codes for a 'Software Development' business."
"Show me all products offered by carrier 'The Hartford'."
Troubleshooting Ask Kodiak MCP Server with LlamaIndex
Common issues when connecting Ask Kodiak to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAsk Kodiak + LlamaIndex FAQ
Common questions about integrating Ask Kodiak 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 Ask Kodiak with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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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 Ask Kodiak to LlamaIndex
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.