How to Use the ClickBid MCP in LlamaIndex
Index ClickBid auction items and bidder histories directly into your LlamaIndex vector store for semantic search.
Works with every AI agent you already use
…and any MCP-compatible client
Connect ClickBid MCP to LlamaIndex
Create your Vinkius account to connect ClickBid to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
RAG for Auction Data
LlamaIndex turns flat API responses into searchable knowledge. When you connect this MCP Server, your setup pulls down the full catalog via `list_clickbid_items` and embeds the descriptions. Users can then ask natural language questions about available lots. Finding specific items during a chaotic charity event usually requires digging through spreadsheets. Now, your application queries the vector index and returns grounded answers. The agent knows exactly what is up for grabs because it read the live data.
Index Bidder Histories
Event organizers need instant access to guest lists. Running `list_clickbid_bidders` feeds your index with every registered attendee. Your query engine can instantly cross-reference names with ticket types. Hallucinations ruin donor relations. By relying on `get_clickbid_bidder` as a registered tool, the agent fetches real-time contact details instead of guessing. You get accurate profiles backed by actual platform records.
Track Event Donations
Financial summaries require precise data aggregation. You configure LlamaIndex to run `list_clickbid_donations` periodically and update the document store. This creates a historical record that analysts can query later. Combining unstructured event notes with hard donation numbers gives you a complete picture of the night. The framework handles the embedding process automatically. Developers just pass the tool spec and let the engine do the heavy lifting.
Set up ClickBid MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports. - 3
Convert to LlamaIndex tools
Call
mcp_tool_spec.to_tool_list_async()to convert all ClickBid MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
# Connect to the MCP
mcp_client = BasicMCPClient(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)
# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()
# Create and run the agent
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt="You have access to ClickBid tools.",
)
response = await agent.run("List recent ClickBid data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ClickBid. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about ClickBid MCP in LlamaIndex
Use it with your favorite AI tools
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Start using the ClickBid MCP today
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