Doodle MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Doodle as an MCP tool provider through 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 Doodle. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Doodle?"
)
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 Doodle MCP Server
Connect your Doodle account to any AI agent and take full control of your group scheduling and meeting polls through natural conversation.
LlamaIndex agents combine Doodle tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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
- Poll Orchestration — List all Doodle polls and retrieve explicitly attached array vectors representing titles, states (OPEN/CLOSED), and final chosen options
- Live Poll Creation — Provision new group scheduling polls by commanding absolute explicit text payloads for specific dates and times
- Participant Auditing — Enumerate explicitly attached user responses active within any target poll to identify precisely who has voted
- Programmatic Voting — Trigger absolute response routing to add or remove participant votes, mapping literal preference arrays (Yes, No, If-need-be) exactly
- Collaboration Oversight — Retrieve and append string chats and contextual comments attached to specific poll IDs to verify participant feedback
- State Management — Change poll states to CLOSED to lock participation arrays and override core settings to dictate finally which exact option won
- Data Invalidation — Irreversibly vaporize explicit poll entities and wipe all associated votes and comments from the system permanently
The Doodle MCP Server exposes 10 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 Doodle to LlamaIndex via MCP
Follow these steps to integrate the Doodle 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 10 tools from Doodle
Why Use LlamaIndex with the Doodle MCP Server
LlamaIndex provides unique advantages when paired with Doodle through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Doodle tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Doodle tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Doodle, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Doodle tools were called, what data was returned, and how it influenced the final answer
Doodle + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Doodle MCP Server delivers measurable value.
Hybrid search: combine Doodle real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Doodle 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 Doodle for fresh data
Analytical workflows: chain Doodle queries with LlamaIndex's data connectors to build multi-source analytical reports
Doodle MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Doodle to LlamaIndex via MCP:
add_comment
Add a comment to a Doodle poll
add_participant
Provide a name and preference array (0=no, 1=yes, 2=if-need-be) matching option quantities. Add a participant vote to a Doodle poll programmatically
close_poll
Overrides the core settings dictating finally which exact option value string won. Close a Doodle poll and set the final chosen option
create_poll
Participants will be invited to vote on their preferred options. Create a new Doodle poll for group scheduling
delete_poll
Drops the raw data out of the system returning completely blank state. Permanently delete a Doodle poll and all associated participant votes and comments
get_comments
Retrieve all comments on a Doodle poll
get_poll
Retrieve detailed information for a specific Doodle poll by ID
list_participants
List all participants who voted on a Doodle poll
list_polls
Returns poll titles, states (OPEN/CLOSED), creation dates, number of participants, and chosen final options. List all Doodle polls created by the authenticated user
remove_participant
The core system inherently recalculates the total votes autonomously. Remove a participant and their votes from a Doodle poll
Example Prompts for Doodle in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Doodle immediately.
"List my Doodle polls"
"Create a poll 'Launch Sync' with options: 'Monday 10am', 'Tuesday 2pm'"
"Who has voted on the 'Team Offsite' poll?"
Troubleshooting Doodle MCP Server with LlamaIndex
Common issues when connecting Doodle to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpDoodle + LlamaIndex FAQ
Common questions about integrating Doodle 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 Doodle 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 Doodle to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.