Notion 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 Notion 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 Notion. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Notion?"
)
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 Notion MCP Server
Unlock the full potential of your connected workspace by linking Notion to your AI agent. This integration transforms Notion from a static documentation hub into a dynamic, queryable engine for your AI workflows. Your agent can now perform global fuzzy searches to locate misplaced documents, query structured databases to extract tabular data, and even read deep into nested block hierarchies to summarize project specs or meeting notes. Whether you're automating task creation or retrieving team knowledge, your agent acts as an intelligent librarian for your entire Notion domain.
LlamaIndex agents combine Notion 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
- Global Search — Rapidly find pages and databases across your workspace by title or content using fuzzy text matching.
- Database Orchestration — Query databases to read structured data rows or fetch the exact schema defining your trackers.
- Deep Content Reading — Access metadata and dive into nested paragraphs, lists, and images using advanced block retrieval.
- Record Creation — Programmatically create new pages or insert data rows directly inside specific Notion containers.
- Identity Mapping — Enumerate all workspace users and bots to accurately map assignee tags to team members.
The Notion 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 Notion to LlamaIndex via MCP
Follow these steps to integrate the Notion 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 Notion
Why Use LlamaIndex with the Notion MCP Server
LlamaIndex provides unique advantages when paired with Notion through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Notion tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Notion tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Notion, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Notion tools were called, what data was returned, and how it influenced the final answer
Notion + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Notion MCP Server delivers measurable value.
Hybrid search: combine Notion real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Notion 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 Notion for fresh data
Analytical workflows: chain Notion queries with LlamaIndex's data connectors to build multi-source analytical reports
Notion MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Notion to LlamaIndex via MCP:
archive_page
Archive/Delete a Notion Page
create_page
Insert a new row/page inside a Database
get_blocks
Read hierarchical textual content under a Page
get_database
) defining rows within a Database. Retrieve the schema definition of a Database
get_page
Does NOT fetch body text. Retrieve metadata properties for a single Notion Page
list_users
Enumerate workspace members and bots
query_database
Read structured data rows from a Notion Database
search_databases
Essential for tracking down Database UUIDs. Fuzzy text search globally across Notion workspace Databases
search_pages
Necessary to locate Page UUIDs rapidly. Fuzzy text search globally across Notion workspace pages
update_page_title
Update the title of a Notion Page
Example Prompts for Notion in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Notion immediately.
"Search my Notion workspace for any pages containing 'Q4 Marketing Strategy'."
"Create a new row in my Project Tasks database marking the title as 'Update API Docs'."
"List all team members currently registered in my Notion."
Troubleshooting Notion MCP Server with LlamaIndex
Common issues when connecting Notion to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpNotion + LlamaIndex FAQ
Common questions about integrating Notion 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 Notion 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 Notion to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.