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Notion MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Append Block Children, Create Page, Get Me, and more

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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.

Ask AI about this App Connector for LlamaIndex

The Notion app connector for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
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 12 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Notion?"
    )
    print(response)

asyncio.run(main())
Notion
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About Notion MCP Server

Connect your Notion workspace to your AI agent. Search across databases, fetch page contents, update block properties, and create new knowledge entries directly from your chat without opening the Notion app.

LlamaIndex agents combine Notion tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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.

The Notion MCP Server exposes 12 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.

All 12 Notion tools available for LlamaIndex

When LlamaIndex connects to Notion through Vinkius, your AI agent gets direct access to every tool listed below — spanning workspace-management, database-query, page-editing, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

append_block_children

Append child blocks to an existing block or page

create_page

You must provide the parent object and properties (schema based on parent type). Create a new page in Notion

get_me

Get information about the current integration/bot

list_databases

List all databases available to the integration

list_users

List all users in the workspace

query_database

Query a specific Notion database with filters and sorts

retrieve_block_children

Retrieve child blocks of a specific block or page

retrieve_database

Retrieve metadata for a specific database

retrieve_page

Retrieve a specific Notion page by ID

retrieve_user

Retrieve a specific user by ID

search

Search for pages and databases by title

update_page

Update properties of an existing Notion page

Connect Notion to LlamaIndex via MCP

Follow these steps to wire Notion into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 12 tools from Notion

Why Use LlamaIndex with the Notion MCP Server

LlamaIndex provides unique advantages when paired with Notion through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine Notion tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Notion tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Notion, a vector store, and a SQL database in a single turn and synthesize results

04

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.

01

Hybrid search: combine Notion real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Notion to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Notion for fresh data

04

Analytical workflows: chain Notion queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Notion in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Notion immediately.

01

"Search my Notion workspace for 'Q3 Roadmap'."

02

"List all items in database 'DATABASE_ID' marked as 'In Progress'."

03

"Create a new note titled 'Meeting Notes' under page 'PAGE_ID'."

Troubleshooting Notion MCP Server with LlamaIndex

Common issues when connecting Notion to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Notion + LlamaIndex FAQ

Common questions about integrating Notion MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Notion tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.