Nuclino MCP Server for LlamaIndex 12 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Nuclino 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 Nuclino. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Nuclino?"
)
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 Nuclino MCP Server
Connect your Nuclino account to your AI agent and seamlessly interact with your company's unified workspace for knowledge, docs, and projects.
LlamaIndex agents combine Nuclino 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.
What you can do
- Teams & Workspaces — Rapidly list all teams you are part of, and enumerate the nested workspaces and collections to understand your organization's hierarchy.
- Search & Query — Perform global fuzzy searches using
search_itemsto track down specific documents, notes, or project pages across the entire knowledge base. - Read Items & Files — Read the exact content configuration of any item (document) via
get_item, and list attachments or files uploaded to the platform. - Record Creation — Instantly create new items natively inside your workspace using natural language.
- Telemetrics — Enumerate members and structural fields within your Nuclino domain to keep the agent aware of context and owners.
The Nuclino 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.
How to Connect Nuclino to LlamaIndex via MCP
Follow these steps to integrate the Nuclino 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 12 tools from Nuclino
Why Use LlamaIndex with the Nuclino MCP Server
LlamaIndex provides unique advantages when paired with Nuclino through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Nuclino tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Nuclino tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Nuclino, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Nuclino tools were called, what data was returned, and how it influenced the final answer
Nuclino + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Nuclino MCP Server delivers measurable value.
Hybrid search: combine Nuclino real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Nuclino 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 Nuclino for fresh data
Analytical workflows: chain Nuclino queries with LlamaIndex's data connectors to build multi-source analytical reports
Nuclino MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect Nuclino to LlamaIndex via MCP:
create_item
Triggers real-time replication creating permanent Wiki documentation. Write a brand new knowledge Item / Page into a Workspace
delete_item
Always confirm with the user heavily before destroying knowledge. Irreversibly delete a structural Nuclino Item
get_item
Retrieve the exact Markdown payload and configuration of an Item
list_collections
Used to trace the document relationship graph paths visually within a target Workspace. List Collections (grouping directories) segmenting a Workspace
list_fields
Used to understand standard taxonomy dimensions applicable against Items. Map customizable structured property fields globally binding a Team
list_files
Exposes pure URL bindings mapping binary data records back to object storage. List physical attachments explicitly bolted onto an Item
list_items
Used to enumerate top-level document UUIDs, titles, and creation metadata natively spanning a specific Workspace layer. List all standard knowledge items (pages) in a Workspace
list_teams
Use this as the entry point to discover available root organizational unit IDs traversing down into workspaces. List all organizational Teams the authenticated user belongs to
list_users
Enumerate human identities attached globally onto a Team
list_workspaces
Returns internal workspace UUIDs essential for scoping later item queries. List all isolated Workspaces mapped within a specific Team
search_items
Use to uncover unknown UUIDs. Execute an indexed semantic search globally across a Team
update_item
Alters the sync tree immediately appending new wiki edits. Overwrite active partial Markdown states inside a listed Item
Example Prompts for Nuclino in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Nuclino immediately.
"Search Nuclino for any documentation mentioning 'SSO Security Policies'."
"Create an item titled 'Project X Architecture Brief' in the Engineering workspace."
"List all teams connected to this authentication token."
Troubleshooting Nuclino MCP Server with LlamaIndex
Common issues when connecting Nuclino to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpNuclino + LlamaIndex FAQ
Common questions about integrating Nuclino 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 Nuclino 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 Nuclino to LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.