Assembly MCP Server for LlamaIndexGive LlamaIndex instant access to 10 tools to Get Client, Get Company, Get Note, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Assembly 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 Assembly app connector for LlamaIndex is a standout in the Productivity category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Assembly. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Assembly?"
)
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 Assembly MCP Server
Assembly
The Assembly MCP Server allows AI agents to interact with your Assembly platform data seamlessly.
LlamaIndex agents combine Assembly 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
- Retrieve clients, companies, and users.
- Access workspaces and CRM details.
- Manage notes and internal data.
The Assembly 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.
All 10 Assembly tools available for LlamaIndex
When LlamaIndex connects to Assembly through Vinkius, your AI agent gets direct access to every tool listed below — spanning client-management, workspace-management, crm, 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.
Get details for a specific client
Get details for a specific company
Get a specific note
Get details for a specific user
Get a specific workspace
List all Assembly clients
List all Assembly companies
List Assembly notes
List all Assembly users
List all Assembly workspaces
Connect Assembly to LlamaIndex via MCP
Follow these steps to wire Assembly into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Assembly MCP Server
LlamaIndex provides unique advantages when paired with Assembly through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Assembly tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Assembly tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Assembly, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Assembly tools were called, what data was returned, and how it influenced the final answer
Assembly + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Assembly MCP Server delivers measurable value.
Hybrid search: combine Assembly real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Assembly 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 Assembly for fresh data
Analytical workflows: chain Assembly queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Assembly in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Assembly immediately.
"List all clients in Assembly."
"Get companies in my account."
"Show all workspaces and the latest notes created this month."
Troubleshooting Assembly MCP Server with LlamaIndex
Common issues when connecting Assembly to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAssembly + LlamaIndex FAQ
Common questions about integrating Assembly MCP Server with LlamaIndex.