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Attio MCP Server for LlamaIndexGive LlamaIndex instant access to 14 tools to Check Attio Status, Create Note, Create Record, and more

Built by Vinkius GDPR 14 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Attio 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 Attio app connector for LlamaIndex is a standout in the Sales Automation category — giving your AI agent 14 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 Attio. "
            "You have 14 tools available."
        ),
    )

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

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

Connect your Attio account to any AI agent and take full control of your relationship management orchestration and automated CRM workflows through natural conversation.

LlamaIndex agents combine Attio tool responses with indexed documents for comprehensive, grounded answers. Connect 14 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

  • Object & Record Orchestration — List and manage your entire database of CRM objects (Companies, People) programmatically, retrieving detailed attribute metadata
  • Relationship Intelligence Architecture — Programmatically query and monitor customer interactions and connection signals to maintain a perfectly coordinated sales strategy
  • Workflow & View Monitoring — Access your complete directory of CRM views and pipelines to coordinate your organizational resource allocation in real-time
  • Metadata Management — Programmatically retrieve field identifiers and record history to maintain a perfectly coordinated audit trail
  • Operational Monitoring — Verify account-level API connectivity and monitor CRM activity volume directly through your agent for perfectly coordinated service scaling

The Attio MCP Server exposes 14 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 14 Attio tools available for LlamaIndex

When LlamaIndex connects to Attio through Vinkius, your AI agent gets direct access to every tool listed below — spanning crm, relationship-intelligence, data-modeling, 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.

check_attio_status

Verify Attio API connectivity

create_note

Useful for logging meeting notes, call summaries, or updates. Create a note on a record

create_record

Pass attribute values as JSON (e.g., {"name": [{"value": "Acme Corp"}]}). Create a new record

create_task

Create a new task

delete_record

This action is irreversible. Delete a record

get_list_entries

Get entries from a list

get_object

Get object schema

get_record

Get a specific record

list_lists

List all lists

list_notes

List notes on a record

list_objects

List all CRM objects

list_records

Use "companies" for companies, "people" for contacts, "deals" for deals. List records for any object

list_tasks

List all tasks

update_record

Only provided attributes are changed. Update an existing record

Connect Attio to LlamaIndex via MCP

Follow these steps to wire Attio 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 14 tools from Attio

Why Use LlamaIndex with the Attio MCP Server

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

01

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

02

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

03

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

04

Observability integrations show exactly what Attio tools were called, what data was returned, and how it influenced the final answer

Attio + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Attio MCP Server delivers measurable value.

01

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

02

Data enrichment: query Attio 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 Attio for fresh data

04

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

Example Prompts for Attio in LlamaIndex

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

01

"List all records in the 'Companies' object in my Attio account and show the last 5 entries."

02

"Show the recent updates for 'John Doe' in the 'People' object."

03

"Check for any active pipelines with zero updates this week."

Troubleshooting Attio MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Attio + LlamaIndex FAQ

Common questions about integrating Attio 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 Attio 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.