Affinity MCP Server for LlamaIndex 5 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Affinity 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 Affinity. "
"You have 5 tools available."
),
)
response = await agent.run(
"What tools are available in Affinity?"
)
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 Affinity MCP Server
Connect your Affinity account to your AI agent to unlock professional relationship intelligence and CRM orchestration. From auditing your smart lists to monitoring recent email and meeting interactions and managing your contact pipeline, your agent handles your deal flow through natural conversation.
LlamaIndex agents combine Affinity tool responses with indexed documents for comprehensive, grounded answers. Connect 5 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
- Smart List Management — List and retrieve entries for your custom smart lists, including statuses and field values
- Relationship Intelligence — Access relationship strength scores and identify 'warm' introduction paths within your network
- Contact Oversight — List and manage people and organizations, ensuring your B2B intelligence is always up-to-date
- Interaction Auditing — Retrieve logs of recent emails, meetings, and calls automatically synced from team accounts
- Pipeline Insights — Quickly identify active opportunities and track deal progress directly from your chat interface
The Affinity MCP Server exposes 5 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 Affinity to LlamaIndex via MCP
Follow these steps to integrate the Affinity 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 5 tools from Affinity
Why Use LlamaIndex with the Affinity MCP Server
LlamaIndex provides unique advantages when paired with Affinity through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Affinity tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Affinity tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Affinity, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Affinity tools were called, what data was returned, and how it influenced the final answer
Affinity + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Affinity MCP Server delivers measurable value.
Hybrid search: combine Affinity real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Affinity 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 Affinity for fresh data
Analytical workflows: chain Affinity queries with LlamaIndex's data connectors to build multi-source analytical reports
Affinity MCP Tools for LlamaIndex (5)
These 5 tools become available when you connect Affinity to LlamaIndex via MCP:
list_interactions
Retrieve recent chronological logs of synced emails, meetings, and calls across your team
list_list_entries
Retrieve the people or organizations associated with a specific Affinity smart list ID
list_organizations
Retrieve companies and institutions mapped within your Affinity CRM
list_persons
Retrieve a paginated list of people your team has interacted with in your Affinity network
list_smart_lists
Retrieve the catalog of custom smart lists (pipelines) securely configured in your account
Example Prompts for Affinity in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Affinity immediately.
"Search for a person contact with the name 'Jane Smith'."
"List all entries in my 'Active Deals' smart list."
"Show me the last 5 meetings my team had with 'Innovate Corp'."
Troubleshooting Affinity MCP Server with LlamaIndex
Common issues when connecting Affinity to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAffinity + LlamaIndex FAQ
Common questions about integrating Affinity 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 Affinity 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 Affinity to LlamaIndex
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.