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Salesmate MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Create Activity, Create Contact, Create Deal, and more

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Salesmate 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 Salesmate 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 Salesmate. "
            "You have 12 tools available."
        ),
    )

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

asyncio.run(main())
Salesmate
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* 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 Salesmate MCP Server

Connect your Salesmate account to any AI agent and take full control of your sales automation and customer relationship orchestration through natural conversation. Salesmate provides a modern and powerful CRM platform, and this integration allows you to retrieve contact metadata, manage deal pipelines, and log real-time sales activities directly from your chat interface.

LlamaIndex agents combine Salesmate 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

  • Contact & Relationship Orchestration — List and create contacts and companies programmatically to ensure your CRM database is always synchronized.
  • Pipeline & Deal Intelligence — Access and monitor your sales deals and retrieve detailed status metadata directly from the AI interface to close deals faster.
  • Activity & Task Control — Log calls, meetings, and tasks and retrieve detailed activity history via natural language.
  • Team & User Oversight — Access team member metadata and monitor system users to ensure your sales team is fully integrated.
  • Operational Monitoring — Track system activity and monitor webhooks to ensure your automated sales flows are always optimized.

The Salesmate 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 Salesmate tools available for LlamaIndex

When LlamaIndex connects to Salesmate through Vinkius, your AI agent gets direct access to every tool listed below — spanning deal-pipeline, contact-management, activity-logging, 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.

create_activity

Log a new activity

create_contact

Create a new contact

create_deal

Create a new deal

get_account_info

Get current profile

get_contact

Get contact details

get_deal

Get deal details

list_activities

List CRM activities

list_contacts

List all CRM contacts

list_deals

List sales deals

list_team_users

List all team members

list_webhooks

List configured webhooks

update_contact

Update contact info

Connect Salesmate to LlamaIndex via MCP

Follow these steps to wire Salesmate 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 Salesmate

Why Use LlamaIndex with the Salesmate MCP Server

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

01

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

02

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

03

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

04

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

Salesmate + LlamaIndex Use Cases

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

01

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

02

Data enrichment: query Salesmate 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 Salesmate for fresh data

04

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

Example Prompts for Salesmate in LlamaIndex

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

01

"List all active deals in my Salesmate pipeline."

02

"Show me the sales pipeline with deal values grouped by stage and expected close dates."

03

"Create a new deal for Meridian Corp worth $85,000 and assign it to the enterprise sales team."

Troubleshooting Salesmate MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Salesmate + LlamaIndex FAQ

Common questions about integrating Salesmate 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 Salesmate 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.