TaskForce MCP Server for LlamaIndexGive LlamaIndex instant access to 9 tools to Create Taskforce Case, Create Taskforce Lead, Get Taskforce Customer, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add TaskForce 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 TaskForce app connector for LlamaIndex is a standout in the Sales Automation category — giving your AI agent 9 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 TaskForce. "
"You have 9 tools available."
),
)
response = await agent.run(
"What tools are available in TaskForce?"
)
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 TaskForce MCP Server
Connect your AI agent to TaskForce to natively manage your CRM workflow, customer interactions, and invoicing through natural language commands.
LlamaIndex agents combine TaskForce tool responses with indexed documents for comprehensive, grounded answers. Connect 9 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
- Lead & Customer Management — Query lists of active leads, fetch detailed customer profiles, and instantly create new lead records on the fly.
- Case Tracking — Read and track support or business cases, and generate new cases directly from your chat interface.
- Financial Overview — Pull real-time lists of pending invoices and active quotes to monitor business performance without opening a dashboard.
The TaskForce MCP Server exposes 9 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 9 TaskForce tools available for LlamaIndex
When LlamaIndex connects to TaskForce through Vinkius, your AI agent gets direct access to every tool listed below — spanning lead-management, case-tracking, invoicing, 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 a new case
Create a new lead
Get customer details
Get lead details
List all cases
List all customers
List all invoices
List all leads
List all quotes
Connect TaskForce to LlamaIndex via MCP
Follow these steps to wire TaskForce 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 TaskForce MCP Server
LlamaIndex provides unique advantages when paired with TaskForce through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine TaskForce tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain TaskForce tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query TaskForce, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what TaskForce tools were called, what data was returned, and how it influenced the final answer
TaskForce + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the TaskForce MCP Server delivers measurable value.
Hybrid search: combine TaskForce real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query TaskForce 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 TaskForce for fresh data
Analytical workflows: chain TaskForce queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for TaskForce in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with TaskForce immediately.
"List all active leads in my TaskForce account."
"Create a new lead for John Doe (john@example.com)."
"Fetch the latest invoices and quotes."
Troubleshooting TaskForce MCP Server with LlamaIndex
Common issues when connecting TaskForce to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpTaskForce + LlamaIndex FAQ
Common questions about integrating TaskForce MCP Server with LlamaIndex.