Troops MCP Server for LlamaIndexGive LlamaIndex instant access to 7 tools to Create Candidate, Create Job, Generate Contract, and more

Name: Troops
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Troops 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 MCP Server for LlamaIndex

Open in ChatGPT Open in Claude Open in Perplexity

The Troops MCP Server for LlamaIndex is a standout in the Productivity category — giving your AI agent 7 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

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 Troops. "
            "You have 7 tools available."
        ),
    )

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

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Troops MCP Server

Connect your Troops account to any AI agent to streamline your recruitment and HR operations through natural conversation.

LlamaIndex agents combine Troops tool responses with indexed documents for comprehensive, grounded answers. Connect 7 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

Job Management — List existing job offers or create new ones with specific locations and dates using list_jobs and create_job.
Candidate Pipeline — Register new candidates and retrieve detailed profiles instantly with create_candidate and get_candidate.
Contract Automation — Generate legal contracts for specific jobs and trigger electronic signature processes via generate_contract and sign_contract.
Time Tracking — Submit and manage timesheets for active contracts to ensure accurate payroll using submit_timesheet.

The Troops MCP Server exposes 7 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 7 Troops tools available for LlamaIndex

When LlamaIndex connects to Troops through Vinkius, your AI agent gets direct access to every tool listed below — spanning job-management, candidate-tracking, timesheets, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create candidate on Troops

create

Create job on Troops

Create a new job offer

generate

Generate contract on Troops

Generate a contract

get

Get candidate on Troops

Get candidate details

list

List jobs on Troops

Can be filtered by status. List job offers

sign

Sign contract on Troops

Sign a contract

submit

Submit timesheet on Troops

Submit a time sheet

Connect Troops to LlamaIndex via MCP

Follow these steps to wire Troops into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 7 tools from Troops

Why Use LlamaIndex with the Troops MCP Server

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

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

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

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

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

Troops + LlamaIndex Use Cases

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

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

Data enrichment: query Troops 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 Troops for fresh data

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

Example Prompts for Troops in LlamaIndex

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

"List all published job offers in the system."

"Register a new candidate: Alice Smith, alice.smith@email.com."

"Generate a contract for candidate cand_987 for job job_001 with a salary rate of 55."

Troubleshooting Troops MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Troops + LlamaIndex FAQ

Common questions about integrating Troops MCP Server with LlamaIndex.

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.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Troops tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

Explore More MCP Servers

View all →

Zenkit

8 tools

Manage workspaces, lists, and entries via the Zenkit API.

Clickatell

10 tools

Manage mobile messaging via Clickatell — send SMS, track delivery status, monitor balance, and handle inbound rules directly from any AI agent.

Datadog Cloud SIEM

10 tools

Manage cloud security via Datadog — search security signals, triage alerts, and audit detection rules directly from any AI agent.

Eurostat Discovery — Dataset Catalog Explorer

3 tools

Explore Eurostat's catalog of 7,000+ official datasets: search by keyword, inspect dataset dimensions and code lists, and query any dataset with flexible filters — the master key to all European Union statistics.