Freshteam MCP Server for LlamaIndex 12 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Freshteam 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 Freshteam. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Freshteam?"
)
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 Freshteam MCP Server
Connect your Freshteam account to any AI agent to automate your HR operations and recruitment workflows through the Model Context Protocol (MCP). Freshteam is the smart HR software by Freshworks that handles everything from recruiting and onboarding to time-off management. This MCP server enables you to manage your employee directory, track active job postings, and retrieve applicant data directly through natural conversation.
LlamaIndex agents combine Freshteam 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.
Key Features
- Employee Directory — List all employees, retrieve detailed HR profiles, and programmatically create new employee records.
- Recruitment Tracking — Access your active job postings and list all applicants for specific roles to manage your hiring pipeline.
- Applicant Discovery — Retrieve detailed candidate profiles and application statuses instantly.
- Time-off Management — Monitor employee time-off requests and leave balances to ensure proper workforce coverage.
- Organization Structure — Access configured departments, job roles, and office branches to understand your company's hierarchy.
- Real-time Synchronization — Keep your HR data accessible to your AI assistant without leaving your primary workspace.
The Freshteam 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.
How to Connect Freshteam to LlamaIndex via MCP
Follow these steps to integrate the Freshteam 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 12 tools from Freshteam
Why Use LlamaIndex with the Freshteam MCP Server
LlamaIndex provides unique advantages when paired with Freshteam through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Freshteam tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Freshteam tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Freshteam, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Freshteam tools were called, what data was returned, and how it influenced the final answer
Freshteam + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Freshteam MCP Server delivers measurable value.
Hybrid search: combine Freshteam real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Freshteam 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 Freshteam for fresh data
Analytical workflows: chain Freshteam queries with LlamaIndex's data connectors to build multi-source analytical reports
Freshteam MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect Freshteam to LlamaIndex via MCP:
check_hris_status
Verify API connection
create_employee_record
Create an employee
get_applicant_details
Get candidate profile
get_employee_details
Get employee metadata
get_job_posting_details
Get job metadata
list_departments
List HR departments
list_employees
List HR employees
list_job_applicants
List job candidates
list_job_postings
List active job openings
list_job_roles
List job roles
list_office_branches
List office locations
list_time_off_requests
List leave requests
Example Prompts for Freshteam in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Freshteam immediately.
"List all active job postings in Freshteam."
"Show me the HR profile for employee 'Jane Smith'."
"Create a new employee record for 'John Doe' (johndoe@email.com)."
Troubleshooting Freshteam MCP Server with LlamaIndex
Common issues when connecting Freshteam to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpFreshteam + LlamaIndex FAQ
Common questions about integrating Freshteam 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 Freshteam 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 Freshteam to LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.