Merge (Unified Integration API) MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Merge (Unified Integration API) 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 Merge (Unified Integration API). "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Merge (Unified Integration API)?"
)
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 Merge (Unified Integration API) MCP Server
Connect your Merge.dev account to any AI agent and take full control of your unified B2B integrations across HRIS, ATS, CRM, and Ticketing through natural conversation.
LlamaIndex agents combine Merge (Unified Integration API) tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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
- HRIS Orchestration — List all active employees and organizational companies from your connected HRIS (e.g., BambooHR, Workday, HiBob) directly from your agent
- ATS Talent Pipeline — Retrieve recruited candidates and tracked job applications from your ATS integration (e.g., Greenhouse, Lever, Ashby) to monitor hiring workflows
- CRM Contact Management — Access external sales contacts and customer accounts from your CRM (e.g., Salesforce, HubSpot, Pipedrive) to manage your business directory securely
- Ticketing & Support — List inbound and outbound support tickets from your issue-tracking boards (e.g., Zendesk, Jira, Front) to stay updated on customer issues
- Unified Data Access — Retrieve standardized data structures across hundreds of different integrations using a single set of API tools natively handled by Merge
- Integration Audit — Inspect linked account details and meta-configurations to understand the current state and boundaries of your connected workspace securely
The Merge (Unified Integration API) MCP Server exposes 8 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 Merge (Unified Integration API) to LlamaIndex via MCP
Follow these steps to integrate the Merge (Unified Integration API) 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 8 tools from Merge (Unified Integration API)
Why Use LlamaIndex with the Merge (Unified Integration API) MCP Server
LlamaIndex provides unique advantages when paired with Merge (Unified Integration API) through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Merge (Unified Integration API) tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Merge (Unified Integration API) tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Merge (Unified Integration API), a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Merge (Unified Integration API) tools were called, what data was returned, and how it influenced the final answer
Merge (Unified Integration API) + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Merge (Unified Integration API) MCP Server delivers measurable value.
Hybrid search: combine Merge (Unified Integration API) real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Merge (Unified Integration API) 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 Merge (Unified Integration API) for fresh data
Analytical workflows: chain Merge (Unified Integration API) queries with LlamaIndex's data connectors to build multi-source analytical reports
Merge (Unified Integration API) MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect Merge (Unified Integration API) to LlamaIndex via MCP:
get_account_details
dev. Retrieve linked Account Details exposing integration boundaries
list_accounts
List customer accounts parsed from the CRM integration
list_applications
List job applications inside the ATS integration
list_candidates
List recruited candidates across the ATS integration
list_companies
List companies mapped inside the HRIS integration
list_contacts
List external contacts mapped in the CRM integration
list_employees
Be aware the list might be paginated or heavy. List employees from the linked HRIS integration
list_tickets
List inbound/outbound support tickets inside the Ticketing integration
Example Prompts for Merge (Unified Integration API) in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Merge (Unified Integration API) immediately.
"List all active employees from our linked HRIS"
"Show me the last 5 candidates in our ATS talent pipeline"
"List all open support tickets in our ticketing integration"
Troubleshooting Merge (Unified Integration API) MCP Server with LlamaIndex
Common issues when connecting Merge (Unified Integration API) to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpMerge (Unified Integration API) + LlamaIndex FAQ
Common questions about integrating Merge (Unified Integration API) 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 Merge (Unified Integration API) 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 Merge (Unified Integration API) to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.