Nango (Unified API & Integration Platform) MCP Server for LlamaIndex 7 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Nango (Unified API & Integration Platform) as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
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 Nango (Unified API & Integration Platform). "
"You have 7 tools available."
),
)
response = await agent.run(
"What tools are available in Nango (Unified API & Integration Platform)?"
)
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 Nango (Unified API & Integration Platform) MCP Server
Connect your Nango account to any AI agent and take full control of your product's integrations, OAuth connections, and automated data synchronization through natural conversation.
LlamaIndex agents combine Nango (Unified API & Integration Platform) tool responses with indexed documents for comprehensive, grounded answers. Connect 7 tools through the 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
- Integration Orchestration — List all configured integration logics across 700+ providers and retrieve detailed sync parameters and provider keys directly from your agent
- Connection Management — List and audit authenticated OAuth or credential-based connections to verify which customers have linked which external platforms securely
- Sync Monitoring — Track the real-time status and historical logs of automated data synchronizations to identify processing errors or data drift natively
- Unified Record Access — Explore actual synchronized data records for specific models (e.g., contacts, deals, tasks) across your entire connection pool securely
- Credential Audit — Retrieve precise metadata mapping authentication payloads and token boundaries for any specific Nango connection instantly
- Environment Visibility — Inspect your environment's runtime mapping logic and host constraints to ensure your integration infrastructure is healthy and correctly configured
The Nango (Unified API & Integration Platform) MCP Server exposes 7 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 Nango (Unified API & Integration Platform) to LlamaIndex via MCP
Follow these steps to integrate the Nango (Unified API & Integration Platform) 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 7 tools from Nango (Unified API & Integration Platform)
Why Use LlamaIndex with the Nango (Unified API & Integration Platform) MCP Server
LlamaIndex provides unique advantages when paired with Nango (Unified API & Integration Platform) through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Nango (Unified API & Integration Platform) tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Nango (Unified API & Integration Platform) tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Nango (Unified API & Integration Platform), a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Nango (Unified API & Integration Platform) tools were called, what data was returned, and how it influenced the final answer
Nango (Unified API & Integration Platform) + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Nango (Unified API & Integration Platform) MCP Server delivers measurable value.
Hybrid search: combine Nango (Unified API & Integration Platform) real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Nango (Unified API & Integration Platform) 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 Nango (Unified API & Integration Platform) for fresh data
Analytical workflows: chain Nango (Unified API & Integration Platform) queries with LlamaIndex's data connectors to build multi-source analytical reports
Nango (Unified API & Integration Platform) MCP Tools for LlamaIndex (7)
These 7 tools become available when you connect Nango (Unified API & Integration Platform) to LlamaIndex via MCP:
get_connection
Get exact metadata extracting details mapped to a specific Nango connection
get_environment
Retrieve literal environment runtime mapping logic bounds representing the active Nango instance
get_integration
Retrieve explicit parameters mapping a single target Nango integration
list_connections
List instantiated OAuth or credential connections authenticated via Nango
list_integrations
List integration logic configurations available in Nango
list_records
List actual data records synchronized matching a connected provider mapping
list_syncs
List history or current synchronization status mapped to a connection
Example Prompts for Nango (Unified API & Integration Platform) in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Nango (Unified API & Integration Platform) immediately.
"List all active Salesforce connections in Nango"
"Show me the last 5 sync logs for connection ID 'conn-123'"
"Fetch the synchronized 'contacts' records for connection 'conn-456'"
Troubleshooting Nango (Unified API & Integration Platform) MCP Server with LlamaIndex
Common issues when connecting Nango (Unified API & Integration Platform) to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpNango (Unified API & Integration Platform) + LlamaIndex FAQ
Common questions about integrating Nango (Unified API & Integration Platform) 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 Nango (Unified API & Integration Platform) 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 Nango (Unified API & Integration Platform) to LlamaIndex
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.