Nylas MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Nylas 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 Nylas. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Nylas?"
)
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 Nylas MCP Server
Connect your Nylas account to your AI agent and seamlessly interact with communication data across 100% of email and calendar providers.
LlamaIndex agents combine Nylas tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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
- Email Management — Use
list_messagesto read inbound emails, navigate throughlist_foldersandlist_drafts, or actively compose and dispatch emails live usingsend_message. - Calendar Syncing — Fetch meeting tracking arrays via
list_calendarsandlist_events, or actively block out new times by invokingcreate_event. - Contact Organization — Rapidly enumerate directory users with
list_contactsand insert newly met stakeholders viacreate_contactnatively.
The Nylas MCP Server exposes 10 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 Nylas to LlamaIndex via MCP
Follow these steps to integrate the Nylas 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 10 tools from Nylas
Why Use LlamaIndex with the Nylas MCP Server
LlamaIndex provides unique advantages when paired with Nylas through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Nylas tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Nylas tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Nylas, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Nylas tools were called, what data was returned, and how it influenced the final answer
Nylas + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Nylas MCP Server delivers measurable value.
Hybrid search: combine Nylas real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Nylas 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 Nylas for fresh data
Analytical workflows: chain Nylas queries with LlamaIndex's data connectors to build multi-source analytical reports
Nylas MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Nylas to LlamaIndex via MCP:
create_contact
Insert a brand new address book contact record
create_event
g. Google Calendar). Create a new synchronized calendar event
delete_event
Delete a specific calendar event from the provider
list_calendars
Returns internal calendar UUIDs required to execute event queries. List all user calendars connected via Nylas
list_contacts
List natively synced address book contacts from the user account
list_drafts
Dump unsent email threads parked in the Drafts bound location
list_events
List scheduled events mapped inside a specific Calendar UUID
list_folders
Enumerate the organizational email directories tracking labels/files
list_messages
Retrieve the unified inbox/messages stream for the authenticated grant
send_message
Dispatch an outbound email utilizing the native mail provider
Example Prompts for Nylas in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Nylas immediately.
"Check my inbox for any emails received today with the subject 'Invoice'."
"Schedule a 30-minute sync at 2 PM tomorrow titled 'Q3 Execution Strategy'."
"Find Robert's email address by listing my contacts."
Troubleshooting Nylas MCP Server with LlamaIndex
Common issues when connecting Nylas to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpNylas + LlamaIndex FAQ
Common questions about integrating Nylas 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 Nylas 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 Nylas to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.