Gmelius MCP Server for LlamaIndexGive LlamaIndex instant access to 9 tools to Check Gmelius Status, Create Gmelius Card, Get Gmelius Board, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Gmelius 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 App Connector for LlamaIndex
The Gmelius app connector for LlamaIndex is a standout in the Productivity category — giving your AI agent 9 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Gmelius. "
"You have 9 tools available."
),
)
response = await agent.run(
"What tools are available in Gmelius?"
)
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 Gmelius MCP Server
Connect your Gmelius account to any AI agent and take full control of your team's collaborative workspace and high-fidelity shared inbox orchestration through natural conversation.
LlamaIndex agents combine Gmelius tool responses with indexed documents for comprehensive, grounded answers. Connect 9 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
- Conversation Portfolio Orchestration — List all collaborative email threads, retrieve detailed high-fidelity history, and monitor ticket status programmatically
- Kanban Pipeline Intelligence — Query team project boards, retrieve detailed technical metadata, and stay on top of workflow progress in real-time
- Card & Task Orchestration — Programmatically generate new task cards or email items on specific boards directly through your agent for perfectly coordinated delivery
- Sequence Monitoring — Access configured automated high-fidelity email sequences and monitor their status directly through your agent for outreach optimization
- Template Discovery — Access your complete directory of high-fidelity shared email templates and inboxes to choose the right context for every interaction
- Operational Monitoring — Verify account-level API connectivity and monitor collaborative volume directly through your agent for perfectly coordinated service scaling
The Gmelius MCP Server exposes 9 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.
All 9 Gmelius tools available for LlamaIndex
When LlamaIndex connects to Gmelius through Vinkius, your AI agent gets direct access to every tool listed below — spanning shared-inbox, email-delegation, kanban-boards, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Check API Status
Add a new card to a board
Get details for a specific board
Get details for a specific conversation
List cards on a Kanban board
List collaborative Kanban boards
List Gmelius shared conversations
List email sequences
List shared email templates
Connect Gmelius to LlamaIndex via MCP
Follow these steps to wire Gmelius into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Gmelius MCP Server
LlamaIndex provides unique advantages when paired with Gmelius through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Gmelius tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Gmelius tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Gmelius, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Gmelius tools were called, what data was returned, and how it influenced the final answer
Gmelius + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Gmelius MCP Server delivers measurable value.
Hybrid search: combine Gmelius real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Gmelius 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 Gmelius for fresh data
Analytical workflows: chain Gmelius queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Gmelius in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Gmelius immediately.
"List all active Kanban boards and show their status."
"Show the last 5 conversations assigned to me."
"Check the available email templates for the 'Sales' team."
Troubleshooting Gmelius MCP Server with LlamaIndex
Common issues when connecting Gmelius to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpGmelius + LlamaIndex FAQ
Common questions about integrating Gmelius MCP Server with LlamaIndex.