YepCode MCP Server for LlamaIndexGive LlamaIndex instant access to 6 tools to Get Process Details, List Executions, List Processes, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add YepCode 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 YepCode app connector for LlamaIndex is a standout in the Ship It category — giving your AI agent 6 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 YepCode. "
"You have 6 tools available."
),
)
response = await agent.run(
"What tools are available in YepCode?"
)
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 YepCode MCP Server
Connect your YepCode account to any AI agent and simplify how you automate complex data integrations and serverless workflows through natural conversation.
LlamaIndex agents combine YepCode tool responses with indexed documents for comprehensive, grounded answers. Connect 6 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
- Process Control — List and trigger serverless processes with custom parameters directly from your agent.
- Execution Monitoring — Track the history and status of your workflow runs to ensure reliability.
- Secret Management — List and verify account secrets used in your automations without exposing values.
- Team Coordination — Query available teams and workspaces to understand your development environment.
The YepCode MCP Server exposes 6 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 6 YepCode tools available for LlamaIndex
When LlamaIndex connects to YepCode through Vinkius, your AI agent gets direct access to every tool listed below — spanning serverless, workflow-automation, data-integration, 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.
Get details for a specific process
List recent process executions
List YepCode processes
List account secrets
List available teams
Trigger a process execution
Connect YepCode to LlamaIndex via MCP
Follow these steps to wire YepCode 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 YepCode MCP Server
LlamaIndex provides unique advantages when paired with YepCode through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine YepCode tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain YepCode tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query YepCode, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what YepCode tools were called, what data was returned, and how it influenced the final answer
YepCode + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the YepCode MCP Server delivers measurable value.
Hybrid search: combine YepCode real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query YepCode 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 YepCode for fresh data
Analytical workflows: chain YepCode queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for YepCode in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with YepCode immediately.
"Show me all available processes in my YepCode account."
"Run the 'Data Export' process with the parameter { "format": "csv" }."
"Check the status of my recent process executions."
Troubleshooting YepCode MCP Server with LlamaIndex
Common issues when connecting YepCode to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpYepCode + LlamaIndex FAQ
Common questions about integrating YepCode MCP Server with LlamaIndex.