Dify.AI SDK MCP Server for LlamaIndex 14 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Dify.AI SDK 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 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 Dify.AI SDK. "
"You have 14 tools available."
),
)
response = await agent.run(
"What tools are available in Dify.AI SDK?"
)
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 Dify.AI SDK MCP Server
Connect your Vinkius agents directly to Dify.AI, the leading open-source LLM app development platform. With 10 exposed tools, you can execute complex Dify workflows, send messages to specialized chatbots, retrieve session histories, and submit model feedback for RLHF.
LlamaIndex agents combine Dify.AI SDK tool responses with indexed documents for comprehensive, grounded answers. Connect 14 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
- Agent Chat — Send messages to published Dify chatbots and track conversations
- Workflows — Trigger background Dify workflows with dynamic JSON parameters
- Session Management — Rename, fetch, or delete conversation histories
- Audit & Feedback — Programmatically submit 'like/dislike' ratings to improve model tuning
The Dify.AI SDK MCP Server exposes 14 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 Dify.AI SDK to LlamaIndex via MCP
Follow these steps to integrate the Dify.AI SDK 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 14 tools from Dify.AI SDK
Why Use LlamaIndex with the Dify.AI SDK MCP Server
LlamaIndex provides unique advantages when paired with Dify.AI SDK through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Dify.AI SDK tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Dify.AI SDK tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Dify.AI SDK, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Dify.AI SDK tools were called, what data was returned, and how it influenced the final answer
Dify.AI SDK + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Dify.AI SDK MCP Server delivers measurable value.
Hybrid search: combine Dify.AI SDK real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Dify.AI SDK 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 Dify.AI SDK for fresh data
Analytical workflows: chain Dify.AI SDK queries with LlamaIndex's data connectors to build multi-source analytical reports
Dify.AI SDK MCP Tools for LlamaIndex (14)
These 14 tools become available when you connect Dify.AI SDK to LlamaIndex via MCP:
chat_message
Send a chat message to a Dify Application
delete_conversation
Delete a Dify conversation
get_app_meta
Get application meta data configuration
get_conversation_messages
Get historical messages of a specific Dify conversation
get_conversations
List recent conversations for a user
get_suggested_questions
Use after receiving a chat response. Get next suggested questions for a message
get_workflow_info
Get basic App information
get_workflow_parameters
Get required application parameters
rename_conversation
Rename a Dify conversation
run_workflow
Execute a Dify Workflow application
send_completion
Returns the full generated text. Send a text completion request to a Dify completion app
stop_chat_generation
Only supported for streaming mode responses. Stop an in-progress chat message generation
submit_feedback
Submit feedback (like/dislike) for a message
upload_file
Upload a file via URL for multimodal understanding
Example Prompts for Dify.AI SDK in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Dify.AI SDK immediately.
"Check my recent Dify conversations and tell me the name of the last one."
Troubleshooting Dify.AI SDK MCP Server with LlamaIndex
Common issues when connecting Dify.AI SDK to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpDify.AI SDK + LlamaIndex FAQ
Common questions about integrating Dify.AI SDK 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 Dify.AI SDK 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 Dify.AI SDK to LlamaIndex
Get your token, paste the configuration, and start using 14 tools in under 2 minutes. No API key management needed.