How to Use the Dynamo Software MCP in LlamaIndex
Index your Dynamo Software records into LlamaIndex to build a searchable knowledge base for your firm.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Dynamo Software MCP to LlamaIndex
Create your Vinkius account to connect Dynamo Software to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Semantic search for funds
Use `search_investment_funds` to pull data into your vector index for semantic retrieval. Your LLM can answer questions about fund categories based on the live data it indexed. This turns your static API results into a queryable memory. You'll get precise answers grounded in your actual account records rather than guessing.
Index fund details
Call `get_fund_details` and feed the output directly into your RAG pipeline. LlamaIndex stores these records so your agent can compare current fund settings against past configurations. Your knowledge base stays updated as you add new funds. Just run the ingestion loop, and the index reflects your latest Dynamo Software state.
Query historical activities
Retrieve `list_latest_dynamo_activities` and index the logs for long-term pattern analysis. You can ask your agent what changed in a portfolio over the last month and get a cited response. This approach gives you a historical record of all platform interactions. It's built for deep dives into past investment decisions.
Set up Dynamo Software MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports. - 3
Convert to LlamaIndex tools
Call
mcp_tool_spec.to_tool_list_async()to convert all Dynamo Software MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
# Connect to the MCP
mcp_client = BasicMCPClient(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)
# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()
# Create and run the agent
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt="You have access to Dynamo Software tools.",
)
response = await agent.run("List recent Dynamo Software data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Dynamo Software. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Dynamo Software MCP in LlamaIndex
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