How to Use the Harmonic MCP in LlamaIndex

Q: How do I connect LlamaIndex to Harmonic?

Run pip install llama-index-tools-mcp. Initialize a BasicMCPClient with the endpoint URL, then wrap it in McpToolSpec to expose the tools to your indexing pipeline. Connecting this MCP Server takes under two minutes.

Q: How do I filter which Harmonic tools my LlamaIndex agent can access?

You pass an allowedtools list when initializing the tool spec. This restricts the MCP Server to only the specific endpoints you want your agent to call.

Index live startup data from Harmonic directly into your LlamaIndex knowledge bases.

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Connect Harmonic MCP to LlamaIndex

Create your Vinkius account to connect Harmonic 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.

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Setup Harmonic with LlamaIndex

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Claude

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Index live traction signals into RAG

Harmonic feeds live startup metrics into your LlamaIndex knowledge base. Your agent pulls real-time web growth metrics via `list_traction_signals` instead of relying on static PDFs. LlamaIndex takes the output from `get_company_stats` and embeds it directly into your vector store. You can ask your agent about a startup's engineering headcount growth, and it answers using live API data.

Queryable investor portfolios

Harmonic turns venture capital deployment into searchable data. Your FunctionAgent executes `search_investors` and dumps the raw firmographics into the index. It follows up with `get_investor_portfolio` to grab their active bets. Now your knowledge base contains a semantic map of who funded whom, ready for natural language queries.

Harmonic MCP Server data grounding

Harmonic grounds your agent in real-time startup events. Your agent calls `list_company_news` before answering any questions about recent product launches or PR disasters. If a company profile lacks detail, the agent triggers `enrich_company`. If the background job needs time, it checks `get_enrichment_status` until the fresh data is ready to be indexed.

Setup guide

Set up Harmonic MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
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 provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to 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 Harmonic MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

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 Harmonic tools.",
)
response = await agent.run("List recent Harmonic data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Harmonic. 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.

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Common questions about Harmonic MCP in LlamaIndex

Run `pip install llama-index-tools-mcp`. Initialize a `BasicMCPClient` with the endpoint URL, then wrap it in `McpToolSpec` to expose the tools to your indexing pipeline. Connecting this MCP Server takes under two minutes.

Yes. LlamaIndex takes the JSON output from any tool and converts it into document nodes. You can embed entire startup profiles into your vector database.

You pass an `allowed_tools` list when initializing the tool spec. This restricts the MCP Server to only the specific endpoints you want your agent to call.

LlamaIndex agents can handle async workflows. They will poll the status endpoint until the background data enrichment job finishes.

Harmonic processes headcount stats, news, and investor portfolios. Your LlamaIndex application embeds this data locally. The MCP connection never stores your semantic queries or vector database contents.

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