How to Use the Covalent MCP in LlamaIndex

Q: How do I connect Covalent to LlamaIndex?

Install llama-index-tools-mcp. Set up a BasicMCPClient pointing to your Vinkius URL, wrap it in McpToolSpec, and call totoollistasync() to feed the tools to your FunctionAgent.

Q: Can LlamaIndex filter which Covalent tools to use?

Yes. You can use the allowedtools parameter to restrict access. If you only want your agent checking balances, just expose gettokenbalances and getnftbalances.

Q: How do I pull historical portfolio data into LlamaIndex?

The gethistoricalportfolio tool returns daily balances and USD valuations. Your agent can fetch this array and index it for time-series querying.

Q: Does Covalent work with LlamaIndex data loaders?

It works alongside them. You configure includeresources=True to let the agent read raw data streams, combining blockchain reads with your existing document loaders.

Index live blockchain transactions and wallet balances directly into your LlamaIndex knowledge base via MCP.

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Connect Covalent MCP to LlamaIndex

Create your Vinkius account to connect Covalent 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 Covalent with LlamaIndex

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Ground RAG apps in live chain data

LlamaIndex turns API responses into searchable context. You can fetch a user's entire transaction history using `get_transactions` and index those raw log events into a local vector store. Now your users can chat with their own wallet history. When they ask about a specific trade, the engine queries the indexed data instead of guessing, providing answers backed by actual blockchain records.

Index Covalent MCP Server outputs

Static documents go stale quickly. By connecting this MCP Server, your knowledge base stays current with live network states via `get_chains_status`. You can build a semantic search tool over supported networks. Run `list_supported_chains` to grab chain IDs and features, then embed that list so users can ask natural language questions about network capabilities.

Combine documents with DEX metrics

Financial research requires both text and numbers. You can ingest whitepapers alongside live liquidity pool data fetched through `get_dex_pools`. The engine synthesizes these disparate sources. A user can ask how a protocol's stated tokenomics match up against its actual reserve amounts, and the query engine will pull from both the PDF and the live DEX data.

Setup guide

Set up Covalent 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 Covalent 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 Covalent tools.",
)
response = await agent.run("List recent Covalent 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 Covalent. 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 Covalent MCP in LlamaIndex

Install `llama-index-tools-mcp`. Set up a `BasicMCPClient` pointing to your Vinkius URL, wrap it in `McpToolSpec`, and call `to_tool_list_async()` to feed the tools to your `FunctionAgent`.

Yes. You can use the `allowed_tools` parameter to restrict access. If you only want your agent checking balances, just expose `get_token_balances` and `get_nft_balances`.

The `get_historical_portfolio` tool returns daily balances and USD valuations. Your agent can fetch this array and index it for time-series querying.

It works alongside them. You configure `include_resources=True` to let the agent read raw data streams, combining blockchain reads with your existing document loaders.

The Vinkius zero-trust architecture ensures your queries remain isolated. Token transfers and contract addresses pass through a secure tunnel to the API, and we drop the connection state the moment the request completes.

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