Covalent MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Covalent 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 Covalent. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Covalent?"
)
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 Covalent MCP Server
Integrate Covalent, the unified API for blockchain data, directly into your AI workflow. Access real-time and historical data across Ethereum, Polygon, Binance Smart Chain, and over 100 other supported networks using natural language.
LlamaIndex agents combine Covalent tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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
- Wallet Insights — Retrieve token balances, historical portfolio values, and transaction history for any wallet address.
- NFT Discovery — List NFT balances and metadata across supported chains.
- Transaction Auditing — Get full details and log events for specific transaction hashes.
- Network Monitoring — Check block details and monitor supported chain statuses.
The Covalent MCP Server exposes 10 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 Covalent to LlamaIndex via MCP
Follow these steps to integrate the Covalent 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 10 tools from Covalent
Why Use LlamaIndex with the Covalent MCP Server
LlamaIndex provides unique advantages when paired with Covalent through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Covalent tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Covalent tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Covalent, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Covalent tools were called, what data was returned, and how it influenced the final answer
Covalent + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Covalent MCP Server delivers measurable value.
Hybrid search: combine Covalent real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Covalent 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 Covalent for fresh data
Analytical workflows: chain Covalent queries with LlamaIndex's data connectors to build multi-source analytical reports
Covalent MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Covalent to LlamaIndex via MCP:
get_block_details
Resolves block hashes, parent hashes, timestamps, and transaction counts for the specified chain. Get details for a specific block height
get_chains_status
Resolves block height lag, current sync status, and API availability across all supported networks. Get the current indexing status of all supported chains
get_dex_pools
Resolves liquidity pool addresses, token pairs, reserve amounts, and volume metrics for the specified DEX. List liquidity pools for a DEX on a specific chain
get_historical_portfolio
Resolves daily balances, asset valuations in USD, and historical price points for the specified wallet. Get historical daily portfolio value for a wallet address
get_nft_balances
Resolves NFT contract names, token IDs, metadata URLs, and image links across the specified blockchain network. Get NFT balances for a wallet address
get_token_balances
Resolves contract addresses, ticker symbols, token decimals, and current balances (formatted and raw) for the specified wallet and chain. Get token balances for a wallet address on a specific chain
get_token_transfers
Resolves sender/receiver addresses, transfer values, and transaction timestamps for the specified wallet. Get historical token transfers for a wallet address
get_transaction_details
Touches raw log events, decoded event parameters, and gas consumption metrics boundary. Get full details and logs for a specific transaction hash
get_transactions
Resolves transaction hashes, block heights, timestamps, and log events for the specified wallet on the given chain. Get transaction history for a wallet address
list_supported_chains
Resolves chain IDs, human-readable names, and supported features (NFTs, Dex, etc.) for each blockchain. List all blockchains supported by Covalent
Example Prompts for Covalent in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Covalent immediately.
"Show me the token balances for address '0x123...' on eth-mainnet."
"List the last 10 transactions for address '0x123...' on matic-mainnet."
"What are the NFT holdings for wallet '0x123...' on eth-mainnet?"
Troubleshooting Covalent MCP Server with LlamaIndex
Common issues when connecting Covalent to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCovalent + LlamaIndex FAQ
Common questions about integrating Covalent 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 Covalent 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 Covalent to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.