Introduction
Accessing blockchain data typically requires:
- setting up RPC endpoints
- managing API keys
- writing and debugging queries
With agent skills for RPC, this process changes.
Instead of writing requests manually, your AI agent can query blockchain data directly using natural language.
This guide walks through how to:
- connect your agent
- run your first queries
- get the most out of dRPC Agent Skills
What You Need Before Starting
Before using dRPC Agent Skills, make sure you have:
- an AI agent environment (ChatGPT, Claude, Gemini, or MCP-compatible tools like Cursor or Claude Code)
- a wallet capable of signing transactions
- access to the dRPC Agent Skills repository
👉 Repository: https://github.com/drpcorg/drpc-agent-skills
No prior RPC knowledge is required.
Step 1: Connect Your AI Agent to dRPC Agent Skills
Unlike traditional RPC setups, there is no manual configuration.
The connection process is handled by the agent itself:
- The agent discovers available skills
- It initiates authentication
- You approve via wallet signature
- The agent receives access credentials
Once complete, the agent is ready to query blockchain data.
Typical setup time: ~30 seconds
Step 2: Run Your First Blockchain Query
After connecting, you can start with simple natural language queries:
Example queries:
- “What is the balance of this wallet: 0x…?”
- “Show the last 10 transactions for this address”
- “Compare gas fees between Ethereum and Arbitrum”
- “What tokens does this wallet hold?”
The agent will:
- determine which RPC methods to call
- structure the request
- return readable results
Here’s what that looks like in practice:
Step 3: Use Built-in Skills and Recipes
dRPC Agent Skills include predefined logic for common use cases.
These “recipes” allow agents to perform more advanced queries without additional input.
Examples:
- DeFi portfolio analysis
- cross-chain comparisons
- gas optimization insights
Instead of chaining multiple RPC calls manually, the agent executes them automatically.
Step 4: Use MCP-Compatible Tools (Optional)
If you are using MCP-enabled environments, dRPC Agent Skills integrate directly.
Supported environments include:
- Claude Code
- Cursor
- Gemini CLI
This allows you to:
- embed blockchain queries into workflows
- automate analysis pipelines
- combine on-chain data with other tools
Step 5: Refine Queries for Better Results
While no prompt engineering is required, better queries improve output quality.
Best practices:
- be specific (e.g. include wallet address, chain)
- ask comparative questions for insights
- break complex queries into steps if needed
Common Use Cases
1. Wallet Analysis
- track balances
- review transaction history
- identify token holdings
2. Cross-Chain Comparisons
- compare gas costs
- evaluate network activity
- analyze differences between L2s
3. Developer Prototyping
- test ideas without writing code
- validate data quickly
- reduce integration overhead
Troubleshooting
1. Agent not connecting
- ensure wallet signature is completed
- verify agent environment supports external tools
2. Incomplete or unclear responses
- refine query with more context
- specify chain or address
3. Unsupported queries
- try breaking into smaller steps
- use simpler phrasing
Best Practices for Using Agent Skills RPC
- start with simple queries
- leverage built-in recipes
- validate outputs for critical use cases
- combine with MCP tools for automation
Key Takeaway
Agent skills for RPC remove the need to manually interact with blockchain infrastructure.
Instead of:
- configuring endpoints
- writing queries
- parsing responses
You can connect your agent and start asking questions.
Get Started
👉 https://drpc.org/agent-skills
👉 https://github.com/drpcorg/drpc-agent-skills
Frequently Asked Questions (FAQS)
How do I connect an AI agent to blockchain RPC?
You can connect an AI agent to blockchain RPC using dRPC Agent Skills. The agent handles discovery, authentication via wallet signature, and access provisioning automatically, without requiring manual setup.
Do I need coding experience to use agent skills?
No. Agent skills for RPC are designed to work with natural language queries. Developers can benefit from faster workflows, but non-technical users can also access blockchain data.
What types of queries can I run?
You can run queries related to:
- wallet balances
- transactions
- token holdings
- gas fees
- cross-chain comparisons
How does the agent know which RPC methods to call?
dRPC Agent Skills include structured definitions that map user intent to RPC methods. The agent uses these to generate correct queries and interpret responses.
Can I use this with MCP tools?
Yes. dRPC Agent Skills are compatible with MCP-enabled tools, allowing integration into AI workflows and development environments.
Is this production-ready?
Yes. Agent Skills operate on top of dRPC’s existing infrastructure, which supports 100+ blockchains and includes decentralized routing and failover.
Does this replace traditional RPC usage?
No. Traditional RPC remains available. Agent Skills provide an additional interface optimized for AI-driven workflows.
