thirdweb MCP Server
by cjber
What is thirdweb MCP Server
thirdweb AI
AI Agents with Onchain Intelligence
๐ Overview
thirdweb AI is thirdweb's comprehensive toolkit for blockchain data analysis, wallet management, and AI agent interaction with blockchains. It simplifies complex blockchain operations into four core components: Insight for data analysis, Engine for wallet and contract operations, Storage for decentralized file management, and Nebula for natural language-powered blockchain interactions.
๐ Features
Insight
Comprehensive blockchain data intelligence:
- Chains: Multi-chain support and network information
- Transactions: Transaction analysis and monitoring
- Blocks: Block data exploration and metrics
- Events: Smart contract event tracking and filtering
- Prices: Real-time token price feeds
- Tokens: Detailed token information and analytics
Engine
Core blockchain interaction capabilities:
- Wallet: Secure wallet management and transaction signing
- Read: Read operations for smart contracts and blockchain data
- Write: Transaction creation and contract interaction
Storage
Decentralized storage capabilities:
- Upload: Upload files, directories, and JSON data to IPFS
- Fetch: Retrieve content from IPFS using thirdweb gateway
Nebula
AI agent blockchain interaction:
- Natural Language Agent Action: Completing blockchain tasks through natural language instructions
๐ Quickstart
MCP Server
Installation
### Run using uvx
THIRDWEB_SECRET_KEY=... \
uvx thirdweb-mcp
### Install and run using pipx (and run thirdweb-mcp)
pipx install thirdweb-mcp
THIRDWEB_SECRET_KEY=... \
thirdweb-mcp
More information
Python SDK
Installation
# Install core package with all framework adapters
pip install "thirdweb-ai[all]"
# Or install with specific framework adapters
pip install "thirdweb-ai[openai]" # For OpenAI Agents
pip install "thirdweb-ai[langchain]" # For LangChain
pip install "thirdweb-ai[agentkit]" # For Coinbase Agentkit
pip install "thirdweb-ai[goat]" # For GOAT SDK
# ... many more framework supported
See the list of supported framework and installation guides
Basic Usage
from thirdweb_ai import Engine, Insight, Nebula, Storage, Tool
# Initialize services
insight = Insight(secret_key=...)
nebula = Nebula(secret_key=...)
engine = Engine(...)
storage = Storage(secret_key=...)
# Example: Create tools for AI agents
# Option 1: Use Nebula alone (recommended when you need a self-sufficient blockchain agent)
# Nebula already uses most other services internally
tools = [
*nebula.get_tools(),
]
# Option 2: Use individual services directly without Nebula
# tools = [
# *insight.get_tools(),
# *engine.get_tools(),
# *storage.get_tools(),
# ]
# Example: Framework integration (LangChain)
from thirdweb_ai.adapters.langchain import get_langchain_tools
langchain_tools = get_langchain_tools(tools)
agent = create_tool_calling_agent(tools=langchain_tools, ...)
# Example: Framework integration (OpenAI Agents)
from thirdweb_ai.adapters.openai import get_openai_tools
openai_tools = get_openai_tools(tools)
agent = Agent(name="thirdweb Assistant", tools=tools)
# see python/examples for other framework integration
More information
TypeScript SDK
Coming soon.
๐ Documentation
For comprehensive documentation, please visit:
๐จ Security and Bug Reports
We take security seriously. If you discover a security vulnerability within thirdweb AI, please email [email protected] rather than using the issue tracker.
For non-security-related bugs, please use the GitHub issue tracker.
โ ๏ธ Important Usage Notes
When using Nebula, do not combine it with other tools (Insight, Engine, Storage) in the same agent implementation as Nebula already calls these tools in the background. Using them together can lead to compatibility issues and unexpected behavior.
๐ฆ Publishing Workflow
To publish a new version of thirdweb AI packages:
- Create a git tag for the new version:
git tag -a v0.X.Y -m "Release v0.X.Y"
- Push the tag to GitHub:
git push origin v0.X.Y
- Go to GitHub and create a release using this tag
- The CI/CD pipeline will automatically build and publish both packages to PyPI with matching version numbers
๐ง Contact
- Website: thirdweb.com
- X: @thirdweb
- Telegram: Join our community
- Discord: Join our community
- Email: [email protected]
๐ License
thirdweb AI is licensed under the Apache-2.0 License. See the LICENSE file for details.
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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