Thirdweb▌
by thirdweb-dev
Thirdweb — Read/write across 2,000+ blockchains: query data, analyze/deploy contracts, and execute transactions with a p
Read/write to over 2k blockchains, enabling data querying, contract analysis/deployment, and transaction execution, powered by Thirdweb.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Web3 developers building dApps
- / Blockchain data analysis and research
- / Smart contract deployment and testing
- / Multi-chain wallet management
capabilities
- / Query blockchain data across 2,000+ chains
- / Deploy and analyze smart contracts
- / Manage wallets and sign transactions
- / Upload files to IPFS storage
- / Execute blockchain tasks via natural language
- / Monitor token prices and contract events
what it does
Connects to over 2,000 blockchains for querying data, analyzing contracts, managing wallets, and executing transactions through Thirdweb's infrastructure.
about
Thirdweb is a community-built MCP server published by thirdweb-dev that provides AI assistants with tools and capabilities via the Model Context Protocol. Thirdweb — Read/write across 2,000+ blockchains: query data, analyze/deploy contracts, and execute transactions with a p It is categorized under developer tools.
how to install
You can install Thirdweb in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
Apache-2.0
Thirdweb is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
thirdweb AI
AI Agents with Onchain Intelligence
📖 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 five core components: Insight for data analysis, Engine for wallet and contract operations, EngineCloud for cloud-based engine operations, Storage for decentralized file management, and Nebula for natural language-powered blockchain interactions.
🌐 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
EngineCloud
Cloud-based engine operations with advanced capabilities:
- Server Wallets: Create and manage server wallets with KMS integration
- Contract Interaction: Read from and write to smart contracts
- Transaction Management: Send transactions and query transaction history
- Balance Queries: Check native token balances on various chains
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
🚀 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, EngineCloud, Insight, Nebula, Storage, Tool
# Initialize services
insight = Insight(secret_key=...)
nebula = Nebula(secret_key=...)
engine = Engine(...)
engine_cloud = EngineCloud(secret_key=..., vault_access_token=...) # For cloud-based operations
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(),
# *engine_cloud.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.
📜 Documentation
For comprehensive documentation, please visit:
🚨 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.
⚠️ Important Usage Notes
When using Nebula, do not combine it with other tools (Insight, Engine, EngineCloud, 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.
📦 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
📧 Contact
- Website: thirdweb.com
- X: @thirdweb
- Telegram: Join our community
- Discord: Join our community
- Email: [email protected]
📝 License
thirdweb AI is licensed under the Apache-2.0 License. See the LICENSE file for details.
FAQ
- What is the Thirdweb MCP server?
- Thirdweb is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Thirdweb?
- This profile displays 57 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ Use When
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid When
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.7★★★★★57 reviews- ★★★★★Sophia Thompson· Dec 20, 2024
We wired Thirdweb into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Sophia Garcia· Dec 12, 2024
Thirdweb is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Zaid Thomas· Dec 4, 2024
Strong directory entry: Thirdweb surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Nia Mehta· Nov 23, 2024
Thirdweb has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Carlos Abebe· Nov 11, 2024
We evaluated Thirdweb against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Nia Gonzalez· Nov 3, 2024
Thirdweb is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Isabella Desai· Oct 22, 2024
We wired Thirdweb into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Benjamin Ghosh· Oct 14, 2024
According to our notes, Thirdweb benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Anika Khanna· Oct 2, 2024
Thirdweb is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Piyush G· Sep 21, 2024
I recommend Thirdweb for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
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