Seitrace▌
by seitrace
Seitrace offers Sei blockchain token analytics, transactions, and portfolio management for DeFi. Track balances, holders
Integrates with Sei blockchain networks to provide token analytics, balance tracking, transaction history, and holder data across ERC-20, ERC-721, ERC-1155, CW-20, CW-721, ICS-20, and native tokens for DeFi analysis and portfolio management.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / DeFi developers building on Sei blockchain
- / Portfolio tracking and token analytics
- / NFT marketplace and collection analysis
- / Blockchain data analysis and research
capabilities
- / Query token balances and transfers for ERC-20, CW-20, native, and ICS-20 tokens
- / Track NFT collections and instances across ERC-721, ERC-1155, and CW-721 standards
- / Analyze address transaction history and token holdings
- / Search and retrieve official asset information by name or symbol
- / Execute RPC/LCD requests for general blockchain queries
- / Request testnet faucet tokens for development
what it does
Provides comprehensive analytics and data access for Sei blockchain, including token balances, transaction history, and holder information across multiple token standards.
about
Seitrace is an official MCP server published by seitrace that provides AI assistants with tools and capabilities via the Model Context Protocol. Seitrace offers Sei blockchain token analytics, transactions, and portfolio management for DeFi. Track balances, holders It is categorized under analytics data, developer tools.
how to install
You can install Seitrace 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
MIT
Seitrace is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Seitrace offers Sei blockchain token analytics, transactions, and portfolio management for DeFi. Track balances, holders
TL;DR: Provides comprehensive analytics and data access for Sei blockchain, including token balances, transaction history, and holder information across multiple token standards.
What it does
- Query token balances and transfers for ERC-20, CW-20, native, and ICS-20 tokens
- Track NFT collections and instances across ERC-721, ERC-1155, and CW-721 standards
- Analyze address transaction history and token holdings
- Search and retrieve official asset information by name or symbol
- Execute RPC/LCD requests for general blockchain queries
- Request testnet faucet tokens for development
Best for
- DeFi developers building on Sei blockchain
- Portfolio tracking and token analytics
- NFT marketplace and collection analysis
- Blockchain data analysis and research
Highlights
- Supports 7 token standards including hybrid EVM/native
- Resource-based API with schema validation
- Code snippet generation for multiple languages
FAQ
- What is the Seitrace MCP server?
- Seitrace 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 Seitrace?
- This profile displays 50 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 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
4.5★★★★★50 reviews- ★★★★★Nikhil Patel· Dec 28, 2024
Seitrace is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Chaitanya Patil· Dec 24, 2024
We wired Seitrace into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Li Smith· Dec 24, 2024
We wired Seitrace into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Mei Ramirez· Nov 27, 2024
Strong directory entry: Seitrace surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Chen Abbas· Nov 19, 2024
We wired Seitrace into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Piyush G· Nov 15, 2024
Seitrace is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Valentina Smith· Nov 15, 2024
Seitrace is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Mei Martin· Nov 11, 2024
I recommend Seitrace for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Valentina Johnson· Nov 11, 2024
Seitrace reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Chinedu Sharma· Oct 18, 2024
Seitrace is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
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