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NFTGo API▌

nftgo

by nftgo

Access Ethereum NFT collections, assets, market trends, and wallet data easily with the NFTGo API for developers via aut

Provides a bridge to the NFTGo Developer API for accessing Ethereum NFT data including collections, assets, market trends, and wallet information through authenticated HTTP requests.

github stars

★ 4

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Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Comprehensive Ethereum NFT dataReal-time market analyticsTrait-based filtering capabilities

best for

  • / NFT traders analyzing market opportunities
  • / Developers building NFT applications
  • / Researchers studying NFT market trends
  • / Portfolio tracking for NFT collectors

capabilities

  • / Retrieve NFT collection metadata and statistics
  • / Query individual NFT details and ownership data
  • / Analyze market trends and price history
  • / View wallet holdings and transaction history
  • / Search and filter NFTs by traits and attributes
  • / Access real-time market data and trading volumes

what it does

Provides access to Ethereum NFT data through the NFTGo API, including collection details, market analytics, pricing history, and wallet holdings.

about

NFTGo API is an official MCP server published by nftgo that provides AI assistants with tools and capabilities via the Model Context Protocol. Access Ethereum NFT collections, assets, market trends, and wallet data easily with the NFTGo API for developers via aut It is categorized under developer tools, analytics data. This server exposes 3 tools that AI clients can invoke during conversations and coding sessions.

how to install

You can install NFTGo API 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

NFTGo API is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

Access Ethereum NFT collections, assets, market trends, and wallet data easily with the NFTGo API for developers via aut

TL;DR: Provides access to Ethereum NFT data through the NFTGo API, including collection details, market analytics, pricing history, and wallet holdings.

What it does

  • Retrieve NFT collection metadata and statistics
  • Query individual NFT details and ownership data
  • Analyze market trends and price history
  • View wallet holdings and transaction history
  • Search and filter NFTs by traits and attributes
  • Access real-time market data and trading volumes

Best for

  • NFT traders analyzing market opportunities
  • Developers building NFT applications
  • Researchers studying NFT market trends
  • Portfolio tracking for NFT collectors

Highlights

  • Comprehensive Ethereum NFT data
  • Real-time market analytics
  • Trait-based filtering capabilities

FAQ

What is the NFTGo API MCP server?
NFTGo API 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 NFTGo API?
This profile displays 31 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. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 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★★★★★31 reviews
  • ★★★★★Amina Robinson· Dec 28, 2024

    NFTGo API has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • ★★★★★Shikha Mishra· Dec 4, 2024

    I recommend NFTGo API for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • ★★★★★Aditi Zhang· Nov 27, 2024

    I recommend NFTGo API for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • ★★★★★Tariq Abebe· Nov 19, 2024

    Strong directory entry: NFTGo API surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • ★★★★★Nikhil Harris· Oct 18, 2024

    NFTGo API reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • ★★★★★Daniel Robinson· Oct 10, 2024

    NFTGo API is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • ★★★★★Rahul Santra· Sep 25, 2024

    Strong directory entry: NFTGo API surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • ★★★★★Xiao Lopez· Sep 5, 2024

    NFTGo API has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • ★★★★★Chen Gill· Aug 24, 2024

    We evaluated NFTGo API against two servers with overlapping tools; this profile had the clearer scope statement.

  • ★★★★★Pratham Ware· Aug 16, 2024

    NFTGo API is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

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