Infura▌
by deflang
Infura: fast, reliable Polygon & Ethereum JSON-RPC APIs — 35+ tools to query balances, transactions, blocks, gas prices,
Provides access to Ethereum and Polygon blockchain data through Infura's JSON-RPC APIs, offering 35+ tools for querying balances, transactions, blocks, gas prices, and smart contract data with support for both read-only operations and raw transaction broadcasting.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / DApp developers building on Ethereum/Polygon
- / Blockchain data analysis and monitoring
- / Smart contract interaction and debugging
- / Transaction tracking and wallet applications
capabilities
- / Query account balances and transaction history
- / Retrieve block data and transaction receipts
- / Get gas prices and fee estimates
- / Access smart contract code and storage
- / Broadcast raw transactions to the network
- / Pull blockchain logs and event data
what it does
Connects to Ethereum and Polygon blockchains through Infura's APIs to query blockchain data like balances, transactions, blocks, and smart contracts. Supports both read-only queries and transaction broadcasting with 35+ available tools.
about
Infura is a community-built MCP server published by deflang that provides AI assistants with tools and capabilities via the Model Context Protocol. Infura: fast, reliable Polygon & Ethereum JSON-RPC APIs — 35+ tools to query balances, transactions, blocks, gas prices, It is categorized under developer tools.
how to install
You can install Infura 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
Infura is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
infura-mcp 🌱
Natural language → Ethereum on-chain data, instantly.
infura-mcp is a MCP server that lets developers query Ethereum blockchain data using Infura APIs
⭐ If you find infura-mcp useful, please star this repo! Your support is crucial for our growth and helps us improve faster.
This project is not sponsored or supported by Infura in any way.
Develop
- Install the dependencies
npm install
- Start the development server
npm run dev
Available Tools
Note :
- All the read only tools are prefixed with get while remaining are write tools.
- write tools are disabled by default but can be enabled by setting WRITE_TOOLS_ENABLED=true in the env
The following tools are available in infura-mcp.
eth_get_accountseth_get_balanceeth_get_blob_base_feeeth_get_block_by_hasheth_get_block_by_numbereth_get_block_numbereth_get_block_receiptseth_get_block_transaction_count_by_hasheth_get_block_transaction_count_by_numbereth_get_codeeth_get_fee_historyeth_get_gas_estimateeth_get_gas_priceeth_get_logseth_get_proofeth_get_storage_ateth_get_transaction_by_block_hash_and_indexeth_get_transaction_by_block_number_and_indexeth_get_transaction_by_hasheth_get_transaction_counteth_get_transaction_receipteth_get_uncle_by_block_hash_and_indexeth_get_uncle_by_block_number_and_indexeth_get_uncle_count_by_block_hasheth_get_uncle_count_by_block_numbereth_get_worketh_get_hashrateeth_max_priority_fee_per_gaseth_get_mining_statuseth_get_protocol_versioneth_send_raw_transactioneth_get_simulated_transactionseth_submit_worketh_get_sync_statuseth_get_web3_client_version
Server description
- ✅ HTTP streaming support
- ✅ Docker containerization
Usage with Claude Desktop
{
"mcpServers": {
"everything": {
"command": "npx",
"args": [
"-y",
"infura-mcp"
],
"env": {
"INFURA_API_KEY": "your-api-key-here"
"WRITE_TOOLS_ENABLED": false
}
}
}
}
Usage with Docker
- For linux platform
docker run --platform linux/amd64 -d \
--name infura-mcp-server \
-p 3000:3000 \
-e INFURA_API_KEY="your-infura-api-key" \
sumiteshn/infura-mcp:latest
- For non-linux platform
docker run -d \
--name infura-mcp-server \
-p 3000:3000 \
-e INFURA_API_KEY="your-infura-api-key" \
sumiteshn/infura-mcp:latest
FAQ
- What is the Infura MCP server?
- Infura 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 Infura?
- This profile displays 60 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★★★★★60 reviews- ★★★★★Anika Abbas· Dec 24, 2024
Infura has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Amelia Brown· Dec 12, 2024
Infura reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Tariq Bhatia· Dec 8, 2024
I recommend Infura for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Zara Wang· Dec 8, 2024
According to our notes, Infura benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Amelia Thomas· Dec 4, 2024
We evaluated Infura against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Aarav Mehta· Nov 27, 2024
Strong directory entry: Infura surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Isabella Jain· Nov 27, 2024
Infura is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Anika Okafor· Nov 27, 2024
Useful MCP listing: Infura is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Daniel Kapoor· Nov 23, 2024
Infura has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Zara Li· Nov 15, 2024
We evaluated Infura against two servers with overlapping tools; this profile had the clearer scope statement.
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