Foundry Toolkit▌
by praneshasp
Foundry Toolkit: Deploy, test, and analyze smart contracts on EVM networks and local Anvil with powerful blockchain dev
Integrates with Foundry blockchain development toolkit to enable smart contract deployment, testing, bytecode analysis, and transaction inspection across local Anvil instances and remote EVM networks.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Solidity developers building smart contracts
- / Blockchain analysts inspecting contract bytecode
- / DeFi developers testing on local networks
- / Smart contract auditors analyzing transactions
capabilities
- / Deploy and test smart contracts using Forge
- / Start local Anvil blockchain instances
- / Analyze contract bytecode and decompile to Solidity
- / Call contract functions and send transactions
- / Decode transaction calldata and generate traces
- / Calculate gas costs and contract addresses
what it does
Connects AI assistants to the Foundry blockchain toolkit for smart contract development, testing, and analysis. Provides access to Forge, Cast, and Anvil tools for EVM blockchain operations.
about
Foundry Toolkit is a community-built MCP server published by praneshasp that provides AI assistants with tools and capabilities via the Model Context Protocol. Foundry Toolkit: Deploy, test, and analyze smart contracts on EVM networks and local Anvil with powerful blockchain dev It is categorized under analytics data, developer tools.
how to install
You can install Foundry Toolkit 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
Foundry Toolkit is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Foundry Toolkit: Deploy, test, and analyze smart contracts on EVM networks and local Anvil with powerful blockchain dev
TL;DR: Connects AI assistants to the Foundry blockchain toolkit for smart contract development, testing, and analysis. Provides access to Forge, Cast, and Anvil tools for EVM blockchain operations.
What it does
- Deploy and test smart contracts using Forge
- Start local Anvil blockchain instances
- Analyze contract bytecode and decompile to Solidity
- Call contract functions and send transactions
- Decode transaction calldata and generate traces
- Calculate gas costs and contract addresses
Best for
- Solidity developers building smart contracts
- Blockchain analysts inspecting contract bytecode
- DeFi developers testing on local networks
- Smart contract auditors analyzing transactions
Highlights
- Full Foundry toolchain integration
- Bytecode decompilation with Heimdall
- Local and remote network support
FAQ
- What is the Foundry Toolkit MCP server?
- Foundry Toolkit 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 Foundry Toolkit?
- This profile displays 72 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★★★★★72 reviews- ★★★★★Ganesh Mohane· Dec 20, 2024
We evaluated Foundry Toolkit against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Hassan White· Dec 8, 2024
We evaluated Foundry Toolkit against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Isabella Zhang· Dec 8, 2024
Foundry Toolkit has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Kofi Kapoor· Dec 4, 2024
Useful MCP listing: Foundry Toolkit is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Ira Srinivasan· Dec 4, 2024
Foundry Toolkit is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Tariq Sharma· Nov 27, 2024
Strong directory entry: Foundry Toolkit surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Kaira Abbas· Nov 27, 2024
Foundry Toolkit has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Tariq Reddy· Nov 27, 2024
We evaluated Foundry Toolkit against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Emma Yang· Nov 23, 2024
Foundry Toolkit is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Zara Taylor· Nov 23, 2024
According to our notes, Foundry Toolkit benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
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