Starknet
by mcpdotdirect
Connect to Starknet for seamless blockchain data queries, token management, and transactions on mainnet and sepolia.
What it does
Connects AI agents to Starknet blockchain networks for querying account balances, resolving Starknet IDs, and accessing network information. Works with both mainnet and sepolia testnets.
About
Starknet is a community-built MCP server published by mcpdotdirect that provides AI assistants with tools and capabilities via the Model Context Protocol. Connect to Starknet for seamless blockchain data queries, token management, and transactions on mainnet and sepolia. It is categorized under developer tools. This server exposes 25 tools that AI clients can invoke during conversations and coding sessions.
How to install
You can install Starknet 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
Starknet is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Readme
Frequently Asked Questions
- What is the Starknet MCP server?
- Starknet 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 Starknet?
- This profile displays 45 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 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
Discussion
Comments — not star reviews- No comments yet — start the thread.
List & Promote Your MCP Server
Share your MCP server with the developer community
Ratings
4.8★★★★★45 reviews- ★★★★★Dhruvi Jain· Dec 28, 2024
Starknet is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Ira Patel· Dec 16, 2024
Starknet is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Oshnikdeep· Nov 19, 2024
We evaluated Starknet against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Ira Gupta· Nov 7, 2024
We wired Starknet into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Ava Ghosh· Nov 7, 2024
Starknet reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Charlotte Anderson· Oct 26, 2024
According to our notes, Starknet benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Nia Park· Oct 26, 2024
I recommend Starknet for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Ganesh Mohane· Oct 10, 2024
Starknet has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Naina Martinez· Sep 13, 2024
We wired Starknet into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Luis Malhotra· Sep 9, 2024
We evaluated Starknet against two servers with overlapping tools; this profile had the clearer scope statement.
showing 1-10 of 45