ether-data-provider
A server facilitating data retrieval and querying from the Ethereum distributed ledger, offering essential blockchain metrics like account holdings and prevailing transaction fees via straightforward queries.
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0xKoda
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Ethereum Ledger Access Protocol (LAP) Server
A Model Context Protocol (MCP) instance designed for interfacing with the Ethereum virtual machine and its underlying ledger.
Summary
This specialized MCP service furnishes interfaces to probe Ethereum blockchain state using established JSON-RPC conventions. It empowers intelligent agents and applications to interact programmatically with Ethereum through a standardized communication mechanism.
Capabilities
This MCP service exposes three principal Ethereum Remote Procedure Call (RPC) functions as callable tools:
- eth_getCode: Obtain the bytecode deployed at a designated Ethereum address.
- eth_gasPrice: Determine the prevailing cost structure for transaction processing on the Ethereum network.
- eth_getBalance: Verify the token balance associated with a specific Ethereum wallet address.
Future functionality expansion is planned.
Deployment Instructions
Integrating into Cursor IDE
To incorporate this MCP into your Cursor environment:
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Initially, secure a local copy of the repository: bash git clone https://github.com/yourusername/eth-mpc.git
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Navigate to Cursor configuration menus → MCP settings → Register a new MCP endpoint.
- Assign a unique identifier (e.g., "ether-data-provider").
- Specify the transport type as "command".
- Provide the absolute path to the execution script:
node /path/to/eth-mpc/index.js
- Activate the server by clicking "Register".
With these steps complete, the curated set of Ethereum inquiry utilities will become accessible within Cursor's operational scope.
The underlying transport mechanism relies on standard input/output (stdio), ensuring seamless compatibility with compliant MCP consumers such as Claude Desktop and Cursor.
Validation via MCP Inspector
The MCP Inspector utility serves as a crucial development aid for diagnosing and verifying the operation of MCP implementations. It furnishes an interactive shell for testing the server's functionality without reliance on a complete AI client setup.
Launching the Inspector
To subject your Ethereum RPC server instance to inspection:
To invoke the Inspector utility: bash npx @modelcontextprotocol/inspector
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Input the registered command invocation details and script location.
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The Inspector will establish a link with the active MCP process and enumerate the accessible functional tools.
Operational Testing with Inspector
The Inspector environment facilitates several key validation actions:
- Surveying the complete roster of available tools and their explanatory summaries.
- Executing each utility with varied input arguments.
- Observing the resulting output in a structured, machine-readable format.
- Systematically troubleshooting any discovered discrepancies in the server's behavior.
For instance, testing the eth_getBalance capability:
1. Select the desired tool within the Inspector graphical interface.
2. Supply a verifiable Ethereum account identifier (e.g., 0xd8dA6BF26964aF9D7eEd9e03E53415D37aA96045 for the address associated with Vitalik Buterin).
3. Utilize the default block reference parameter (latest).
4. Trigger the request and analyze the returned data structure.
Consumer Integration
This data provisioning service can be seamlessly integrated with any application adhering to the MCP specification, including:
- Claude Desktop Environment
- Claude Code Editor
- Cursor IDE (Referenced integration methodology above)
- Cline Utility
- Various other MCP-compliant software frameworks
Upon successful linkage, the client application gains the ability to issue queries against the Ethereum ledger's data directly, utilizing the exposed tools.
Conceptualizing MCP
Model Context Protocol (MCP) represents an open, vendor-neutral specification enabling AI methodologies to interface with diverse external instruments and data repositories. It formalizes the methodology for exposing proprietary APIs, information sources, and backend logic to intelligent assistants.
Further MCP Education
Servers like this one contribute to a broader interoperability framework, allowing AI assistants to orchestrate intricate workflows spanning disparate services without requiring bespoke integration code for every single endpoint.
📚 Official Specification: Model Context Protocol Overview
Licensing Terms
Issued under the MIT License.
Community Involvement
We encourage external participation! Feel free to submit proposed enhancements via a Pull Request.
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