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以太坊 RPC MCP 服务器

用于与以太坊区块链交互的模型上下文协议 (MCP) 服务器。

概述

该 MCP 服务器提供通过标准 JSON-RPC 方法查询以太坊区块链数据的工具。它使 AI 助手和应用程序能够通过标准化协议与以太坊区块链进行交互。

Related MCP server: Geth MCP Proxy

特征

该 MCP 服务器提供了三种关键的以太坊 RPC 方法作为工具:

  • eth_getCode :检索特定以太坊地址的代码

  • eth_gasPrice :获取以太坊网络上的当前 gas 价格

  • eth_getBalance :检查以太坊账户的余额

注:更多内容即将推出

用法

添加到光标

要将此 MCP 添加到 Cursor:

  1. 首先,克隆此存储库:

    git clone https://github.com/yourusername/eth-mpc.git
  2. 前往 Cursor 设置 → MCP → 添加新的 MCP 服务器

  3. 输入名称(例如“eth-mcp”)

  4. 选择“命令”作为类型

  5. 输入脚本的完整路径:

    node /path/to/eth-mpc/index.js

将以太坊 MCP 添加到 Cursor

  1. 点击“添加”以启用服务器

一旦添加,以太坊 RPC 工具将可在 Cursor 中使用。

该服务器使用 stdio 传输,使其与 Claude Desktop、Cursor 等 MCP 客户端兼容。

使用 MCP Inspector 进行测试

MCP Inspector 是一款用于测试和调试 MCP 服务器的开发工具。它提供了一个交互式界面,无需完整的 AI 客户端即可测试 MCP 服务器的功能。

运行检查器

要使用检查器测试您的以太坊 RPC MCP 服务器:

要运行检查器:

npx @modelcontextprotocol/inspector
  1. 输入命令和路径

  2. 检查器将连接到您正在运行的 MCP 服务器并显示可用的工具。

使用 Inspector 测试工具

检查器允许您:

  • 查看可用的工具及其描述

  • 使用不同的参数测试每个工具

  • 以结构化格式查看回复

  • 调试 MCP 服务器实施过程中的任何问题

例如,要测试eth_getBalance工具:

  1. 在检查器界面中选择工具

  2. 输入有效的以太坊地址(例如, 0xd8dA6BF26964aF9D7eEd9e03E53415D37aA96045 - Vitalik 的地址)

  3. 使用默认区块参数( latest )

  4. 提交请求并查看响应

与 MCP 客户端集成

该 MCP 服务器可以与任何兼容 MCP 的客户端集成,包括:

  • 克劳德桌面

  • 克劳德·科德

  • 光标(上面的说明)

  • 克莱恩

  • 其他 MCP 兼容应用程序

集成后,客户端应用程序可以使用该服务器提供的工具直接查询以太坊区块链数据。

了解 MCP

模型上下文协议 (MCP) 是一项开放标准,允许 AI 模型与各种工具和服务进行交互。它为开发者提供了一种标准化的方式,可以向 AI 助手公开 API、数据源和功能。

了解有关 MCP 的更多信息

像这样的 MCP 服务器构成了生态系统的一部分,允许 AI 助手跨多个服务执行复杂任务,而无需为每个服务进行定制集成。

📚官方文档:模型上下文协议概述

执照

麻省理工学院

贡献

欢迎贡献代码!欢迎提交 Pull 请求。

Available Tools

3 tools
eth_gasPriceA

Retrieves the current gas price in wei

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

TDQS

A3.9/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It discloses the tool's behavior as a retrieval operation, which implies it's read-only and non-destructive. However, it lacks details on potential rate limits, error conditions, or response format, which would enhance transparency for a tool with no annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that directly states the tool's purpose without any unnecessary words. It is appropriately sized and front-loaded, making it easy to understand quickly with zero waste.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (0 parameters, no annotations, no output schema), the description is minimally adequate. It explains what the tool does but lacks details on return values or behavioral nuances. For a retrieval tool with no structured output information, it could benefit from specifying the response format to be more complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0 parameters with 100% coverage, so the schema fully documents the absence of inputs. The description adds no parameter information, which is appropriate here. Baseline is 4 for 0 parameters, as no compensation is needed for schema gaps.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the specific action ('Retrieves') and resource ('current gas price in wei'), distinguishing it from sibling tools like eth_getBalance (which retrieves account balance) and eth_getCode (which retrieves contract code). It precisely defines what the tool does without being vague or tautological.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage context by specifying 'current gas price,' suggesting it should be used when needing real-time gas price information. However, it does not explicitly state when to use this tool versus alternatives or provide any exclusions, leaving some ambiguity about optimal use cases.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

eth_getBalanceC

Retrieves the balance of a given Ethereum address

ParametersJSON Schema
NameRequiredDescriptionDefault
addressYesThe Ethereum address to check balance
blockParameterNoBlock parameter (default: "latest")latest

TDQS

C2.9/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the action ('retrieves') but fails to add context such as read-only nature, potential rate limits, authentication needs, or error conditions. This leaves significant gaps in understanding the tool's behavior beyond basic functionality.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, clear sentence that directly states the tool's purpose without unnecessary words. It is front-loaded and efficiently conveys the core functionality, making it highly concise and well-structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the absence of annotations and output schema, the description is incomplete for a tool with two parameters and no behavioral context. It adequately states what the tool does but lacks details on usage, behavioral traits, or return values, which are crucial for effective agent operation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema description coverage is 100%, meaning the input schema already fully documents the parameters (address and blockParameter). The description does not add any additional meaning or clarification beyond what the schema provides, so it meets the baseline for adequate but unenhanced parameter semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('retrieves') and resource ('balance of a given Ethereum address'), making the purpose specific and understandable. However, it doesn't explicitly differentiate from sibling tools like eth_gasPrice or eth_getCode, which prevents a perfect score.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives or any contextual prerequisites. It lacks explicit usage scenarios, exclusions, or comparisons to sibling tools, leaving the agent without direction on tool selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

eth_getCodeC

Retrieves the code at a given Ethereum address

ParametersJSON Schema
NameRequiredDescriptionDefault
addressYesThe Ethereum address to get code from
blockParameterNoBlock parameter (default: "latest")latest

TDQS

C2.9/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool retrieves code but doesn't mention whether this is a read-only operation (implied but not explicit), potential rate limits, error conditions (e.g., invalid address), or what 'code' entails (e.g., bytecode, source code). This leaves significant gaps for a tool interacting with blockchain data.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that directly states the tool's function without unnecessary words. It's appropriately sized and front-loaded, making it easy to parse quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity of Ethereum interactions and lack of annotations or output schema, the description is incomplete. It doesn't explain return values (e.g., hex-encoded bytecode), error handling, or behavioral traits like idempotency. For a tool with no structured safety or output information, more context is needed.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 100% description coverage, clearly documenting both parameters (address and blockParameter). The description adds no additional meaning beyond this, such as explaining why blockParameter matters or address format nuances. Baseline 3 is appropriate since the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('retrieves') and resource ('code at a given Ethereum address'), making the tool's purpose understandable. However, it doesn't differentiate from sibling tools like eth_getBalance (which retrieves balance rather than code), so it doesn't reach the highest score.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives like eth_getBalance or eth_gasPrice. It lacks context about typical use cases (e.g., verifying contract deployment, analyzing smart contracts) or prerequisites, leaving the agent without usage direction.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 3 tool updatesv1.0.0
    • Addedeth_gasPrice
    • Addedeth_getBalance
    • Addedeth_getCode

TDQS

B3.2/5.0

Scored across 3 tools

Disambiguation5/5

Each tool has a clearly distinct purpose: eth_gasPrice retrieves network gas price, eth_getBalance retrieves account balance, and eth_getCode retrieves contract code. There is no overlap or ambiguity between these functions, making tool selection straightforward for an agent.

Naming Consistency5/5

All tool names follow a consistent eth_verbNoun pattern (eth_gasPrice, eth_getBalance, eth_getCode), using snake_case and the same prefix. This predictable naming scheme enhances readability and agent usability without any deviations.

Tool Count2/5

With only 3 tools, this server feels thin for an Ethereum RPC server, as it lacks core operations like sending transactions, querying blocks, or checking transaction status. The count is too low for the apparent scope of Ethereum interaction, limiting functionality.

Completeness2/5

The tool surface is severely incomplete for an Ethereum RPC domain. It includes only read-only queries (gas price, balance, code) but omits essential operations such as eth_sendTransaction, eth_getTransactionByHash, or eth_blockNumber, creating significant gaps that will cause agent failures in typical workflows.

Maintenance

ActivityInactive
ResponsivenessUnresponsive

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