Effect Q&A MCP Server

Effect Q&A MCP Server

Fetches category data from a Q&A service API and returns a markdown summary grouped by category.

Category
访问服务器

README

Effect Q&A MCP Server

A Model Context Protocol (MCP) server that exposes a single tool: get-categories-summary. Fetches category data from a Q&A service API and returns a markdown summary grouped by category.


Quick Start

# Install dependencies
bun install

# Start the MCP server (requires QA_SERVICE_URL)
QA_SERVICE_URL=https://your-qa-api.example.com bun run index.ts

# Run tests
bun run test

# Type-check
npx tsc --noEmit

# Format code
bun run fmt

Architecture Overview

Component Diagram

graph TB
    subgraph "MCP Client"
        Client[MCP Client<br/>(Claude, Cursor, etc.)]
    end

    subgraph "MCP Server Process"
        Server[McpServer.layerHttp<br/>:3000/mcp]
        Tool[get-categories-summary<br/>Tool Handler]
        ApiClient[ApiClient Service<br/>fetchCategories]
        HttpClient[NodeHttpClient.layer<br/>Platform HTTP]
    end

    subgraph "External"
        QA_API[Q&A Service API<br/>GET /api/v1/categories]
    end

    Client <-- MCP over HTTP --> Server
    Server --> Tool
    Tool --> ApiClient
    ApiClient --> HttpClient
    HttpClient --> QA_API

Layer Stack (Inner → Outer)

The server is composed as an Effect Layer stack. Each layer provides services to the layers above it.

graph TB
    subgraph "Layer Stack"
        L5[Layer 5: registerTool<br/>Tool Registration]
        L4[Layer 4: ApiClient.Default<br/>Q&A API Client]
        L3[Layer 3: McpServer.layerHttp<br/>MCP Protocol @ /mcp]
        L2[Layer 2: NodeHttpServer.layer<br/>Node HTTP Server]
        L1[Layer 1: NodeHttpClient.layer<br/>Platform HTTP Transport]
    end

    L1 --> L2
    L2 --> L3
    L3 --> L4
    L4 --> L5

    style L1 fill:#f9f,stroke:#333
    style L2 fill:#bbf,stroke:#333
    style L3 fill:#bfb,stroke:#333
    style L4 fill:#ff9,stroke:#333
    style L5 fill:#f96,stroke:#333
Layer Responsibility Provides
1. NodeHttpClient.layer Platform HTTP transport (fetch, connections, pooling) HttpClient.HttpClient
2. NodeHttpServer.layer Node.js HTTP server listening on MCP_PORT (default 3000) HttpServer.HttpServer
3. McpServer.layerHttp MCP protocol handler at /mcp endpoint McpServer.McpServer
4. ApiClient.Default Q&A API client with config (QA_SERVICE_URL, QA_API_KEY) ApiClient
5. registerTool Wires get-categories-summary handler to MCP server — (side effect)

Module Structure

src/
├── index.ts       — MCP server setup, layer composition, entry point
├── api-client.ts  — Effect.Service for Q&A API (errors, HTTP adapter)
├── summary.ts     — Pure function: Category[] → markdown string
├── types.ts       — Effect Schema definitions (Category, CategoriesResponse)
└── services.ts    — Reserved for future top-level services
test/
├── index.test.ts      — buildSummary tests + handler with nock
└── summary.test.ts    — buildSummary edge cases

Data Flow

sequenceDiagram
    participant Client as MCP Client
    participant Server as MCP Server
    participant Tool as get-categories-summary
    participant ApiClient as ApiClient
    participant HttpClient as HttpClient
    participant QA as Q&A API

    Client->>Server: POST /mcp {method: "tools/call", params: {name: "get-categories-summary"}}
    Server->>Tool: invoke handler
    Tool->>ApiClient: fetchCategories()
    ApiClient->>HttpClient: execute GET /api/v1/categories
    HttpClient->>QA: HTTP Request
    QA-->>HttpClient: 200 OK {data: [...]}
    HttpClient-->>ApiClient: HttpClientResponse
    ApiClient->>ApiClient: filterStatusOk → decode JSON → Schema.decode
    ApiClient-->>Tool: CategoriesResponse
    Tool->>Tool: buildSummary(categories.data)
    Tool-->>Server: CallToolResult {content: [TextContent]}
    Server-->>Client: MCP Response

Configuration

Environment Variable Required Description
QA_SERVICE_URL Yes Base URL of Q&A API (e.g., https://qa.example.com)
QA_API_KEY No Bearer token for authenticated requests
MCP_PORT No HTTP listen port (default: 3000)

Error Handling

The tool handler folds all errors into CallToolResult with isError: true:

Error Type Trigger User-Facing Message
HttpError Non-2xx HTTP status Error fetching categories: HTTP <status>
DecodeError Schema validation failed Error fetching categories: unexpected response format — <details>
UnknownError Transport/DNS/timeout/JSON parse Error fetching categories: <message>

Tool Specification

get-categories-summary

  • Description: Fetches categories from the Q&A service and returns a narrative summary grouped by category
  • Input: None (empty object)
  • Annotations: readOnlyHint: true — clients may cache/replay
  • Output: Markdown string via TextContent

Example Output:

Found 3 categories across 2 groups.

## bugs (2)

- **Login Issue**: Cannot log in
- **Crash**: App crashes on start

## features (1)

- **Dark Mode**: Add dark theme

Testing

# Unit tests (pure functions)
bun run test

# With coverage
bun run test:coverage

Test strategy:

  • buildSummary — pure function tests (empty, single, multi-category)
  • Handler — integration test with nock intercepting HTTP to QA_SERVICE_URL

Development

# Format check
bun run fmt:check

# Type-check
npx tsc --noEmit

# Regenerate docs
bun run docs

Dependencies

Runtime

  • @effect/ai — MCP server implementation
  • @effect/platform-node — Node.js platform layers (HTTP client/server)
  • effect — Core Effect-TS (services, layers, schemas, errors)

Dev

  • @effect/vitest — Effect-native testing (it.effect, assert)
  • nock — HTTP mocking for integration tests
  • oxfmt — Formatter (printWidth 120, no semicolons)
  • @effect/language-service — IDE support via tsconfig plugin

License

Private — internal tooling.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选