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Stackexchange

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Wraps the StackExchange API v2.3 to enable reading StackExchange data (questions, answers, etc.) without authentication. Allows AI agents to query StackExchange

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Описание

Wraps the StackExchange API v2.3 to enable reading StackExchange data (questions, answers, etc.) without authentication. Allows AI agents to query StackExchange content through natural language or direct tool calls.

README

StackExchange MCP — wraps the StackExchange API v2.3 (free, no auth required for read)

Part of Pipeworx — an MCP gateway connecting AI agents to 1683+ live data sources.

Tools

Tool Description
search_questions Search for questions on StackOverflow or any StackExchange site. Returns title, body, score, answer count, tags, and link.
get_answers Get answers for a specific StackExchange question by ID. Returns answer body, score, and whether it is accepted.
stack_get_user Look up a StackExchange user by numeric ID. Returns display name, reputation, badges (gold/silver/bronze counts), location, website, account age, last access, and per-site activity counts (questions/answers). Works on any StackExchange site (default: stackoverflow).
list_questions_by_tag Browse questions by TAG, sorted by votes or recency — answers "top questions tagged ", "trending questions this week/month", "most-voted questions". Returns title, score, answer count, whether answered, view count, tags, and link (call get_answers with a returned question_id to read answers). Combine tags with ";" for AND (e.g. "kubernetes;helm"). Distinct from search_questions, which is keyword-based.
stack_tags List or search StackOverflow / StackExchange tags with question counts and synonym info — top tags by popularity, tags matching a name fragment, or stats for specific tags. Answers "most popular StackOverflow tags", "how many questions are tagged X", "which tags have more than N questions". Example: stack_tags({ sort: "popular", limit: 20 }) or stack_tags({ inname: "python" })

Quick Start

Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):

{
  "mcpServers": {
    "stackexchange": {
      "url": "https://gateway.pipeworx.io/stackexchange/mcp"
    }
  }
}

What this endpoint actually serves

tools/list at https://gateway.pipeworx.io/stackexchange/mcp returns the tools in the table above plus the shared Pipeworx meta-tools — ask_pipeworx, discover_tools, search_within, remember/recall and the rest of the gateway-wide set. So the tool count you see is larger than this table: a single-pack endpoint currently lists roughly 30 shared tools alongside the pack's own. The connection's initialize response states its exact scope, and is the authoritative answer for a given day.

This is deliberate, not multiplexing by accident. The meta-tools are what let a scoped connection answer a question this pack does not cover — via ask_pipeworx, which routes across the whole catalog — without you adding a second MCP server. There is currently no way to mount a pack endpoint without them; if the extra schemas cost you more context than the routing is worth, connect to the full gateway once rather than to several pack endpoints.

Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:

{
  "mcpServers": {
    "pipeworx": {
      "url": "https://gateway.pipeworx.io/mcp"
    }
  }
}

Both URLs reach the same gateway and the same 1683+ data sources. The only difference is which pack's tools are listed directly; ask_pipeworx reaches all of them from either one.

No MCP client? Call it over HTTP

curl -X POST https://gateway.pipeworx.io/v1/tools/stackexchange_search_questions \
  -H 'Content-Type: application/json' \
  -d '{"query":"python async await"}'

No account needed for the first calls. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/stackexchange_search_questions. Find one: POST https://gateway.pipeworx.io/v1/tools/search_packs with {"query":"..."}.

Standalone (no gateway account)

This package also runs as a local stdio MCP server — no Pipeworx account, no gateway round-trip:

{
  "mcpServers": {
    "stackexchange": {
      "command": "npx",
      "args": ["-y", "@pipeworx/mcp-stackexchange"]
    }
  }
}

Or run it directly to confirm it starts:

npx -y @pipeworx/mcp-stackexchange

It speaks MCP over stdin/stdout and answers initialize/tools/list/tools/call for only this pack's tools — none of the shared meta-tools the gateway connection above adds. Same source, same tools, no ask_pipeworx routing.

Using with ask_pipeworx

Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:

ask_pipeworx({ question: "your question about Stackexchange data" })

The gateway picks the right tool and fills the arguments automatically.

More

License

MIT

from github.com/pipeworx-io/mcp-stackexchange

Установить Stackexchange в Claude Desktop, Claude Code, Cursor

Рекомендуется · одна команда, все IDE
unyly install mcp-stackexchange

Ставит в Claude Desktop, Claude Code, Cursor и VS Code — сам разбирается с npx, uvx и сборкой из исходников.

Впервые? Поставь CLI: curl -fsSL https://unyly.org/install | sh

Или настроить вручную

Выполни в терминале:

claude mcp add mcp-stackexchange -- npx -y @pipeworx/mcp-stackexchange

Пошаговые гайды: как установить Stackexchange

FAQ

Stackexchange MCP бесплатный?

Да, Stackexchange MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Stackexchange?

Нет, Stackexchange работает без API-ключей и переменных окружения.

Stackexchange — hosted или self-hosted?

Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.

Как установить Stackexchange в Claude Desktop, Claude Code или Cursor?

Открой Stackexchange на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

Изменения

Версии и запрашиваемые доступы со временем.

  • Новая версия опубликована
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  • Новая версия опубликована

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