mcp-stackexchange
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-stackexchangeshow me the top Stack Overflow questions about machine learning"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
mcp-stackexchange
StackExchange MCP — wraps the StackExchange API v2.3 (free, no auth required for read)
Part of Pipeworx — an MCP gateway connecting AI agents to 1476+ live data sources.
Tools
Tool | Description |
| Search for questions on StackOverflow or any StackExchange site. Returns title, body, score, answer count, tags, and link. |
| Get answers for a specific StackExchange question by ID. Returns answer body, score, and whether it is accepted. |
| 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). |
| 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. |
| 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" }) |
Related MCP server: stackoverflow-mcp-server
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 1476+ data sources. The
only difference is which pack's tools are listed directly; ask_pipeworx
reaches all of them from either one.
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
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
No tool schema history has been recorded yet.
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