Dataset Join & Merge MCP Server

by nero-engine Your server? Claim it

answering

Dataset Join & Merge is answering right now. Last checked 2 min ago. It exposes 2 tools. Last commit 13 Sep 2026.

Join two lists of JSON rows on a key, like SQL or VLOOKUP: left, inner, full, anti joins, union.

Uptime history 51 days of history · worst day 93%

51 days agonow

100.0%

Uptime 24h

91 of 91 checks

Tools

read from the server

105 ms

Response time

average over 24h

Stars

last commit 13 Sep 2026

Nothing serious here today

Today is the operative word: we check Dataset Join & Merge every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 2 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add dataset-join-merge --transport http https://dataset-join-merge.nerolabs.workers.dev/mcp

Settings → Connectors → Add custom connector, then paste this address

https://dataset-join-merge.nerolabs.workers.dev/mcp

~/.codex/config.toml

[mcp_servers.dataset-join-merge]
url = "https://dataset-join-merge.nerolabs.workers.dev/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "dataset-join-merge": {
      "url": "https://dataset-join-merge.nerolabs.workers.dev/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "dataset-join-merge": {
      "type": "http",
      "url": "https://dataset-join-merge.nerolabs.workers.dev/mcp"
    }
  }
}

Available tools 2

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

capabilities

list_capabilities

Returns every join type, key matching mode, conflict strategy and fan-out mode this server supports, the fields it adds to each row, and the input and output row limits per call. Free, processes no data.

join

join_rows

Joins two lists of JSON rows on a shared key, like a SQL join or a spreadsheet VLOOKUP, and returns the combined rows plus a summary: how many rows matched on each side, match rates, and warnings for duplicate keys, rows missing the key and key fields that exist on no row. Use it to enrich a list with fields from a lookup table (left join), keep only the overlap (inner), combine two sources into one table (full), find rows in one list that are missing from the other (leftAnti or rightAnti), or stack two same-shape lists (union). Keys match case-insensitively with whitespace trimmed by default, and the key can have a different name on each side (email on the left, contact_email on the right). Input and output rows are capped per call; a many-to-many join that would exceed the output cap is refused with the predicted row count, never truncated. Call list_capabilities for the exact limits.

Endpoints

URL	Transport	State	Latency	Checked
https://dataset-join-merge.nerolabs.workers.dev/mcp	streamable-http	answering	59 ms	2 min ago

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Dataset Join & Merge — questions

Answers built from our own checks of this server.

What can Dataset Join & Merge do?

It exposes 2 tools, read directly from the server on our last check. Among them: join_rows, list_capabilities. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is Dataset Join & Merge working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 105 ms. The bar chart above shows every period we have measured.

How do I connect Dataset Join & Merge?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does Dataset Join & Merge need an API key?

No. Dataset Join & Merge completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 2 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is Dataset Join & Merge?

It answers our handshake in 105 ms on average, which is faster than 91% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.

Is Dataset Join & Merge open source?

We cannot say either way: 0 stars on GitHub, but we could not determine the licence, and without one the code is not open source by default.