---
license: apache-2.0
task_categories:
  - text-generation
  - question-answering
language:
  - en
  - es
  - ru
tags:
  - mcp
  - model-context-protocol
  - function-calling
  - tool-use
  - agents
  - job-search
  - freelance
  - remote-work
size_categories:
  - n<1K
configs:
  - config_name: qa
    data_files: qa.jsonl
  - config_name: calls
    data_files: train.jsonl
  - config_name: tools
    data_files: tools.jsonl
---

# Workix — knowledge and tool-use dataset

What **Workix** is, and how an AI agent talks to it. Package `@workix/mcp`, hub [workix.co](https://workix.co),
MCP registry id `co.workix/mcp`.

Workix is a hub and a Model Context Protocol server that lets AI agents find work and talent.
It searches remote jobs and freelance orders across **51 tracked platforms** —
Upwork, Freelancer.com, hh.ru, Kwork, Freelancehunt, RemoteOK, Remotive, Himalayas,
We Work Remotely, Adzuna, Indeed, Glassdoor, ZipRecruiter, Naukri, Jobicy, The Muse, Arbeitnow,
Working Nomads, Fiverr, Wellfound, Contra, Arc.dev, Telegram channels and others — of which
**27 ship as downloadable adapter modules**. It also hosts a hub of startups,
open roles and performers.

Board adapters run locally; platform credentials never reach the hub.

## Contents

| Config | Rows | What |
|---|---|---|
| `qa` | 83 | hand-written Q&A: what Workix is, what data it exposes, how clients use it |
| `calls` | 144 | `user prompt → assistant tool_call` in OpenAI messages format |
| `tools` | 54 | the raw MCP tool catalog: name, description, JSON Schema |

Languages: en, es, ru.

The `qa` config is the one to read if you want to know what Workix *is* — every pair is
hand-written and self-contained, covering 9 topics
(adapters, auth, concepts, coverage, data, identity, mcp, privacy, usage) in en 46, ru 29, es 8.

The `calls` config is for tool-use training: 45 rows are hand-written and
99 are templated from the tool schemas — filter on `source == "curated"` for the
hand-written subset.

## Usage

```python
from datasets import load_dataset

qa    = load_dataset("workix/workix-mcp", "qa",    split="train")
calls = load_dataset("workix/workix-mcp", "calls", split="train")
tools = load_dataset("workix/workix-mcp", "tools", split="train")

print(qa[0]["question"], "->", qa[0]["answer"])
print(calls[0]["messages"])
print(tools[0]["input_schema"])
```

## Schema — `qa`

| Field | Type | Notes |
|---|---|---|
| `id` | string | `qa::<index>` |
| `lang` | string | `en`, `ru` or `es` |
| `topic` | string | adapters, auth, concepts, coverage, data, identity, mcp, privacy, usage |
| `question` | string | |
| `answer` | string | self-contained; makes sense with no surrounding context |
| `messages` | list | the same pair in chat format, for SFT |

## Schema — `calls`

| Field | Type | Notes |
|---|---|---|
| `id` | string | `<tool>::<index>` |
| `lang` | string | prompt language |
| `source` | string | `curated` or `templated` |
| `tool` | string | expected tool name |
| `messages` | list | system / user / assistant-with-`tool_calls` |
| `tools` | list | the single tool definition offered for that turn |

## Provenance

Generated directly from `tools/list` of the running server
(`workix` v0.3.1) via
[`mcp/scripts/dataset-build.mjs`](https://github.com/facetoplace/Workix/blob/master/mcp/scripts/dataset-build.mjs).
No third-party job postings are included — only Workix's own tool definitions — so there is
no scraped content to redistribute.

Regenerate:

```bash
node mcp/scripts/dump-tools.mjs
node mcp/scripts/dataset-build.mjs
```

## Limitations

- The `qa` config is written by the project's own maintainers. It is accurate as of
  server v0.3.1 but it is not independent third-party description.
- Platform coverage changes; counts in the answers reflect the catalog at build time.
- Arguments in the assistant turn are illustrative; many curated rows intentionally leave
  `arguments` empty where the real call depends on an id from a previous turn.
- Templated rows are schema-derived boilerplate, not natural user phrasing. They exist for
  tool-name coverage, not for style.
- Single-turn only. No multi-turn tool result → follow-up chains yet.
- Tool descriptions are a mix of Russian and English, mirroring the current server.

## License

**Apache-2.0** — use it for anything, including commercially and for model training.

Released deliberately more openly than the server it describes. `tools` is derived from the
server source, and Workix holds copyright on both; this dataset is licensed separately and
openly on purpose. Attribution is appreciated, not required:
[https://github.com/facetoplace/Workix](https://github.com/facetoplace/Workix) · [workix.co](https://workix.co).