README.md

metadata

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, 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

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. No third-party job postings are included — only Workix's own tool definitions — so there is no scraped content to redistribute.

Regenerate:

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 · workix.co.