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ucp-gen

Generate Universal Context Packages from real systems. Two sources are supported — GitHub issues and Jira tickets — and one command turns an issue with its comments, history and links into a validated, provenance-backed .ucp.json. By default no LLM is involved: the structure alone already carries the facts, decisions and timeline.

pip install ucp-gen

# GitHub (GITHUB_TOKEN optional, raises the API rate limit)
ucp-gen github vercel/next.js#12345 -o task.ucp.json

# Jira (Cloud: email + API token; Server/DC: personal access token)
export JIRA_BASE_URL=https://yourco.atlassian.net
export JIRA_EMAIL=you@yourco.com
export JIRA_API_TOKEN=...
ucp-gen jira PROJ-123 -o task.ucp.json

# canonical LLM rendering, capped at 1500 tokens
ucp-gen github owner/repo#42 --markdown --token-budget 1500

# include a "what changed since" diff (adds the ucp-temporal profile)
ucp-gen github owner/repo#42 --since 2026-06-01T00:00:00Z

# pretty-print any package in the terminal
ucp-gen view task.ucp.json

The CLI is built for humans: spinners while fetching, checkmarks per step, a summary tree after writing, rich --help with grouped options, and an interactive prompt when you omit the issue reference. Decorations go to stderr — stdout stays pure JSON/Markdown, so piping is always safe:

✓ pallets/flask#5961 — issue + 4 comments + 1 linked PRs
✓ valid ucp-core package — 6 sources, sha256-hashed
📦 wrote task.ucp.json
├── Flask 3.1.3 test breaks after Werkzeug update…
├── claims      7 must-know
├── decisions   1 (1 accepted)
├── sources     6
└── tokens      ~713 rendered

Coverage and decision dedup (0.3.1+)

Every package includes a coverage block: whether material was truncated, how many upstream artifacts were considered vs included, and per-stream counts (comments retrieved vs represented, timeline fetch limits). On mega-threads like microsoft/vscode#519 you get truncated: true with available: 596 even when only 200 comments were fetched.

When a merged linked PR exists, proposed decisions extracted from comment phrases like "we decided …" are dropped — the merged PR is the authoritative accepted signal (SPEC §4.11).

Optional LLM enhancement (--llm)

Structure tells you what happened; it cannot tell you which of 200 comments contains the key insight. --llm adds that layer with a single call to any OpenAI-compatible endpoint (OpenAI, kie.ai, OpenRouter, a LiteLLM proxy, local Ollama):

export UCP_LLM_BASE_URL=https://your-provider.example/v1   # any OpenAI-compatible URL
export UCP_LLM_API_KEY=...
export UCP_LLM_MODEL=your-model

ucp-gen github owner/repo#42 --llm -o task.ucp.json

What it changes: summary becomes a real synthesis of the whole thread (marked with confidence), comments the model flags as important get a salience boost, and decisions/conflicts stated in prose are extracted. Provenance survives: the model may only cite the source keys it was given — hallucinated citations are dropped, and every added claim still points at a real, hashed source. The model used is recorded in generator.llm_model. If the call fails, you get the structure-only package and a warning, never a broken one.

A real run on microsoft/vscode#519 (596 comments over ten years; 200 in the package, 17 sources, ~1,623 rendered tokens) shows the difference: the enriched summary explains why the feature was never built, a conflict captures the "Electron is at fault" vs "VS Code's hard-coded styles are at fault" dispute with both positions citing hashed comments, and a decision with status rejected records that the request is off the roadmap — none of which exists in any structured GitHub field.

What the mapping does

GitHub Jira UCP
title / state / assignee summary / status / assignee entity
first meaningful paragraph first meaningful paragraph summary
state, milestone, labels, PR states, comment gists status+resolution, priority, due date, fix versions, links, comment gists must_know claims with salience
merged linked PRs resolution decisions (accepted; supersedes proposed comment decisions)
"we decided" comments "we decided" comments decisions (proposed, unless merged PR exists)
issue timeline changelog history, and context_diff with --since
fetch limits / comment counts coverage (truncated honesty)
"is blocked by" links dependencies
linked PRs links, parent, subtasks related_objects
every cited issue / comment / PR every cited ticket / comment sources with URL + content hash

Every claim cites its sources; every source carries a sha256 content hash. The output always validates against the UCP schema before it is written — the generator will fail rather than emit an invalid package.

Feed the result to any UCP consumer, e.g. the reference MCP server:

pip install ucp-mcp
ucp-gen github owner/repo#42 -o ./contexts/task.ucp.json
ucp-mcp --dir ./contexts   # Cursor / Claude Code now sees the context

Development

pip install -e ".[dev]"
pytest

Part of the UCP reference toolchain (Apache 2.0).

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