license: apache-2.0
language:
- en
pretty_name: DCP v1 Conformance Corpus
tags:
- json-schema
- validation
- conformance
- ai-agents
- multi-agent
- agent-protocols
- interoperability
size_categories:
- n<1K
configs:
- config_name: default
data_files: cases.jsonl
DCP v1 Conformance Corpus
The official, language-neutral conformance test corpus of the Development Coordination Protocol (DCP) — an open, vendor-neutral vocabulary for exchanging project-coordination events (a task completed, a decision recorded, a finding raised…) between AI agents and humans.
A DCP implementation, in any language, is conformant when it accepts every accept case and rejects every reject case in this corpus, validating each payload as a DcpMessage against the DCP v1 JSON Schemas (JSON Schema 2020-12) plus the one cross-field rule schemas cannot express: message_type must equal <body.entity_type>.<body.verb> — on conflict, the body wins and the message is malformed.
Contents
cases.jsonl— all 25 cases (7 accept / 18 reject), one JSON object per line:case,file,expect(accept/reject),schema,note(what the case probes), and the fullpayload.corpus/— the same corpus in its original layout:valid/,invalid/, andmanifest.json(the machine-readable case list an implementation iterates).
Quick start
from datasets import load_dataset
cases = load_dataset("DevCoPro/dcp-conformance-corpus", split="train")
for case in cases:
result = my_validator(case["payload"]) # your implementation
assert result.ok == (case["expect"] == "accept"), case["case"]
Or language-neutral, straight from the original layout: iterate corpus/manifest.json, validate each file against the schema base https://schemas.devcopro.org/v1/, and compare with expect.
What DCP is (and deliberately is not)
DCP standardizes what changed in a project — over a closed set of 8 coordination entities (Project, Task, Dependency, ArchitectureImpact, Decision, ReviewRequest, Finding, Milestone) with an open verb vocabulary. Its prime directive: "DCP carries no trust; it describes project-state changes only." It never authenticates, routes, plans, schedules, or executes — those belong to other layers, which is exactly why it composes with the rest of the 2026 agent-protocol stack:
- CloudEvents binding (normative) — a
DcpMessagerides unchanged as CEdata. - A2A community extension — DCP events in an A2A DataPart.
- MCP connects agents to tools; DCP is the payload vocabulary for the coordination conversation itself.
Links
- Spec & docs: https://devcopro.org · Specification · Quickstart
- Source repository: https://github.com/TokonoMix/development-coordination-protocol (Apache-2.0 / CC-BY-4.0)
- Canonical schemas: https://schemas.devcopro.org/v1/dcp-message.schema.json (offline bundle + SHA256SUMS available)
Citation
@misc{dcp-conformance-corpus,
title = {DCP v1 Conformance Corpus},
author = {{InterIP Networks}},
year = {2026},
url = {https://huggingface.co/datasets/DevCoPro/dcp-conformance-corpus},
note = {Conformance test corpus for the Development Coordination Protocol v1.0.0-draft}
}
Maintained by Mesut Kalkan (founding maintainer, InterIP Networks). Licensed Apache-2.0, same as the DCP schemas and examples.