SkillTide Submit
Official description7 sourcesMCP servers8d ago
BrightbeamAI/chap

BrightbeamAI/chap

CHAP Coordinator for auditable human-a
View on GitHub ↗Direct link · no redirect page
Config template (adjust for your client)
claude mcp add chap -- npx -y chap
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
110 ★ · BrightbeamAI/chap · read from the repository page · (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history
first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
Score
score 703 · 110 ★ · 7 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository BrightbeamAI/chap;first catalogued 2026-10-09;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
Third-party quality signals

Collaborative Human-Agent Protocol (CHAP)

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

The open protocol for humans and agents doing accountable work together.
CHAP gives approvals, overrides, handoffs and escalations one shared, auditable shape across MCP and A2A.
Start here ·
Concepts ·
Install ·
90-second tour ·
MCP quickstart ·
Scenarios ·
Implementations ·
Wiki ·
Discussions ·
Paper
---
---
Work is moving towards teams in which hundreds of agents and hundreds of people take part. Agents draft, triage and recommend; people approve, correct, overrule and escalate. Those human decisions make the work accountable, yet they are usually recorded only in chat threads, ticket comments and memory.
CHAP gives those decisions a defined structure and an auditable record: what the agent produced, what the person decided and why, in one log that can be queried and verified.
- **Structured overrides.** When a person edits an agent's work, the edit is recorded with a diff, a rationale and tags your team defines, so corrections can be analysed later.
- **A tamper-evident log.** Every change is recorded in order. With the hash chain on, an altered entry is detected on verification, provided a recent chain head is kept out of the operator's reach (SECURITY.md §5). The history survives key rotation, expired vendor logs and staff changes.
- **Signatures and identity.** Optional extensions, called profiles, require every call to be signed, bind signing keys to verified identities, and submit entries to a transparency log.
- **Alongside MCP and A2A.** MCP connects agents to tools and A2A connects agents to each other; CHAP records the work agents share with people.
Concepts
CHAP is a protocol: a set of calls that agents, people and their tools send to a **coordinator**, the service that mediates a workspace. The coordinator checks each call against the workspace's rules, answers it, and records each accepted change in the workspace's audit log. The TypeScript and Python packages below are coordinators, to embed in your own process or run as a server.
| Term | What it is |
|---|---|
| **Workspace** | A named context for one body of work: its members, its tasks, and the profiles it uses |
| **Participant** | A member, named by a URI such as human:alice@example.org or agent:triage; group: names a set of members |
| **Task** | A unit of work, assigned to a participant |
| **Artefact** | What a participant produces in a task: a draft, a decision, an override |
| **Envelope** | One call, as a JSON-RPC 2.0 message; its method is the verb, such as task.create or decide.approve |
| **Audit log** | The ordered record of every change to the workspace; with the hash chain on, each entry carries the hash of the one before it |
The verbs read as their names. A task is created, completed and sent for review (task.create, task.complete, review.request). A reviewer approves, rejects or overrides it (decide.approve, decide.reject, decide.override). Work is handed off or escalated (handoff.propose, escalate.raise), and audit.read returns the record.
**Core and profiles.** Every coordinator implements **Core** (core/1.0): workspaces, participants, tasks and the audit log. Everything else is an optional **profile**, named with its version. review/1.0 adds review requests and decisions. Others add quick questions to a person (whisper/1.0), group votes (deliberation/1.0), handoffs (handoff/1.0), pausing and rollback (control/1.0), routing (routing/1.0), shadow and trial modes (modes/1.0), signed calls (security-signed/1.0), verified identities (identity-oidc/1.0, identity-vc/1.0) and a transparency log (audit-scitt/1.0). A workspace advertises the profiles it uses, and the coordinator refuses calls that belong to any other profile. core/SPEC.md fits Core on one page, profiles/PROFILES.md lists the profiles, and GLOSSARY.md defines every term.
Source
awesome · https://github.com/BrightbeamAI/chap
Browse by field
MCP servers
Traction
110 ★
added
yesterday

More in MCP servers

All 5,525 in MCP servers →

Filed under

Every tag opens the full list for that filter. Counts are the live catalogue figures.

Browse all fields →

← Back to index