MCP: add `update_document` so a coding agent can revise a plan it created
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@lavaman131 ya está trabajando en esto.
Desde el 21/9/2026.
Evaluación
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Descripción
Problem
The /mcp contract lets an external agent create_document, read_document, list_documents, rename_document, archive_document, and
restore_document, plus the experimental implementation lifecycle. None of these change a document's body after creation. rename_document is
explicitly scoped to the title and slug and leaves "canonical plan source, plan revision … intact."
The only actors that can revise plan content today are people in the browser and the hosted Planner via @chopin, which runs under a browser
user's GitHub App session and Copilot entitlement. An MCP bearer never becomes that owner, so a coding agent's relationship with a document is
write-once, read-many.
That is a good fit for "hand a settled conversation to the team," but it blocks the obvious next step: the same agent that drafted the plan wants
to fold in reviewer findings, a corrected signature, or a resolved open question without asking a human to paste the new text or re-prompt the
Planner. Creating a second document splits Decisions and Chat across two channels.
Proposal
Add one tool:
update_document
id document UUID (or canonical URL, like read_document)
revision integer — the plan revision the caller last read
plan full replacement MDX source
idempotencyKey string ≤128
Semantics:
- Optimistic concurrency. If
revisiondoes not match the current plan revision, return{ code: "revision-conflict", revision: <current> }
and change nothing. The caller re-reads and retries. This keeps a stale agent from silently overwriting edits people or the Planner made in the
meantime. - Same validation as create. Run the source through the existing
prepare/canonicalpath inapps/server/src/mcp/create.ts(parse →
mint missing component ids → serialize →validate→room.validate) and return{ issues }on failure, exactly ascreate_documentdoes. - Preserve durable state.
Questionnaire/Decisionblocks are server-owned projections of sidecar records. An update that drops or alters
an existing one should be refused (or the server should re-project them), so a rewrite cannot erase what the team decided — the same guarantee the
Planner's editing tools already provide. - Respect the graph lock. While an implementation run holds the graph
locked, refuse withdocument-locked, matching the existing rule
that "plan changes that would invalidate the claimed work" are refused during an active run. - Authorization. Push or admin access, same as
create_document. Idempotent replay with the same key returns the already-applied result. - Provenance. Record the MCP client and revision transition in the same place the Planner's edits are attributed, so the browser can show
"revised by agent" markers for the changed ranges.
Return the same document shape as read_document (id, title, source, revision, url).
Alternatives considered
- Patch-style edits (range or anchor based). Smaller payloads, but MDX offsets shift under concurrent Yjs edits and the dialect canonicalizer
rewrites the source anyway; a full-source replace guarded byrevisionis simpler and matches howcreate_documentalready treatsplan. - Let MCP callers trigger a Planner turn. Would need the bearer to acquire Copilot ownership, which the ownership model deliberately avoids.
- Archive and recreate. Loses the channel's Chat, Decisions, and any child research documents.
Notes
apps/server/src/mcp.ts already dispatches per tool with additionalProperties: false schemas and outcome codes, and rename_document shows
the shape of a "mutate one field with conflict codes" tool, so this looks like a contained addition rather than a new subsystem. Happy to help test
against a self-hosted instance.
- Lenguaje dominante
- TypeScript
- Estrellas
- 351
- Forks
- 20
- Merge medio
- 19 h 30 min
- PR fusionados (30 d)
- 23
Preparar el entorno
Aún no hemos revisado los archivos de configuración de este proyecto. Empieza por su README y consulta nuestra guía para la primera contribución para los pasos generales.
Primeros pasos
- Lee el issue completo y luego la guía de contribución del proyecto.
- Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
- Haz un fork del repositorio y trabaja en una rama.
- Abre un pull request que haga referencia al número del issue.
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