govin
2aff867641
The paper is written by a model now. A browser is the wrong client for that:
the work is "generate the paper, then put it in", and doing it through a form
means a person retyping what a model already produced. So the same domain is
served over the Model Context Protocol, which Claude Code, Codex and the
DeepSeek Harness all speak.
It is a third front door, not a second implementation. Every tool is three
lines around an `app.crud` call and validates through `app.schemas`, exactly
as the REST routes do, so a rule fixed in the CRUD layer is fixed on both
surfaces and a paper written by an agent is indistinguishable from one written
by hand. What `app/mcp/` adds is only what a model needs and a browser does
not:
- 29 tools, prefixed `paper_` `paragraph_` `sentence_` `template_` `field_`,
because a model picks a tool out of a list by name rather than by reading 29
descriptions;
- results as compact `None`-free JSON, since a tool result is paid for in
context tokens and `PaperRead.model_dump()` carries four counts and two
timestamps into every list row;
- paragraphs addressed by **heading** as well as by position. Storage is
correct as it stands — a sentence remembers the position it sits at, which is
what makes a template switch non-destructive — but nobody writing
"1. Introduction" knows the template places it at `sort = 20`. The server
translates, and refuses with the real heading list when it cannot, so a model
that guessed wrong corrects itself in one retry;
- `paper_write` and `paper_write_text`: one intention, one call. The latter
finds its own sections from Markdown headings or from lines that name a
template heading, and reports every heading it could not place instead of
writing half a paper;
- `sentence_search` across papers, for consistency rather than retrieval — a
paper that says 洪水损失 should not be joined by one that says GUL;
- `paper_delete` refuses once, naming what would go with it. A cascading delete
has no undo in a tool call.
Two transports, one build. `stdio` is what a client spawns — so nothing in the
process may print to stdout, and diagnostics go to stderr. `streamable-http` is
what a client on another machine connects to, optionally behind a bearer token;
binding a non-loopback address disables the SDK's DNS-rebinding allow-list,
because a LAN client sends whatever Host it knows the server by.
Tools register with `structured_output=False` on purpose: inferred from a
`-> str` annotation the SDK publishes a `{"result": ...}` envelope and sends
the JSON twice, once as `structuredContent` and once as text, and clients that
read only one of the two then disagree about what came back.
`scripts/smoke_mcp.py` drives the whole loop through a real MCP client — the
child process and JSON-RPC over stdin/stdout a client actually uses — and runs
unchanged against a running HTTP server via `--url`. 47 checks pass on both
transports; the REST suite still passes its 45.
26 lines
1.1 KiB
Python
26 lines
1.1 KiB
Python
"""The paper-doc MCP server: the same domain layer, spoken as MCP tools.
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Three front doors, one domain layer
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-----------------------------------
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The REST API (``app.api``), the MCP server (this package) and the seed script
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(``scripts/seed.py``) all end up in :mod:`app.crud` and validate through
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:mod:`app.schemas`. Nothing about a paper is decided here: a rule fixed in the
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CRUD layer is fixed in the API, in the tools and in the next tool added.
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What lives here is only what a *model* needs and a browser does not:
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* compact JSON instead of HTTP envelopes, because tool results are paid for in
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context tokens;
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* paragraphs addressed by **heading** as well as by position, because a model
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knows the paper says "1. Introduction" and does not know that the template
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happens to place it at ``sort = 20``;
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* a bulk write, because "generate the paper, then put it in" is one intention
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and should not be thirty round trips.
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Transports
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----------
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Both MCP transports are served from one build: ``stdio`` (what Claude Code,
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Codex and the Harness spawn locally) and ``streamable-http`` (what a client on
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another machine connects to). See ``scripts/mcp_server.py``.
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"""
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