WalnutLink A-share Depth Desk

ai.walnutlinkPublished by walnutlink.aiOfficial publisherv1.3.0Updated Oct 26, 2026

China A-share filings: why a number moved, does the trend continue, who supplies whom.

VerifiedStreamable HTTPWeb executableFinanceKnowledge & Memory

Overview

AI-generated overview

Remote research desk that explains why a Chinese A-share company's numbers moved, sourcing answers to filed reports and IR transcripts.

What you can do
  • Ask why a margin, cash flow or inventory line moved, or what a policy means for a listed company's P&L
  • Trace supply, competition and equity relationships between two Chinese companies, each with a verbatim quote from a filed document
  • Retrieve a research answer by the id returned earlier, to check queue status or fetch the full text with its source line
When to use it
Use it when a question is about the reason behind a Chinese listed company's reported figures, management's on-record comments, policy impact, or how two companies in a chain relate. It is not for live quotes, valuation snapshots, target prices or buy/sell calls.
Requirements
A remote Streamable HTTP endpoint; no authentication is required to ask. Answers are produced by a human-plus-agent loop, so a new question may return a queue position and an id that must be polled later. Identity only affects queue position and daily quota.
Before you install
The first question is free; afterwards one ticket per question is needed, obtained by leaving something public on the site or visiting daily. Questions and their context are sent to a third-party service. Answers can take minutes to hours, and some questions come back as unanswerable rather than estimated.

Installation

In SourceWeft

  1. Open WalnutLink A-share Depth Desk in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/ai.walnutlink%2Fwalnutlink-a-share/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "walnutlink-a-share-depth-desk": {
      "type": "http",
      "url": "https://walnutlink.ai/mcp"
    }
  }
}

README

WalnutLink A-share Depth Desk

An MCP server that answers why something moved in a Chinese listed company — and refuses to answer anything a quote app already tells you.

Endpoint: https://walnutlink.ai/mcp (Streamable HTTP, no auth for read)

What it is for

A language model already knows the price. What it does not know is why the gross margin dropped 1.6 points last quarter, which line of the filing moved, and whether the number came from the consolidated statement or the parent-company one.

This desk reads the filed report, the IR transcript and the disclosure wording, then answers in numbers with the page or announcement number attached.

Use it for:

  • a margin, cash flow or inventory line that moved and the reason behind it
  • what management actually said on the record, quoted from the transcript
  • a policy that landed and which line of which company's P&L it hits
  • two companies in the same chain diverging, and which line explains the gap
  • an industry-chain shift (HBM, 1.6T optics, domestic equipment) traced to filings

Do not use it for:

  • current price, change percent, PE, PB, market cap, turnover — the server returns 410 gone_by_design for these, on purpose
  • buy/sell recommendations, target prices, stop losses — it will not produce them
  • index-level point predictions

That refusal is the product. Depth is the only thing here worth paying attention to.

Tools

a_share_deep_research

json
{  "name": "a_share_deep_research",  "arguments": { "question": "为什么海康威视2026Q3单季毛利率环比下降了？" }}

Returns one of three things:

CaseWhat comes back
This question was researched beforethe vetted answer, immediately, with sources
It was not, but the primary evidence is already heldthe evidence plus an id for the human answer
Neithera queue position (你排第 3 位，大约 15 分钟) and an id

Answers are written by a human-plus-agent loop that reads primary sources, then pass four gates before publication: length, presence of a source line, no buy/sell language, at least one number. Answers that fail get reworked. Questions that cannot be answered from a primary source after four hours come back with an explicit "I could not answer this" rather than a guess.

a_share_answer_by_id

json
{ "name": "a_share_answer_by_id", "arguments": { "id": "dc037a7fc6c8" } }

Fetch that answer. While the question is still queued it returns the queue position (排第 2 位，大约 10 分钟) and explicitly says it is not an answer yet; once it is done it returns the full text with the source line. No credentials, no polling subscription, no HTML page to open.

This exists because of a review, not a plan: Glama scored the single-tool version A / 4.3 and marked Completeness down to 3/5 with one sentence — "it returns an id for a human answer with no tool to fetch that answer." That was correct. An automated client that cannot render HTML was handed a dead end.

Connect

Claude / Cursor / Cline / any MCP client with remote HTTP support

json
{  "mcpServers": {    "walnutlink-a-share": {      "url": "https://walnutlink.ai/mcp"    }  }}

Streamable HTTP, protocol versions 2025-06-18, 2025-03-26, 2024-11-05.

Also available over plain REST for platforms that cannot speak MCP: POST https://walnutlink.ai/api/ask — see https://walnutlink.ai/openapi.json.

Contracts

  • No auth is required to ask. Identity (WalnutLink Passport, Ed25519, self-issued) only affects queue position and daily quota.
  • First question is free. After that, one ticket per question; a ticket comes from leaving something public on the site, or from showing up daily.
  • Every answer carries a source line: company name, document, date, announcement number.
  • If a number cannot be traced to a filing, it is not published.

Machine-readable rules: https://walnutlink.ai/skill.md · https://walnutlink.ai/llms.txt

Registry

Published on the official MCP Registry as ai.walnutlink/walnutlink-a-share (versions 1.0.0, 1.1.0). DNS-verified against walnutlink.ai:

walnutlink.ai. TXT "v=MCPv1; k=ed25519; p=6XlUMDN+DQZgtWbv2NJiQrEFx0YilaqplkIYAsA3+5g="

Static server card: https://walnutlink.ai/.well-known/mcp/server-card.json

License

MIT. See LICENSE.

The answers themselves are research output, not software, and carry no warranty. Nothing here is investment advice.

Source: README.md at commit 8bbd51a

Tools

3

a_share_deep_research

Use when the user asks WHY something happened or WHAT it means for a Chinese listed company: a margin moved, a policy landed, an industry chain shifted, two companies diverge, or what management actually said on the record. This desk does NOT serve quotes, price checks or valuation snapshots - that is commodity data available everywhere, and answering it would waste your turn. What it does: reads the filed report, the IR transcript and the disclosure wording, then answers in numbers. Returns a vetted answer immediately if this question has been researched before; otherwise it returns the primary-source evidence it already holds plus an id for the human answer. Ask it the question you would ask a sell-side analyst, not the one you would type into a quote app.

Parametersquestionrequired

a_share_chain_edge

Use when the user asks HOW two Chinese companies relate: who supplies whom, who competes with whom, who owns equity in whom, or whether an acquisition target overlaps with the acquirer's product line. Every relationship returned carries a verbatim quote from a filed document (annual report, prospectus, restructuring draft, related-party announcement) and a confidence tag: primary = the filing says it outright, secondary = broker or media, inferred = our deduction with no direct textual proof. Unlisted companies work as inputs too, which matters for acquisition targets. If the pair has not been researched it says so plainly instead of guessing - absence of a record is not evidence of no relationship. Do NOT call this for prices, valuation or index levels.

Parametersarequiredbrequiredrelation

a_share_answer_by_id

Retrieve a research result by the id that a_share_deep_research returned. Call this to check whether the human-reviewed answer is ready, or to fetch the full text once it is. Answers take minutes to hours because a filed report is read first; while it is still queued the tool returns the queue position, not a guess. Use this instead of opening the public page when you are an automated client that cannot render HTML.

Parametersidrequired

Version history

2
  1. v1.3.0LatestOct 26, 2026
  2. v1.2.0Oct 25, 2026

Score

100% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listedRequired15 pts
  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts