WalnutLink MCP
An MCP server providing deep research tools for China's A-share equity market, enabling agents to analyze stock movements, corporate relationships, and filing-based insights.
Endpoint and access
No sign-in to connect and list tools. Individual tools may still need a vendor account, credentials, or permissions; check the documented prerequisites.
https://walnutlink.ai/mcpWhat you can do with it
- Ask deep research questions about A-share stock movements
- Analyze relationships between Chinese companies
- Fetch specific depth answers by ID
Source and maintenance
- Maintenance checked
Protocol and capabilities
- Server
- walnutlink-a-share 1.2.0
- MCP protocol
- 2025-06-18
- Tools
- 3 advertised
- Resources
- Not advertised
- Resource templates
- Not advertised
- Prompts
- Not advertised
{
"tools": {
"listChanged": false
}
}Server-provided instructions
Untrusted server output shown for inspection. It is not Koskamo guidance and is excluded from knowledge search.
Tools
3 advertised
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.
{
"type": "object",
"required": [
"question"
],
"properties": {
"question": {
"type": "string",
"description": "The judgement question, in Chinese or English. Name the company; a ticker alone is usually a quote request."
}
}
}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.
{
"type": "object",
"required": [
"a",
"b"
],
"properties": {
"a": {
"type": "string",
"description": "Company A: 6-digit A-share code or Chinese name."
},
"b": {
"type": "string",
"description": "Company B: 6-digit code or name. An unlisted company name also works (e.g. an acquisition target)."
},
"relation": {
"enum": [
"supplier",
"customer",
"competitor",
"peer",
"equity",
"investor",
"none",
"unknown"
],
"type": "string",
"description": "Optional filter when the pair has more than one link."
}
}
}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.
{
"type": "object",
"required": [
"id"
],
"properties": {
"id": {
"type": "string",
"description": "The 12-character hex id returned by a_share_deep_research, e.g. dc037a7fc6c8."
}
}
}Prompts
Not advertised
Resources
Not advertised
30-day availability
Aggregated from read-only remote checks; this is not a tool-execution or security guarantee.
- Successful checks
- 1 of 1 (100%)
- Average latency
- 1272 ms
- 95th percentile latency
- 1272 ms
Maintenance history
Public check and source-refresh events. Editorial and ownership records remain private.
- · probe · passed · 1272 ms · metadata changed · 3 tool(s)
Connect from your client
Each snippet registers the same endpoint; pick the client you use.
Claude Code
claude mcp add --transport http walnutlink-mcp https://walnutlink.ai/mcpCodex
codex mcp add walnutlink-mcp --url https://walnutlink.ai/mcpCursor
{
"mcpServers": {
"walnutlink-mcp": {
"url": "https://walnutlink.ai/mcp"
}
}
}Cline
{
"mcpServers": {
"walnutlink-mcp": {
"type": "streamableHttp",
"url": "https://walnutlink.ai/mcp",
"disabled": false
}
}
}VS Code
{
"servers": {
"walnutlink-mcp": {
"type": "http",
"url": "https://walnutlink.ai/mcp"
}
}
}Gemini CLI
gemini mcp add --transport http walnutlink-mcp https://walnutlink.ai/mcpClaude Desktop
{
"mcpServers": {
"walnutlink-mcp": {
"url": "https://walnutlink.ai/mcp"
}
}
}Windsurf
{
"mcpServers": {
"walnutlink-mcp": {
"serverUrl": "https://walnutlink.ai/mcp"
}
}
}Let your agent find its tools
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