
WalnutLink AI MCP server
Which MCP servers are WalnutLink AI's own, from the official registry and from asking its own domain, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.
read 2026-10-29
- Registry nameai.walnutlink/walnutlink-a-shareverified in the MCP registry
The registry name sits under walnutlink.ai. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.
- Stateanswerschecked 2026-10-29
- Tools3
- Server calls itselfwalnutlink-a-share
- Server version1.2.0
- Protocol version2025-06-18
On 2026-10-29 the server answered initialize and tools/list without a sign-in. First answer in 276 ms.
- Its tools do none of the product's use cases we checked: check company numbers against primary filings; propose recurring research tasks for agents to follow.
- Checked on 5 of the 7 days it takes to judge reliability.
Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.
- INITE MCP scoreafter a weeka score needs 7 daily checks: 5 so far
- What an agent can do with it0 of 2 use cases
- Answeredmeasuring5 of the 7 daily checks it takes to print a share
- Median first answer308 ms
- Space in an agent's context≈ 747 tokensthe definitions of all its tools (3), which an agent carries on every turn
- Tool definitionsB · 83 of 100
- Typed results0 of 3 toolsdeclared outputSchema: results come typed, read once
- Not saying whether it only reads or can destroy: 3 of 3
What an agent can do with it
- not sure · track what AI figures say and what happened after
- cannot · check company numbers against primary filings
- cannot · propose recurring research tasks for agents to follow
Each of the product's use cases, put to Jev against this server's tool list: can an agent do it with these tools?
Worth a look
None of the five warning signs in these definitions.
A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (25%), doing the product's job (25%), definitions (20%), context (10%), use (10%) and how readily a client connects (10%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →
a_share_deep_researchUse 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…
a_share_chain_edgeUse 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…
a_share_answer_by_idRetrieve 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…
How to connect
Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:
{
"mcpServers": {
"walnutlink-a-share": {
"type": "http",
"url": "https://walnutlink.ai/mcp"
}
}
}Add it
Claude Code, in a terminal
claude mcp add --transport http walnutlink https://walnutlink.ai/mcpclaude.ai, ChatGPT and other clients: add https://walnutlink.ai/mcp as a custom connector in the settings.
OpenAPI spec
1 paths, read 2026-10-29. Open the spec ↗
Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.
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