INDIVIDUAL MCP TOOL
get_cluster_brief
The editorial brief for a HerStack cluster: framing, research findings, the evidence table, brand criteria, and a plain-language FAQ that also explains the condition itself (what perimenopause is, its timeline, contraception, when to see a GP).
LIVE ENDPOINT
https://herstack.co.uk/api/mcp
Connect to this endpoint to inspect the live schema for get_cluster_brief and invoke it with your own arguments.
Indexed input schema
{}Risk classification
Inferred read-only · medium confidence · heuristic, not a guarantee.
- No write-capable action terms were found; this is not proof that invocation has no side effects.
Parent server
CONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.herstack]
url = "https://herstack.co.uk/api/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"herstack": {
"type": "http",
"url": "https://herstack.co.uk/api/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: herstack
Remote MCP URL: https://herstack.co.uk/api/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"herstack": {
"url": "https://herstack.co.uk/api/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"herstack": {
"type": "http",
"url": "https://herstack.co.uk/api/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "herstack",
"transport": "streamable-http",
"url": "https://herstack.co.uk/api/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
Related tools
recommend_supplements— HerStack's named Solgar UK supplement recommendations for a women's-health concern or cluster, each with formulation rationale and the authorised health claim (or a research-context note).assess_concern— Route a reader concern to its primary HerStack cluster (and a secondary where relevant), and return that cluster's recommendations.