Hormonaly Clinical Intelligence MCP server
online · 100% uptimeio.github.Hormonaly-ai/hormonaly·v1.0.4·2 stars24 tools for evidence-graded clinical queries, hormones, peptides, longevity & drug interactions.
2 stars
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Hormonaly Clinical Intelligence tools
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Public scan report
scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it
- –Code scanremote-only server, no package to scann/a
- Live reliabilityremote reachable in 364ms (auth required)20/20
- –Tool poisoningtools not inspected (endpoint requires auth); not countedn/a
- Auth qualityauth enforced (unknown)9/15
- Maintenancelast push 54 days ago12/15
- Maintainer identityregistry namespace matches repository owner7/10
How Hormonaly Clinical Intelligence compares
Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 80/100
- higher than 60% of 48,255 servers
- Uptime
- 100%
- of our recent checks; the typical remote server answers 100%
- Response time
- 529 ms
- faster than 28% of 30,031 servers
- GitHub stars
- 2
- more than 75% of 28,688 servers
Install Hormonaly Clinical Intelligence in Claude Code, Cursor or VS Code
claude mcp add --transport http hormonaly https://mcp.hormonaly.ai/mcp
What the publisher says
From the Hormonaly Clinical Intelligence repository's README, as published. We do not edit it. Read it on GitHub
Hormonaly — Public API & Integration Reference
The AI-native infrastructure for peptide, hormone, and longevity medicine.
This repository is the public-facing integration reference for enterprise partners and API integrators. The MCP server source is published in this repository at Hormonaly-ai/hormonaly-public. For clinical access, visit hormonaly.ai.
Table of Contents
- Platform Overview
- Architecture Overview
- Partner API Reference
- MCP Server — Tool Schema
- Authentication
- Rate Limits & Quotas
- Errors & Status Codes
- Subscription Tiers
- Scribe API
- Security & Compliance
- Getting Access
- Three-Lens Scoring
Platform Overview
Hormonaly combines three pillars into one platform:
- Evidence Synthesis — Multi-agent RAG over PubMed + 594 curated protocols with GRADE-style grading (A–D). 6 biomedical databases queried per response: PubMed, ClinicalTrials.gov, Cochrane, Europe PMC, OpenAlex, Semantic Scholar.
- Clinical Decision Support — Real-time answers, SOAP/DAP/Narrative notes, interaction checks, dosing, and monitoring plans grounded in verified citations.
- Workflow Tools — The operating layer for clinics, compounding pharmacies, and research teams in the peptide/hormone/longevity space.
By the numbers:
Core products available via API:
Architecture Overview
Hormonaly is built on a 42-agent orchestration architecture organized into six categories: Evidence, Research, Clinical, Content, Copilot, and Extraction — plus six continuously-running background agents.
Query Pipeline
Every Helix API call flows through the same deterministic pipeline:
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Hormonaly Clinical Intelligence: common questions
- Is Hormonaly Clinical Intelligence MCP server safe?
- Mostly: it is graded B (80/100). Read the Hormonaly Clinical Intelligence safety report
- How do I install Hormonaly Clinical Intelligence?
- It runs remotely at mcp.hormonaly.ai. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
- Does Hormonaly Clinical Intelligence need an API key?
- Yes. The registry entry asks for
x-api-key. - Is Hormonaly Clinical Intelligence maintained?
- The last commit was 91 days ago (2026-08-04). The latest release is v1.0.4.
- Is Hormonaly Clinical Intelligence up?
- 100% of our last 28 checks got an answer. We check remote servers about four times a day.
- How does Hormonaly Clinical Intelligence compare with other MCP servers?
- safety score 80/100 (higher than 60% of 48,255 servers); uptime 100% (of our recent checks; the typical remote server answers 100%); response time 529 ms (faster than 28% of 30,031 servers). Full comparison.