Clarity MCP vs Heor Agent MCP — MCP Server Comparison | AllMCPs
Side-by-Side Model Context Protocol Comparison
Clarity MCP vs Heor Agent MCP
In-depth architectural comparison of the Clarity MCP and Heor Agent MCP MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.
At a Glance & Executive Verdict
Clarity MCP
Biology, Medicine and Bioinformatics · Remote HTTP/SSE
Quality: 53/100 (Good) | Auth: No auth required
Heor Agent MCP
Biology, Medicine and Bioinformatics · Local stdio
Quality: 63/100 (Good) | Auth: No auth required
Verdict Summary: Choose Clarity MCP if you need specialized Biology, Medicine and Bioinformatics tools running via a hosted cloud SSE transport. Choose Heor Agent MCP if your workspace requires Biology, Medicine and Bioinformatics integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.
Which MCP Server Should You Choose?
Choose Clarity MCP when:
You need dedicated capabilities in the Biology, Medicine and Bioinformatics domain.
You prefer remote streaming HTTP/SSE transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Condition-aware ingredient, product & supplement safety for agents, with provenance on every answer — a verdict, an evidence tier (Gold/Silver/Bronze), and a verifiable citation — across breastfeeding, pregnancy, histamine/MCAS, rosacea, HS, allergy and fertility lenses. 9 tools incl. validateclaim (fact-check a claim against curated cited sources) and checkrecall (FDA/consumer recall lookup by brand with Class I flagging and source URLs). Hosted at mcp.healthai.com.
HEOR (Health Economics and Outcomes Research) MCP server with 7 tools for literature search across 41 medical data sources (PubMed, NICE, CADTH, ICER, etc.), cost-effectiveness modeling (Markov/PartSA/PSA), and HTA dossier preparation for pharmaceutical and biotech teams.
Tools & Capabilities Breakdown
Clarity MCP Tools (9)
check_ingredient
Verdict + evidence tier + citation for a cosmetic/food/supplement ingredient, under one condition lens or several at once (`lenses: [..]`)
check_stack
Audit a supplement stack in one call: per-item condition verdicts plus every curated interaction within the stack
find_alternatives
Safer same-category swaps for a flagged product — general quality-score ranked, lens-flag screened, coverage-honest (food/skincare; verify the pick with `scan_barcode`)
strain_lookup
Verdict, tier, PMID citation and safety flags for a cannabis or mushroom species/strain
scan_barcode
Look up a product by UPC/EAN, flag its ingredients for a condition lens, and surface any active FDA recall
Ready-to-Paste Client Configurations
Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).
Clarity MCP is categorized under Biology, Medicine and Bioinformatics and uses a remote streaming HTTP/SSE transport. In contrast, Heor Agent MCP belongs to Biology, Medicine and Bioinformatics using local stdio subprocess. Select Clarity MCP when you need capabilities focused on biology, medicine and bioinformatics and Heor Agent MCP when you require tools for biology, medicine and bioinformatics.
Category-specific product quality score by barcode (food / skincare / supplement), each dimension distinct, always with data-quality coverage
check_recall
Consumer-product recall matches by brand and optional product name, with source URLs and a medical-device scope boundary
Heor Agent MCP Tools (17)
literature_search
Search 44 data sources with a full PRISMA-style audit trail
screen_abstracts
PICO-based relevance scoring and study design classification
risk_of_bias
Cochrane RoB 2 / ROBINS-I / AMSTAR-2 with GRADE RoB domain summary
evidence_network
Build treatment comparison network and assess NMA feasibility
evidence_indirect
Bucher and frequentist NMA with **automatic consistency check** vs direct h2h evidence (NICE DSU TSD 18)
population_adjusted_comparison
MAIC and STC for population-adjusted indirect comparisons
survival_fitting
Fit 5 parametric distributions to KM data (NICE DSU TSD 14)
itc_feasibility
Assess the 3-assumption ITC framework and recommend Bucher / NMA / MAIC / STC / ML-NMR
cost_effectiveness_model
Markov / PartSA / decision-tree CEA with PSA, OWSA, CEAC, EVPI, EVPPI; QALY + evLYG support
budget_impact_model
ISPOR-compliant BIA with year-by-year output and treatment-displacement modelling
hta_dossier
Draft submissions for NICE, EMA, FDA, IQWiG, HAS, and EU JCA — GRADE table uses structured RoB when `rob_results` passed; **inconsistency uses I² when `heterogeneity_per_outcome` passed**; **GRADE upgrading (Guyatt 2011) supported via `upgrading_per_outcome`