In-depth architectural comparison of the Dicomweb MCP Server 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
Dicomweb MCP Server
Biology, Medicine and Bioinformatics · Local stdio
Quality: 59/100 (Good) | Auth: other
Heor Agent MCP
Biology, Medicine and Bioinformatics · Local stdio
Quality: 61/100 (Good) | Auth: No auth required
Verdict Summary: Choose Dicomweb MCP Server if you need specialized Biology, Medicine and Bioinformatics tools running via a local process. 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 Dicomweb MCP Server when:
You need dedicated capabilities in the Biology, Medicine and Bioinformatics domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: other (Free / Open Source).
A DICOMweb MCP server that exposes a DICOMweb-compliant DICOM archive to AI assistants, enabling search of studies, series and instances, metadata inspection, structured report reading, encapsulated PDF text extraction, and frame rendering.
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.
Category & Scope
Tools & Capabilities Breakdown
Dicomweb MCP Server Tools (9)
find-studies
Searches DICOM studies on the configured DICOMweb server. Results are sorted by study date, newest first.
find-series
Searches DICOM series within a single study. Results are sorted by series date, newest first.
find-instances
Searches DICOM instances within a single series. Results are sorted by Instance Number ascending.
find-encapsulated-pdf-reports
Finds all Encapsulated PDF instances in a study by looking for DOC-modality series and filtering by the Encapsulated PDF SOP Class UID (`1.2.840.10008.5.1.4.1.1.104.1`).
get-encapsulated-pdf-report-text
Retrieves an Encapsulated PDF DICOM instance and extracts its text content.
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).
Dicomweb MCP Server is categorized under Biology, Medicine and Bioinformatics and uses a local stdio subprocess. In contrast, Heor Agent MCP belongs to Biology, Medicine and Bioinformatics using local stdio subprocess. Select Dicomweb MCP Server when you need capabilities focused on biology, medicine and bioinformatics and Heor Agent MCP when you require tools for biology, medicine and bioinformatics.
Finds all Structured Report (SR) instances in a study by looking for SR-modality series and filtering by known SR SOP Class UIDs.
get-structured-report-text
Retrieves a Structured Report instance and converts it to human-readable text.
get-instance-metadata
Retrieves and formats all DICOM attributes of a single instance as human-readable text. Does not retrieve pixel data.
render-instance-frame
Renders a specific frame from a DICOM instance and returns it as an inline image (JPEG or PNG).
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`