Is io.github.neptun2000/heor-agent safe to use?

io.github.neptun2000/heor-agent has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install io.github.neptun2000/heor-agent?

io.github.neptun2000/heor-agent supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What can io.github.neptun2000/heor-agent do?

io.github.neptun2000/heor-agent provides 7 tools: literature_search, cost_effectiveness_model, hta_dossier_prep, project_create, knowledge_search and 2 more. See the full tools list on the server page for descriptions and parameters.

What AI clients work with io.github.neptun2000/heor-agent?

io.github.neptun2000/heor-agent is compatible with Claude Desktop, Cursor, Claude Code, and most MCP clients that support stdio transport. It uses stdio and sse and http transport.

Is io.github.neptun2000/heor-agent actively maintained?

io.github.neptun2000/heor-agent is actively maintained — last commit was 1 day ago. It has 2 GitHub stars.

io.github.neptun2000/heor-agent

HEOR MCP server: literature search, CEA, BIA, NMA/MAIC, HTA dossiers (NICE/FDA/EMA/JCA).

ActiveNot tested

Other

★ 2npm GitHub

55CNo CVEsactive7 tools

Quick Install

{
  "mcpServers": {
    "heor-agent": {
      "args": [
        "heor-agent-mcp"
      ],
      "command": "npx"
    }
  }
}

Setup guide

Are you the author?

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[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-neptun2000-heor-agent)](https://mcppedia.org/s/io-github-neptun2000-heor-agent)

Should you use this server?

AI-powered Health Economics and Outcomes Research (HEOR) agent as a Model Context Protocol server.

✓

Is it safe?

No known CVEs for heor-agent-mcp.

No authentication — any process on your machine can connect.

License not specified.

✓

Is it maintained?

Last commit 1 days ago. 2 stars.

Will it work with my client?

Transport: stdio, sse, http. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.

Context cost

7 tools.

Loading README…

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

npx -y 'heor-agent-mcp' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

Tools (7)

literature_search

Search 41 data sources in parallel with PRISMA-style audit trail showing which sources were used and why

cost_effectiveness_model

Multi-state Markov model or Partitioned Survival Analysis with PSA, OWSA, CEAC, EVPI, and WTP assessment

hta_dossier_prep

Draft submission-ready sections for NICE, EMA, FDA, IQWiG, HAS, and EU JCA with gap analysis

project_create

Initialize a persistent project workspace at ~/.heor-agent/projects/{project-id}/

knowledge_search

Full-text search across a project's raw/ and wiki/ trees

knowledge_read

Read any file from a project's knowledge base

knowledge_write

Write compiled evidence to the project wiki (Obsidian-compatible markdown)

Resources (5)

project_raw_literature

Auto-populated literature search results

~/.heor-agent/projects/{project-id}/raw/literature/

project_raw_models

Auto-populated cost-effectiveness model runs

~/.heor-agent/projects/{project-id}/raw/models/

project_raw_dossiers

Auto-populated HTA dossier drafts

~/.heor-agent/projects/{project-id}/raw/dossiers/

project_reports

Generated DOCX reports

~/.heor-agent/projects/{project-id}/reports/

project_wiki

Manually curated Obsidian-compatible markdown with wikilinks

~/.heor-agent/projects/{project-id}/wiki/

Score Breakdown

MCPpedia Score

Click each category to see evidence

55C

Last scored 16h ago

How we score →

Security

19/30

No known vulnerabilities.

✓

Known CVEs — No known CVEs for heor-agent-mcpcheck OSV.dev

○

Tool safety — No tools to analyze

○

Tool poisoning — No tools to analyze

○

Injection vectors — No tools to analyze

○

Tool stability — First scan — baseline recorded

○

Dependency health — found on deps.dev, recently updated

✗

License — No license specified

○

Authentication — No authentication required

○

Repository — active repo

CVEs checked daily via OSV.dev. Score algorithm is open source.

Reviews

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.neptun2000/heor-agent safe to use?: io.github.neptun2000/heor-agent has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.neptun2000/heor-agent?: io.github.neptun2000/heor-agent supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can io.github.neptun2000/heor-agent do?: io.github.neptun2000/heor-agent provides 7 tools: literature_search, cost_effectiveness_model, hta_dossier_prep, project_create, knowledge_search and 2 more. See the full tools list on the server page for descriptions and parameters.
What AI clients work with io.github.neptun2000/heor-agent?: io.github.neptun2000/heor-agent is compatible with Claude Desktop, Cursor, Claude Code, and most MCP clients that support stdio transport. It uses stdio and sse and http transport.
Is io.github.neptun2000/heor-agent actively maintained?: io.github.neptun2000/heor-agent is actively maintained — last commit was 1 day ago. It has 2 GitHub stars.

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Discussion

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Has anyone used this with Cursor?How do you handle auth?Any alternatives?

HEORAgent MCP Server

AI-powered Health Economics and Outcomes Research (HEOR) agent as a Model Context Protocol server.

Automates literature review across 41 data sources, risk of bias assessment (RoB 2 / ROBINS-I / AMSTAR-2), state-of-the-art cost-effectiveness modelling, HTA dossier preparation for NICE / EMA / FDA / IQWiG / HAS / EU JCA, and a persistent project knowledge base — all callable as MCP tools from Claude.ai, Claude Code, and any MCP-compatible host.

Built for pharmaceutical, biotech, CRO, and medical affairs teams who need rigorous, auditable HEOR workflows without building infrastructure from scratch.

Quick Start

Claude Code

claude mcp add heor-agent -- npx heor-agent-mcp

Then restart Claude Code.

Claude Desktop / claude.ai

Add to your MCP configuration:

{
  "mcpServers": {
    "heor-agent": {
      "command": "npx",
      "args": ["heor-agent-mcp"]
    }
  }
}

Verify

> Run a literature search for semaglutide cost-effectiveness in T2D using PubMed and NICE TAs

Tools

Tool	Purpose
`literature_search`	Search 41 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
`cost_effectiveness_model`	Markov / PartSA / decision-tree CEA with PSA, OWSA, CEAC, EVPI
`hta_dossier_prep`	Draft submissions for NICE, EMA, FDA, IQWiG, HAS, and EU JCA — GRADE table uses structured RoB when `rob_results` passed
`project_create`	Initialize a persistent project workspace
`knowledge_search`	Full-text search across a project's raw/ and wiki/ trees
`knowledge_read`	Read any file from a project's knowledge base
`knowledge_write`	Write compiled evidence to the project wiki (Obsidian-compatible)

`literature_search`

Searches across 41 sources in parallel. Every call returns a source selection table showing which of the 41 sources were used and why — essential for HTA audit trails.

Example call:

{
  "query": "semaglutide cardiovascular outcomes type 2 diabetes",
  "sources": ["pubmed", "clinicaltrials", "nice_ta", "cadth_reviews", "icer_reports"],
  "max_results": 20,
  "output_format": "text"
}

`cost_effectiveness_model`

Multi-state Markov model (default) or Partitioned Survival Analysis (oncology), following ISPOR good practice and NICE reference case (3.5% discount rate, half-cycle correction). Includes:

PSA — 1,000–10,000 Monte Carlo iterations, probability cost-effective at WTP thresholds
OWSA — one-way sensitivity analysis with tornado summary
CEAC — cost-effectiveness acceptability curve
EVPI — expected value of perfect information
WTP assessment — verdict against NHS (£25–35K/QALY, updated April 2026), US payer ($100–150K), societal thresholds

Example call:

{
  "intervention": "Semaglutide 1mg SC weekly",
  "comparator": "Sitagliptin 100mg daily",
  "indication": "Type 2 Diabetes Mellitus",
  "time_horizon": "lifetime",
  "perspective": "nhs",
  "model_type": "markov",
  "clinical_inputs": { "efficacy_delta": 0.5, "mortality_reduction": 0.15 },
  "cost_inputs": { "drug_cost_annual": 3200, "comparator_cost_annual": 480 },
  "utility_inputs": { "qaly_on_treatment": 0.82, "qaly_comparator": 0.76 },
  "run_psa": true,
  "output_format": "docx"
}

`hta_dossier_prep`

Drafts submission-ready sections for six HTA frameworks with gap analysis:

Body	Country	Submission types
NICE	UK	STA, MTA, early_access
EMA	EU	STA, MTA
FDA	U

... View full README on GitHub