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aria-mcp-server

Name: aria-mcp-server
Author: pkotecha-eng

by pkotecha-eng

Overview Schema Source Related Servers Score Discussions Admin

Python

Remote

🧬 ARIA Clinical Research MCP Server

Ein eigenständiger MCP-Server, der jedem Claude-Agenten Echtzeitzugriff auf biomedizinische Literatur und klinische Studien ermöglicht – ohne dass API-Schlüssel erforderlich sind. aria-mcp-server MCP server

Tools

Tool	Beschreibung
`search_pubmed`	Durchsuchen von über 35 Mio. Peer-Review-Artikeln über NCBI E-utilities
`search_clinical_trials`	Durchsuchen von über 400.000 Studien über die ClinicalTrials.gov v2 API
`search_isrctn`	Durchsuchen von britischen/europäischen Studien über das ISRCTN-Register

Related MCP server: clinicaltrials-mcp

Prompts

Prompt	Beschreibung
`clinical-research-brief`	Umfassende Evidenz + Studienzusammenfassung für eine Erkrankung
`adverse-event-analysis`	Strukturierte Analyse unerwünschter Ereignisse (AE) und Sicherheitsprofil für ein Medikament
`trial-eligibility-checker`	Bewertung der Patienteneignung für laufende Studien

Ressourcen

Ressource	Beschreibung
`info://aria`	Überblick über ARIA-Funktionen und Datenquellen
`reference://trial-phases`	Definitionen der Phasen I–IV und spezielle FDA-Bezeichnungen
`reference://high-impact-journals`	Kuratierte Fachzeitschriften mit hohem Impact nach Fachgebiet
`reference://fda-databases`	FDA-Datenbanken für Arzneimittel-, Sicherheits- und regulatorische Forschung

Beispielabfragen

Sobald die Verbindung hergestellt ist, fragen Sie Claude:

"Suche in PubMed nach Ergebnissen zur ketogenen Diät bei pädiatrischer Epilepsie"
"Finde laufende Studien zur Immuntherapie bei Lungenkrebs"
"Was sagt die Literatur über Veliparib bei Eierstockkrebs und gibt es aktive Studien?"
"Finde britische und europäische Studien zu pädiatrischer Epilepsie über ISRCTN"

Schnellstart

pip install aria-mcp-server
aria-mcp-server

Verbindung mit Claude Desktop

Fügen Sie dies zu ~/Library/Application Support/Claude/claude_desktop_config.json hinzu:

{
  "mcpServers": {
    "aria-clinical-research": {
      "command": "aria-mcp-server"
    }
  }
}

Starten Sie Claude Desktop neu. Der Server erscheint unter Einstellungen → Entwickler → Lokale MCP-Server.

Datenquellen

PubMed — NCBI E-utilities (öffentliche API, kein Schlüssel erforderlich)
ClinicalTrials.gov — v2 REST API (öffentliche API, kein Schlüssel erforderlich)
ISRCTN — Britisches/europäisches Register für klinische Studien (öffentliche API, kein Schlüssel erforderlich)

Tech-Stack

FastMCP — MCP-Server-Framework
Python 3.12+

Anwendungsfälle

Forscher in den Biowissenschaften, die Echtzeitzugriff auf Literatur benötigen
Koordinatoren klinischer Studien, die Eignung und Rekrutierungsstatus prüfen
Teams in der Arzneimittelforschung, die veröffentlichte Evidenz mit aktiven Studien abgleichen
Jeder Claude-Agent, der fundiertes biomedizinisches Wissen benötigt

Projektstruktur

aria-mcp-server/          ← root, where mcp-publisher runs
├── aria_mcp_server/      ← Python package
│   ├── __init__.py
│   ├── server.py
│   └── tools.py
├── server.json           ← MCP registry metadata
├── pyproject.toml
├── README.md
├── LICENSE
└── glama.json

Erstellt von

Pooja Kotecha · dinq.me/pkotecha-eng

Available Tools

3 tools

search_clinical_trialsA

Search ClinicalTrials.gov for clinical studies. Read-only operation. No authentication required. Uses ClinicalTrials.gov v2 public API (no rate limit documented). Returns up to 10 results per call. No pagination. Returns 'No clinical trials found.' if no results match. Use for: active trials, recruiting studies, inclusion/exclusion criteria, phase information, sponsor details, and trial locations.

ParametersJSON Schema

Name	Required	Description	Default
`status`	No	Trial status: RECRUITING, COMPLETED, or ALL	RECRUITING
`condition`	Yes	Disease or condition e.g. 'pediatric epilepsy', 'lung cancer'
`max_results`	No	Number of trials to return, between 1 and 10
`intervention`	No	Optional drug or intervention name to narrow results

Output Schema

ParametersJSON Schema

Name	Required	Description
`result`	Yes	Formatted list of trials with NCT ID, title, phase, status, sponsor, conditions, interventions, and eligibility criteria (inclusion and exclusion, listed separately). Returns 'no results' message if nothing found.

TDQS

A4.4/5.0

Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description carries full burden. Discloses read-only, no auth required, public API with no documented rate limit, batch size (up to 10), no pagination, fallback message. Sufficient for safe invocation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences plus a crisp list of use cases. Front-loaded with core purpose. Slightly redundant use-case list could be integrated, but overall efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Output schema exists, so return values are covered. Description covers purpose, usage, behavioral details, and limitations. No gaps given the tool's simplicity and existing structured fields.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with clear descriptions for all 4 parameters. Description adds no additional semantic value beyond what the schema already provides. Baseline score of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states it searches ClinicalTrials.gov for clinical studies. Lists specific use cases (active trials, recruiting studies, etc.). Distinguishes from sibling tools (search_isrctn, search_pubmed) by focusing on this specific database.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly lists what to use it for and mentions constraints (max 10 results, no pagination, no auth). Lacks explicit 'when not to use' but context is clear given siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

search_isrctnA

Search the ISRCTN registry for UK and European clinical trials. Read-only operation. No authentication required. Complements ClinicalTrials.gov by covering trials at UK academic institutions and European research centers not listed on ClinicalTrials.gov. Returns up to 10 results per call, filtered for relevance. Returns 'No ISRCTN trials found.' if no results match. Use for: UK/European trials, academic institution studies, international coverage beyond ClinicalTrials.gov.

ParametersJSON Schema

Name	Required	Description	Default
`query`	Yes	Condition or search terms e.g. 'pediatric epilepsy', 'type 2 diabetes'
`max_results`	No	Number of trials to return, between 1 and 10

Output Schema

ParametersJSON Schema

Name	Required	Description
`result`	Yes	Formatted list of trials with ISRCTN ID, title, phase, status, sponsor, condition, outcomes, countries, and inclusion/exclusion criteria.

TDQS

A4.1/5.0

Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Discloses read-only operation, no authentication required, result limits (up to 10), relevance filtering, and empty response message. With no annotations provided, description carries full burden and does well.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

4 sentences covering purpose, behavior, complementary role, and usage hints. Front-loaded and no unnecessary words, though could be slightly more concise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Covers purpose, usage, behavior, and limitations. With an output schema present, return values are presumably documented elsewhere. Sufficient for a moderate-complexity search tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema has 100% description coverage, so baseline is 3. Description adds minimal extra meaning (e.g., 'filtered for relevance'), but mostly restates schema info like max results limit.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states the tool searches the ISRCTN registry for UK and European clinical trials, distinguishing itself from sibling tools like search_clinical_trials by explicitly noting it complements ClinicalTrials.gov coverage.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides explicit use cases: UK/European trials, academic studies, international coverage beyond ClinicalTrials.gov. Implicitly suggests alternatives by noting it complements other registries, though does not explicitly state when not to use.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

search_pubmedA

Search PubMed for peer-reviewed biomedical literature. Read-only operation. No authentication required. Uses NCBI E-utilities public API (rate limit: ~3 requests/sec). Returns up to 10 results per call. No pagination. Returns 'No papers found.' if no results match. Use for: research papers, drug mechanisms, clinical outcomes, disease studies, safety/efficacy data, biomarkers, diagnostics, and any scientific question.

ParametersJSON Schema

Name	Required	Description	Default
`query`	Yes	Search query e.g. 'velarixin pediatric epilepsy phase 2'
`max_results`	No	Number of papers to return, between 1 and 10

Output Schema

ParametersJSON Schema

Name	Required	Description
`result`	Yes	Formatted list of papers with title, authors, journal, year, PMID, and abstract. Returns 'no results' message if nothing found.

TDQS

A4.5/5.0

Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description fully discloses behavioral traits: read-only operation, no authentication, NCBI E-utilities API with rate limit, max 10 results, no pagination, and empty result message. This is thorough and adds significant value beyond structured fields.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise paragraph, front-loaded with the purpose, followed by behavioral traits and usage context. Every sentence adds value with no redundancy or fluff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description covers all necessary aspects: purpose, behavioral traits, rate limits, result limits, empty result handling, and usage contexts. With an output schema present, return values are not needed. It is complete for a simple tool with two parameters.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3. The description does not add additional meaning beyond what is already in the schema for the two parameters (query and max_results). It restates the max_results limit but provides no new semantic detail.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it searches PubMed for peer-reviewed biomedical literature, with a specific verb and resource. It distinguishes from sibling tools (clinical trials, ISRCTN) by listing use cases like research papers and drug mechanisms.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description includes a 'Use for' list that implies contexts (research papers, drug mechanisms, clinical outcomes, etc.), but does not explicitly state when not to use or name alternative tools. The sibling context provides implicit guidance, so it is clear but lacks exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

1 tool updatev0.2.1Jul 13, 2026

Changedsearch_clinical_trials1 field changed

changedOutput schema / properties / result / description

Previous value: -"Formatted list of trials with NCT ID, title, phase, status, sponsor, conditions, interventions, and eligibility criteria. Returns 'no results' message if nothing found."New value: +"Formatted list of trials with NCT ID, title, phase, status, sponsor, conditions, interventions, and eligibility criteria (inclusion and exclusion, listed separately). Returns 'no results' message if nothing found."

3 tool updatesv0.2.0Jul 12, 2026
- Changedsearch_clinical_trials4 fields changed
  - addedInput schema / properties / condition / minLength
```
Added value: +1
```
  - addedInput schema / properties / max_results / maximum
```
Added value: +10
```
  - addedInput schema / properties / max_results / minimum
```
Added value: +1
```
  - addedInput schema / properties / status / enum
```
Added value: +[
+  "RECRUITING",
+  "COMPLETED",
+  "ALL"
+]
```
- Changedsearch_isrctn4 fields changed
  - addedInput schema / properties / max_results / maximum
```
Added value: +10
```
  - addedInput schema / properties / max_results / minimum
```
Added value: +1
```
  - addedInput schema / properties / query / minLength
```
Added value: +1
```
  - changedOutput schema / properties / result / description
```
Previous value: -"Formatted list of trials with ISRCTN ID, title, phase, status, sponsor, condition, outcomes, countries, and eligibility criteria."New value: +"Formatted list of trials with ISRCTN ID, title, phase, status, sponsor, condition, outcomes, countries, and inclusion/exclusion criteria."
```
- Changedsearch_pubmed3 fields changed
  - addedInput schema / properties / max_results / maximum
```
Added value: +10
```
  - addedInput schema / properties / max_results / minimum
```
Added value: +1
```
  - addedInput schema / properties / query / minLength
```
Added value: +1
```
1 tool updatev0.1.8May 3, 2026
- Addedsearch_isrctn

2 tool updatesv0.1.2Apr 28, 2026

Changedsearch_clinical_trials5 fields changed

changedInput schema / properties / condition / description

Previous value: -"Disease or condition (e.g. \"pediatric epilepsy\", \"lung cancer\")"New value: +"Disease or condition e.g. 'pediatric epilepsy', 'lung cancer'"

changedInput schema / properties / max_results / description

Previous value: -"Number of trials to return (1-10, default 5)"New value: +"Number of trials to return, between 1 and 10"

changedInput schema / properties / status / description

Previous value: -"Trial status — RECRUITING, COMPLETED, or ALL (default: RECRUITING)"New value: +"Trial status: RECRUITING, COMPLETED, or ALL"

addedOutput schema / properties / result / description

Added value: +"Formatted list of trials with NCT ID, title, phase, status, sponsor, conditions, interventions, and eligibility criteria. Returns 'no results' message if nothing found."

removedOutput schema / x-fastmcp-wrap-result
```
Removed value: -true
```

Changedsearch_pubmed4 fields changed

changedInput schema / properties / max_results / description

Previous value: -"Number of papers to return (1-10, default 5)"New value: +"Number of papers to return, between 1 and 10"

changedInput schema / properties / query / description

Previous value: -"Search query (e.g. \"velarixin pediatric epilepsy phase 2\")"New value: +"Search query e.g. 'velarixin pediatric epilepsy phase 2'"

addedOutput schema / properties / result / description

Added value: +"Formatted list of papers with title, authors, journal, year, PMID, and abstract. Returns 'no results' message if nothing found."

removedOutput schema / x-fastmcp-wrap-result
```
Removed value: -true
```

2 tool updatesApr 14, 2026
- First observedsearch_clinical_trials
- First observedsearch_pubmed

Install Server

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TDQS

A4.4/5.0

Scored 2026-09-09 19:43 across 3 tools

Disambiguation5/5

Each tool targets a distinct data source: PubMed (literature), ClinicalTrials.gov (global trials), and ISRCTN (UK/European trials). The descriptions include specific use cases and overlap is minimal, so an agent can easily select the appropriate tool.

Naming Consistency5/5

All tools follow a clear 'search_<source>' pattern, making the naming perfectly consistent and predictable. The verb 'search' is used uniformly with the database name as the object.

Tool Count5/5

Three tools are appropriate for a search-focused server covering the key biomedical research databases. Each tool provides a distinct and essential capability without unnecessary bloat.

Completeness4/5

The server covers the main sources for biomedical literature and clinical trials, but lacks other registries (e.g., EU-CTR, WHO ICTRP). Minor gaps exist, but the core search workflows are well covered and agents can work around them.

Maintenance

ActivitySlowing

ResponsivenessResponsive

Resources

GitHub Repository

Need Help?

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