Clinicaltrialsgov MCP Server vs Ema Article57
A side-by-side look at the Clinicaltrialsgov MCP Server and Ema Article57 MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Clinicaltrialsgov MCP Server for biology & bioinformatics work as a local process; choose Ema Article57 for biology & bioinformatics as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Clinicaltrialsgov MCP Server when
- You need dedicated capabilities in the Biology & Bioinformatics domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
- You want tools like
clinicaltrials_search_studies, clinicaltrials_get_study_record, clinicaltrials_get_study_count.
Choose Ema Article57 when
- You need dedicated capabilities in the Biology & Bioinformatics domain.
- You prefer a local stdio subprocess transport.
- You want tools like
ema_article57_search, ema_article57_product, ema_article57_recent_changes.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Biology & Bioinformatics | Biology & Bioinformatics |
| Quality signal | 63/100 · Good | 59/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | No auth required | Not declared |
| Pricing | Free | Not declared |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 99 | 0 |
| Directory activity | 2 views 0 installs 0 upvotes | 1 views 0 installs 0 upvotes |
| Tools | 7 | 4 |
| Full listing | View Clinicaltrialsgov MCP Server | View Ema Article57 |
Tools & capabilities
Clinicaltrialsgov MCP Server tools 7
clinicaltrials_search_studiesSearch studies with full-text and field-specific queries, status/phase/geographic filters, pagination, sorting, and field selectionclinicaltrials_get_study_recordFetch a single study by NCT ID — full protocol record with optional location/outcome/reference capsclinicaltrials_get_study_countFast total study count for a query, without fetching dataclinicaltrials_get_field_valuesDiscover valid values for API fields, with per-value study countsclinicaltrials_get_field_definitionsResolve valid field names — keyword search, path drill-down, or top-level overviewclinicaltrials_get_study_resultsFetch posted results — outcomes, adverse events, participant flow, baseline — for completed studiesclinicaltrials_find_eligibleMatch patient demographics and conditions to candidate recruiting trials, without checking inclusion/exclusion criteria
Ema Article57 tools 4
ema_article57_searchSearch the EMA Article 57 database — every medicine with a valid marketing authorisation anywhere in the EEA (centrally, mutually-recognised, decentralised AND purely nationally authorised), one row per product x authorisation-country. Answers "which EEA countries is <product> authorised in", "who is the marketing-authorisation holder / pharmacovigilance system location for <product> in <country>", "which products does <company> hold in the EEA". Free-text query matches product name, active substance and holder name. Real offset+limit pagination with a total row count in the response — this is a 164k-row register, not a top-N sample.ema_article57_productThe full Article 57 record(s) for one product by name — every EEA country it is authorised in, with the marketing-authorisation holder and pharmacovigilance system location per country. Article 57 carries no indication text and no per-product URL, so this returns the authoritative EMA source document URL rather than a paraphrased indication.ema_article57_recent_changesProducts added to or removed from the Article 57 register since a given date, computed by diffing our dated snapshots of the EMA export (the source itself carries no change-date column, so there is no other way to answer "what changed"). Returns comparable:false with an explicit reason, never a guessed empty diff, when no snapshot exists at or before the requested date.ema_article57_dataset_infoDataset metadata: the authoritative EMA bulk-download URL, current row count, this pack's snapshot dates on record, and the full list of distinct authorisation-country values used by the country filter. Use this before ema_article57_search when you need the exact country spelling or want the bulk file instead of paginated rows.
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Clinicaltrialsgov MCP Server
{
"mcpServers": {
"clinicaltrialsgov-mcp-server": {
"command": "npx",
"args": [
"-y",
"clinicaltrialsgov-mcp-server"
]
}
}
}
Ema Article57
{
"mcpServers": {
"ema-article57": {
"command": "npx",
"args": [
"-y",
"@pipeworx/mcp-ema-article57"
]
}
}
}
Frequently asked questions
Clinicaltrialsgov MCP Server is categorized under Biology & Bioinformatics and uses a local stdio subprocess. Ema Article57 belongs to Biology & Bioinformatics and uses a local stdio subprocess. Pick Clinicaltrialsgov MCP Server for biology & bioinformatics work and Ema Article57 for biology & bioinformatics.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Clinicaltrialsgov MCP Server is listed as free. Auth: no auth required. Ema Article57 has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add clinicaltrialsgov-mcp-server and ema-article57 as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Clinicaltrialsgov MCP Server has a quality signal of 63/100 (Good) with 2 views, 0 installs and 99 GitHub stars. Ema Article57 has 59/100 (Good) with 1 views, 0 installs and 0 GitHub stars.