Clinical Trials MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| search_clinical_trialsA | 搜索临床试验。默认查询招募中且过去3个月内更新的试验,按更新时间降序返回30个最相关结果。支持根据关键词(如KRAS-12D)、疾病类型(如胰腺癌)、地理位置(国家/城市)等条件查询。 |
| get_trial_detailsC | 获取指定临床试验的详细信息,包括:PI研究者信息、各地医院地点、联系方式(电话/邮箱)、详细研究介绍、入选/排除标准、结果指标等全面信息 |
| search_by_locationB | 根据地理坐标搜索附近的临床试验。默认查询招募中且3个月内更新的30个最相关结果。 |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 3 tools
The three tools have distinct primary purposes: get_trial_details retrieves comprehensive information for a specific trial, search_by_location focuses on geographic proximity, and search_clinical_trials provides general keyword-based searching. However, there is some overlap between the two search tools, as both can filter by location and return similar result sets, which could cause minor confusion for agents.
All tool names follow a consistent verb_noun pattern using snake_case: get_trial_details, search_by_location, and search_clinical_trials. The naming is predictable and readable, with clear action-object relationships throughout the set.
With only three tools, the server feels thin for a clinical trials domain that typically involves complex queries and data retrieval. While the tools cover key functions, the count is borderline low, as agents might expect additional operations like filtering by status, saving searches, or accessing trial phases and outcomes more granularly.
The tool set covers basic retrieval and searching, but there are notable gaps for a clinical trials server. For example, there are no tools for updating trial information, managing user preferences, accessing historical data, or handling more advanced analytics. The surface is functional but incomplete for comprehensive agent workflows in this domain.