AACT Clinical Trials
This MCP server implementation provides an interface to the AACT (Aggregated Analysis of Clinical Trials) database, enabling AI assistants to query and analyze clinical trial data. Developed as an open-source project, it leverages Python and the psycopg2 library to connect to the PostgreSQL-based AACT database. The server offers functions for executing custom SQL queries, retrieving study details, and searching across various trial parameters. Built with asyncio support and following MCP standards, it allows for efficient, concurrent database operations. This implementation is particularly useful for researchers, healthcare professionals, and data scientists who want to integrate large-scale clinical trial data analysis into their AI-assisted workflows, facilitating tasks such as identifying relevant studies, analyzing trial designs, or tracking drug development trends.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/navisbio/aact_clinicaltrials_mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve AACT Clinical Trials from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.