What is OpenEvidence MCP?

OpenEvidence MCP is an unofficial open-source Model Context Protocol server that connects your OpenEvidence browser session to AI clients.

Doctors, medical researchers, and clinical teams use it to run evidence-backed questions inside Codex, Claude, and other MCP-compatible clients.

Which MCP clients are supported?

Any client that supports standard MCP servers, including Codex CLI, Claude Desktop, Claude Code, OpenClaw, Cursor, Cline, Continue, and similar tools.

OpenEvidence MCP for Doctors | Medical MCP Server

Overview

OpenEvidence MCP is an unofficial Model Context Protocol server that connects OpenEvidence via your own browser session. It supports local auth status checks, history retrieval, article fetch by ID, and question execution with completion polling.

What Is OpenEvidence?

OpenEvidence is a clinical evidence assistant used by physicians to quickly review literature-backed answers. This repository provides the MCP bridge so your AI workflow can query OpenEvidence from one place.

Tool Surface

oe_auth_status: Validate account session through /api/auth/me.
oe_history_list: Read previous conversations through /api/article/list.
oe_article_get: Fetch full article payload by article ID.
oe_ask: Create a new question and optionally wait for completion.

When Doctors Use It

Differential diagnosis follow-ups with source-backed context
Treatment option comparisons and quick evidence checks
Long case threads where history and follow-up continuity matter
Clinical knowledge workflows shared across team AI tools

Install Targets & MCP Clients

macOS
Windows
Ubuntu / Linux
Codex CLI / Claude Desktop / Claude Code / OpenClaw / Cursor / Cline / Continue

SEO / GEO / Parser Readiness

Static semantic HTML, no JS framework dependency
Canonical URL + OpenGraph + JSON-LD metadata
robots.txt and sitemap.xml included
llms.txt and llms-full.txt for AI parsers
Dedicated semantic map: docs/SEMANTIC_CORE.md

Example Workflows

Differential Diagnosis Follow-up: Ask OpenEvidence about a complex case, get source-backed answers with citations, then follow up in the same thread - all from your Claude Desktop or Codex CLI session.
Treatment Comparison: Query two treatment approaches side by side. The MCP server preserves conversation context so follow-up questions refine the answer.
Journal Club Prep: Pull recent articles on a topic via oe_history_list and oe_article_get. Feed them into your AI workflow for summary and discussion points.
Team Knowledge Base: Multiple clinicians can run their own sessions. Each authenticates with their own OpenEvidence account - no shared credentials needed.