mcp server
io.github.bakhtiersizhaev/openevidence-mcp
Unofficial MCP server connecting OpenEvidence to AI agents via authenticated browser sessions
Description as published by the maintainer. Source
- version 0.2.1
- active
- browser automation
active — Most recent push to the repository was 2026-07-17. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 35 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-07-17 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 1 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 0.2.1 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-06-07 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| License | Apache-2.0 | Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. | as of fetch | GitHub | |
| First listed in the MCP Registry | 2026-06-07 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub |
Where to get it
Related, by what their authors tagged them
-
Last EHR — Medplum
— last commit 2026-07-27, shares healthcare-ai
FHIR chart tools for MCP: read-only by default, with elicitation-gated, human-approved writes.
-
com.browser-use/browser-use
— last commit 2026-08-05, shares browser-automation, playwright
Control a real Chrome browser to complete any task: fill forms, extract data, book flights.
-
com.clauxel.playwrightselectorguard/playwrightselectorguard-mcp
— last commit 2026-05-19, shares browser-automation, playwright
Playwright selector risk checks with healing suggestions and receipts.
-
io.github.aethynio/aethyn-browser-mcp
— last commit 2026-07-11, shares browser-automation, playwright
Local Playwright browser through residential proxies — agent picks country + sticky identity
-
io.github.AINative-Studio/ainative-browser-mcp
— last commit 2026-08-01, shares browser-automation, playwright
AI-powered browser automation MCP — 6 tools for web interaction, extraction, and validation.
-
io.github.anthonybono21-cloud/leapfrog
— last commit 2026-04-09, shares browser-automation, playwright
Multi-session browser MCP — 15 parallel isolated browsers, 37 tools, stealth, self-improvement.
-
AIR SDK
— last commit 2026-04-10, shares browser-automation, playwright
Collective intelligence for browser automation agents. Site capabilities, selectors, and extraction.
-
io.github.browser-gateway/browser-gateway
— last commit 2026-08-04, shares browser-automation, playwright
AI browser tools with Chrome CDP. Navigate, screenshot, interact. Multi-provider failover.
-
io.github.developerz-ai/ui-debugger-mcp
— last commit 2026-08-08, shares browser-automation, playwright
Autonomous UI debugging MCP server: an agent drives the browser/desktop, reports bugs + UX issues.
-
Myagi - Open Agent Registry
— last commit 2026-08-03, shares llms-txt
Score any website's AI-agent readiness. Open Agent Registry scanner + platform tools.
These share tags the maintainers applied themselves, such as healthcare-ai, browser-automation, playwright, llms-txt. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
How the author describes it
Topics the maintainer set on GitHub: ai-agents, browser-automation, claude, claude-code, clinical-ai, clinical-decision-support, clinical-research, codex, doctors, evidence-based-medicine, healthcare-ai, llms-txt, mcp, mcp-server, medical-ai, medical-research, model-context-protocol, openevidence, playwright, typescript.
Bring your own setup
We take apart real AI setups every week and show what broke, what cost too much, and what the trace actually said. If you run agents on real work, that is where the useful conversation is.
Join ZBS AI Practice Lab