# covidence-mcp

> Use this tool when you need to automate study screening in Covidence, solving the problem of manual study review and vote casting. It takes in stored criteria as input and outputs cast votes, handling browser navigation internally. This tool is ideal for streamlining systematic review workflows, increasing efficiency and reducing manual effort.

Canonical page: https://skillsregistry.net/skills/samrathp29-covidence-mcp  
JSON: https://api.skillsregistry.net/v1/skills/samrathp29-covidence-mcp

## Description

Enables Claude to screen studies in Covidence by reading the live page and casting votes based on stored criteria, with all browser navigation handled by Claude itself.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cw0m8cx1o8)
- **Repository:** <https://github.com/samrathp29/covidence-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "samrathp29-covidence-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/samrathp29-covidence-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/samrathp29-covidence-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt