# protocol-mcp

> Use this tool when you need to access and manage experimental protocols from wetlab resources like protocols.io using natural language inputs, enabling efficient retrieval and execution of protocols. It solves problems of protocol discovery, management, and sharing, and provides outputs in a human-readable format. Ideal for researchers and scientists who require streamlined protocol management workflows.

Canonical page: https://skillsregistry.net/skills/biocontext-ai-protocol-mcp  
JSON: https://api.skillsregistry.net/v1/skills/biocontext-ai-protocol-mcp

## Description

Connects to wetlab protocol resources such as protocols.io, enabling users to access and manage experimental protocols via natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dauwr0vj2z)
- **Repository:** <https://github.com/biocontext-ai/protocol-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": "biocontext-ai-protocol-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/biocontext-ai-protocol-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/biocontext-ai-protocol-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