# mcp-vcr

> mcp-vcr — yulinlina-mcp-vcr. Use this tool when you need to record and replay MCP JSON-RPC tool calls for deterministic, offline testing of AI agent workflows. It solves problems of side-effects and rate limits by proxying stdio and storing interactions in local cassette files. Ideal for testing AI agent workflows without dependencies or online connectivity.

Canonical page: https://skillsregistry.net/skills/yulinlina-mcp-vcr  
JSON: https://api.skillsregistry.net/v1/skills/yulinlina-mcp-vcr

## Description

VCR for MCP servers: a zero-dependency stdio proxy that records and replays MCP JSON-RPC tool calls to local cassette files, enabling deterministic, offline testing of AI agent workflows without side-effects or rate limits.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tw4anq8iwh)
- **Repository:** <https://github.com/yulinlina/mcp-vcr>

## 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": "yulinlina-mcp-vcr"
    }
  }
}
```

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