# Reqable Capture Reader MCP Server

> Reqable Capture Reader MCP Server — iambond50-svg-reqable-mcp. Use this tool when you need to analyze and inspect local HTTP capture records and REST API test data through natural language queries. It solves problems related to debugging, testing, and optimizing API interactions by providing read-only access to request/response details, headers, and statistics. The Reqable Capture Reader MCP Server takes natural language inputs and outputs detailed analysis and insights, making it ideal for use cases where AI assistants require access to local HTTP capture data.

Canonical page: https://skillsregistry.net/skills/iambond50-svg-reqable-mcp  
JSON: https://api.skillsregistry.net/v1/skills/iambond50-svg-reqable-mcp

## Description

Enables AI assistants to query, filter, and analyze local HTTP capture records and REST API test data from the Reqable tool. It provides read-only access to inspect request/response details, headers, and statistics through natural language.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/byi9rzjf2j)
- **Repository:** <https://github.com/iambond50-svg/reqable-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": "iambond50-svg-reqable-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/iambond50-svg-reqable-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/iambond50-svg-reqable-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