# TalkAPI

> Use this tool when you need to test APIs conversationally, simplifying the process of making HTTP requests, decoding JWT tokens, and validating JSON schemas. It solves problems of complex API testing by providing a natural language interface for users to input requests and receive outputs in a human-readable format. Ideal for use cases where ease of testing and rapid iteration are crucial, such as during API development and debugging.

Canonical page: https://skillsregistry.net/skills/prakhar7824-talkapi  
JSON: https://api.skillsregistry.net/v1/skills/prakhar7824-talkapi

## Description

Enables conversational API testing via MCP, allowing users to make HTTP requests, decode JWT tokens, and validate JSON schemas through natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mm1ajjm2os)
- **Repository:** <https://github.com/prakhar7824/TalkAPI>

## 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": "prakhar7824-talkapi"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/prakhar7824-talkapi` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/prakhar7824-talkapi/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