# Panaya MCP Server

> Panaya MCP Server — engineersonal-panaya-mcp-sonal. Use this tool when you need to manage and interact with Panaya data through natural language, enabling CRUD operations on entities like projects and defects. It solves problems of data accessibility and automation by exposing Panaya REST APIs as MCP tools, allowing for seamless integration with clients like Claude. This tool is ideal for use cases where natural language interaction with Panaya data is required, providing a user-friendly interface for managing complex data entities.

Canonical page: https://skillsregistry.net/skills/engineersonal-panaya-mcp-sonal  
JSON: https://api.skillsregistry.net/v1/skills/engineersonal-panaya-mcp-sonal

## Description

Exposes Panaya REST APIs as MCP tools for managing entities like projects, requirements, tests, defects, releases, cycles, and business processes. Enables Claude or any MCP client to perform CRUD operations on Panaya data via natural language.

## 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:** api-integration
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fuo67637sa)
- **Repository:** <https://github.com/engineersonal/panaya-mcp-sonal>

## 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": "engineersonal-panaya-mcp-sonal"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/engineersonal-panaya-mcp-sonal` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/engineersonal-panaya-mcp-sonal/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