# MCP

> MCP — saptarshi060787-mcp. Use this tool when you need to integrate local Python tools with OpenAI Agents SDK notebooks, enabling seamless discovery and invocation of tools via a Streamable HTTP endpoint. It solves problems of tool accessibility and automation, allowing for efficient reasoning and tool selection with Groq. The MCP tool accepts local Python tools as input and outputs a persistent HTTP endpoint for notebook integration.

Canonical page: https://skillsregistry.net/skills/saptarshi060787-mcp  
JSON: https://api.skillsregistry.net/v1/skills/saptarshi060787-mcp

## Description

Exposes local Python tools via a persistent Streamable HTTP endpoint, allowing an OpenAI Agents SDK notebook to discover and invoke them while using Groq for reasoning and tool selection.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wat2q2ogra)
- **Repository:** <https://github.com/saptarshi060787/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": "saptarshi060787-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/saptarshi060787-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/saptarshi060787-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