# nestjs-langgraph-mcp

> Use this tool when you need to execute agent workflows and tooling via standard input/output transport, leveraging OpenAI and Ollama models for flexible orchestration. It enables the integration of various tools and agents, supporting experimental MCP server functionality. Ideal for use cases requiring automated workflows and agent interactions, this tool provides a robust interface for inputs and outputs.

Canonical page: https://skillsregistry.net/skills/touseef-ahmad-experimental-mcp  
JSON: https://api.skillsregistry.net/v1/skills/touseef-ahmad-experimental-mcp

## Description

Experimental MCP server built with NestJS and LangGraph, enabling tool execution and agent workflows via stdio transport. Supports OpenAI and Ollama models for flexible agent orchestration.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ilziwi4utb)
- **Repository:** <https://github.com/Touseef-ahmad/experimental-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": "touseef-ahmad-experimental-mcp"
    }
  }
}
```

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