# nanomcp

> Use this tool when you need to bridge MCP tools with OpenAI function calling or require a minimal MCP server demo for testing protocol flow. It solves problems related to weather, file search, and datetime queries by providing a command-line interface for accessing these tools. The nanomcp tool takes in CLI inputs and outputs relevant data, such as weather information or search results, making it ideal for use cases that require a lightweight MCP server implementation.

Canonical page: https://skillsregistry.net/skills/szfmsmdx-nanomcp  
JSON: https://api.skillsregistry.net/v1/skills/szfmsmdx-nanomcp

## Description

A minimal MCP server demo written without the MCP Python SDK that demonstrates the complete protocol flow. It provides weather, file search, and datetime tools, and includes a CLI client that bridges MCP tools with OpenAI function calling.

## 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:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wtew0atdbn)
- **Repository:** <https://github.com/szfmsmdx/nanomcp>

## 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": "szfmsmdx-nanomcp"
    }
  }
}
```

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