# streamlit-mcp

> streamlit-mcp — dkedar7-streamlit-mcp. Use this tool when you need to serve Streamlit apps as native MCP servers, enabling agents to interact with them directly without browser automation. It solves the problem of integrating Streamlit apps with agent-based systems, providing a seamless interface for agents to drive the apps. This tool accepts Streamlit apps as input and outputs a native MCP server interface, ideal for use cases where direct agent-app interaction is required.

Canonical page: https://skillsregistry.net/skills/dkedar7-streamlit-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dkedar7-streamlit-mcp

## Description

Serve any Streamlit app as an MCP server — agents drive it natively, no browser automation.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/dkedar7/streamlit-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": "dkedar7-streamlit-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dkedar7-streamlit-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dkedar7-streamlit-mcp/pull`

---
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