smithery Safe content atomic mcp-remote

flet-mcp-server

# Flet MCP Server [![PyPI Version](https://img.shields.io/pypi/v/flet-mcp-server)](https://pypi.org/project/flet-mcp-server/) [![PyPI Downloads](https://static.pepy.tech/badge/flet-mcp-server)](https://pepy.tech/project/flet-mcp-server) ![Python Versions](https://img.shields.io/pypi/pyversions/flet-mcp-server) ![License](https://img.shields.io/github/license/Nwokike/flet-mcp-server) An auto-updating Model Context Protocol (MCP) server that dynamically fetches, caches, and serves the official Flet documentation and ecosystem packages directly from GitHub and PyPI. ## Features * **GitHub Tree Sync**: Maps documentation in real-time. * **Intelligent Caching**: Uses `diskcache` for fast responses. * **Ecosystem Discovery**: Finds and verifies official and community Flet packages. * **AI-Optimized**: Tool definitions designed for LLM understanding. ## Tools Included ### 1. `list_flet_controls` List all available Flet UI controls. ### 2. `search_flet_docs(query)` Search the documentation index. ### 3. `get_flet_doc(doc_path)` Get raw Markdown for a specific doc. ### 4. `list_official_packages()` List official Flet extension packages. ### 5. `search_flet_ecosystem(query)` Search for verified community Flet components. ### 6. `get_package_details(package_name)` Fetch version and installation info from PyPI. ## Client Configuration Examples ### 🌌 Antigravity / Cascade Add this to your `mcp_config.json`: ```json { "mcpServers": { "flet-mcp-server": { "command": "uvx", "args": ["flet-mcp-server"] } } } ``` ### 🤖 Claude Desktop Add this to your `claude_desktop_config.json`: ```json { "mcpServers": { "flet-mcp-server": { "command": "uvx", "args": ["flet-mcp-server"] } } } ``` ### 💻 Cursor / Windsurf In your IDE's MCP settings, add a new server: - **Name**: Flet MCP - **Type**: Command - **Command**: `uvx flet-mcp-server`

Cognium trust score
50%
Tier
Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version
1.0.0
Skill type
atomic
Execution layer
mcp-remote
Category
version-control
Source
Smithery
Author type
human
Updated
2026-09-02
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MCP

Resolve flet-mcp-server from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
Swap --scope user for --scope project to commit it to .mcp.json.

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