"Developing a Flutter application with embedded React Native" matching MCP servers:

LLM-optimized MCP server for Obsidian vaults with surgical edits, hash-based concurrency safety, and no whole-file rewrites.

An MCP server that converts Markdown files containing Mermaid diagrams into PDF documents by rendering diagrams as SVG images. It provides a specialized tool to automate document conversion while ensuring all visual charts are correctly embedded in the final output.

Memory bank with Server as SSH support for central knowledge base

Enables secure filesystem access with privacy controls using .mcpignore files to block MCP clients from reading or writing sensitive files and directories while allowing directory browsing and search.

Provides a read-only MCP bridge that lets Claude Web inspect workspace files, git state, and recorded test results while Codex remains the sole executor of changes.

An MCP server that provides file I/O and primitive placement tools, enabling AI assistants to create and manage Altium Designer component libraries.

Enables AI models to access external services including weather data, file system operations, and SQLite database interactions through a standardized JSON-RPC interface. Features production-ready architecture with security, rate limiting, and comprehensive error handling.

A Model Context Protocol server providing file search and question tools for AI models. Enables keyword search in files with line numbers and integration with external chat services.

Enables executing Python code, managing environments and packages, and performing file operations within Docker containers.

Provides secure filesystem access for AI models through the Model Context Protocol with strict path validation, file operations, directory management, and system command execution within predefined directories.

Provides tools for file system operations and text generation using OpenAI-compatible models via the Model Context Protocol, supporting both stdio and HTTP transports.

MCP server that allows AI agents to read, search, summarize, and answer questions about local PDF, DOCX, XLSX, and TXT files through five tools.

An AI-powered file manager that enables natural language filesystem operations including reading, writing, organizing, and managing files within a secure sandboxed workspace through a web interface.

An HTTP MCP server that indexes large documents into exact-line-numbered sections, enabling AI models to locate, read, summarize, and edit parts of a document without ingesting the whole file.

Provides AI clients with safe, structured access to local filesystem, Git repositories, and project contexts, featuring file operations, git status/diff, project management, and built-in code review/bug analysis prompts.

Connects Claude Desktop to your Obsidian vault, enabling reading, writing, searching, and organizing notes locally.

A self-hosted MCP server that enables AI coding agents to read, edit, search, and run code in local projects with human review loops and policy controls.

Enables interaction with the WhkerDB shared PDF editor to manage collaborative rooms, file structures, and real-time annotations. It allows users to upload PDFs and images, manage note trees, and sync data across platforms through natural language.

Enables a voice-enabled AI assistant to call 7 built-in MCP tools including calculator, web search (DuckDuckGo), weather (wttr.in), date/time, and local file read/write/list operations, integrating with Gemini 2.0 Flash for tool-calling conversations.

Provides a secure workspace for AI-driven file management and Python script execution designed to run on Vercel. It enables tools for full file operations and code execution within a sandboxed environment.