"Setting up a streamable HTTP server" matching MCP servers:

Enables AI assistants to execute Python functions and system commands via Streamable HTTP, including bash, Python code execution, file operations, and text searching.

Enables remote file system operations (read/write files, manage directories, search files) over HTTP using OAuth 2.0 authentication, with support for web-based clients and multiple concurrent sessions.

An HTTP-based MCP server that provides filesystem tools and code analysis, enabling LLMs to read, write, list files, and analyze code securely.

Enables AI assistants to read, search, and traverse your reMarkable tablet's library, including handwritten notes via OCR.

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.

Exposes Cursor IDE's MCP tools (codebase search, file operations) as an HTTP API for integration with Open WebUI, n8n, and other automation tools.

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.

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.

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.

Enables MCP-capable LLM clients to read browser screenshots captured by the SnapStack extension, stored locally and served over Streamable HTTP.

Provides sandboxed file operations, web scraping, data transformation, and authenticated HTTP requests with SSRF protection.

Enables AI assistants like Claude to manage personal expenses locally using SQLite. Supports adding, categorizing, summarizing expenses, setting budgets, and exporting data without cloud services.

Provides file system tools, code analysis prompts, async tasks, and secure HTTP transport following the 2025-03-26 MCP specification.

Multi-mode MCP server supporting both Claude Desktop (STDIO) and OpenAI (HTTP/SSE) integrations with file operations including read, write, delete, and search capabilities.

Provides secure, read-only database queries, HTTP GET requests with anti-SSRF protection, and file reading within a restricted directory.

An educational MCP server that exposes system tools (like IP, hostname, file operations, ping) for AI agents to execute via HTTP.

Enables AI assistants such as Claude, Cursor, Continue, and Codeium to manage files and downloads on Synology NAS devices through secure authenticated sessions. Supports Docker, PyPI, stdio, Streamable HTTP, and WebSocket deployment modes.

Provides comprehensive filesystem operations (read, write, list, create, delete, move files and directories) through the Model Context Protocol with Streamable HTTP transport and built-in security through configurable root directory restrictions.

A proof-of-concept MCP server demonstrating various capabilities including mathematical calculations, URL fetching, system information retrieval, data processing, and file operations.

Provides a production-ready Model Context Protocol server with dual STDIO and Streamable HTTP transports, enabling file operations, memory, database queries, RAG, web search, GitHub integration, background tasks, and prompt-based workflows.