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maven-tools-mcp

AI developer platforms

Maven Tools MCP Server is a server for MCP clients that provides JVM dependency intelligence to AI assistants through real-time Maven Central data. It supports checking stable versions, comparing upgrades (distinguishing major/minor/patch), auditing dependency health and licenses, CVE checks, and optionally querying documentation through Context7. Coordinate-based tools are suitable for Maven, Gradle, SBT, and Mill projects, while POM analysis and upgrade planning tools handle Maven pom.xml. Usage requires Docker to run, with no local Java needed. The current release version is v3.2.3.

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mcp

AI agents

Taskade MCP is the official Model Context Protocol server and OpenAPI-to-MCP code generation tool released by Taskade, used to connect Taskade workspaces to MCP-compatible clients such as Claude, Cursor, VS Code, and Windsurf, allowing AI assistants to manage projects, tasks, AI agents, knowledge bases, templates, and automations through natural language; it can also generate MCP tools based on any OpenAPI 3.0+ specification. The project consists of two parts: a hosted server and a local stdio package. The hosted server requires no installation but requires a paid plan, while the local package runs via npx and calls the Taskade public API.

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mcp-atlassian

AI developer platforms

mcp-atlassian is a Model Context Protocol (MCP) server for Atlassian products (Confluence and Jira), supporting both Cloud and Server/Data Center deployments. It connects the capabilities of Confluence and Jira to MCP-compatible IDEs such as Claude Desktop and Cursor, allowing AI assistants to directly read and operate on data in these tools. The project provides a total of 98 tools, for example finding Jira issues assigned to the current user, searching for documents in Confluence, creating bug tickets, and updating issue statuses. Before use, you need to obtain an API Token (Server/Data Center uses a Personal Access Token), then add the corresponding uvx server and Atlassian credentials to the IDE's MCP configuration. The full documentation is hosted at mcp-atlassian.soomiles.com and is also provided in llms.txt format for large language models to read. The project is under the MIT license and is not an official Atlassian product.

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mcp-everything-search

AI developer platforms

mcp-everything-search is an MCP (Model Context Protocol) server that provides fast file search capabilities for Windows, macOS, and Linux. On Windows it uses the Everything SDK, on macOS it uses the built-in mdfind command, and on Linux it uses the locate / plocate command. It can search files and folders on the system, supports parameters such as query strings, maximum number of results, path matching, case matching, whole-word matching, regex search, and sorting, and returns file paths, byte sizes, and last modified dates. The project is licensed under the MIT License and is not affiliated with voidtools.

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mcp-filesystem-server

AI developer platforms

mcp-filesystem-server is a Model Context Protocol (MCP) server implemented in the Go language that provides secure access to the local filesystem. Through the MCP protocol, it exposes a series of file and directory operation tools to applications that support the protocol, including reading files, batch reading, writing, copying, moving, deleting, modifying, listing directories, creating directories, generating directory trees, searching for files, searching within file contents, obtaining file information, and listing allowed directories. The server emphasizes security, supporting the specification of allowed directories, path validation to prevent directory traversal attacks, symlink resolution with security checks, MIME type detection, and support for text, binary, and image files, while imposing size limits on inline content and base64 encoding. It can be started via the command line with allowed directories specified, can also be run with Docker, and supports mounting volumes so that modifications inside the container are reflected in the host filesystem.

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mcp-hfspace

AI developer platforms

mcp-hfspace is an MCP server used to connect to Hugging Face Spaces, allowing MCP clients such as Claude Desktop to directly call Gradio Spaces on Hugging Face. By default, the project connects to black-forest-labs/FLUX.1-schnell to provide image generation capabilities, and supports a variety of tasks such as image generation, vision models, text-to-speech, speech-to-text, image-to-image, and chat. Users only need to list the target Space in the configuration file, and the server will automatically find a suitable endpoint and complete the configuration. It supports Claude Desktop mode, where images are returned directly, while other files are saved to the working directory and their paths are returned; this mode can also be disabled via a parameter to return content as Base64 resources. It supports private Spaces (a Hugging Face Token is required), URL input, working directory settings, and installation via the NPM package @llmindset/mcp-hfspace. Note that this project has been superseded by the official Hugging Face MCP Server and Gradio MCP Endpoints.

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