Browse all content tagged with Development Tools
The Phoenix MCP Server bridges AI assistants with external data sources and services, enabling advanced development workflows and seamless integration with APIs, databases, and filesystems. Its modular design empowers developers to expose resources and tools to LLM-powered workflows, enhancing automation and flexibility for engineering tasks.
The Coda MCP Server provides a standardized way for AI assistants to interact with Coda’s platform, enabling document queries, workflow automation, and unified protocol compatibility for seamless integration with FlowHunt and other AI agents.
The Defang MCP Server bridges AI assistants with external data sources, APIs, and services, enabling standardized, context-aware workflows for developers building advanced AI functionalities within FlowHunt.
The E2B MCP Server empowers AI assistants like Claude to securely execute code in isolated sandboxes, automate developer workflows, and enable dynamic real-world actions from chat interfaces. Integrate with FlowHunt, Windsurf, Claude Desktop, Cursor, or Cline for rapid prototyping, data analysis, and automated testing.
The fabric-mcp-server is an MCP server that exposes Fabric patterns as callable tools for AI-driven workflows, enabling integration with Cline and other platforms for tasks such as claim analysis, summarization, wisdom extraction, and visualization generation.
The git-mcp-go MCP Server enables seamless interaction with Git repositories using Large Language Models (LLMs), allowing AI assistants to automate codebase management tasks like status checks, commits, branching, and more through a standardized protocol.
The JetBrains MCP Server connects AI agents with JetBrains IDEs like IntelliJ, PyCharm, WebStorm, and Android Studio, enabling automated workflows, code navigation, and real-time AI-IDE communication via the Model Context Protocol (MCP).
matlab-mcp-tools is an MCP server that connects AI assistants and development environments with MATLAB, enabling script execution, workspace management, section-based code running, and automated script creation from MCP-compatible clients like Cline and Cursor.
The mem0 MCP Server connects AI assistants with structured storage, retrieval, and semantic search for code snippets, documentation, and coding best practices. It enhances development workflows by enabling persistent coding preference storage and seamless integration with AI-powered IDEs.
GitMCP is a free, open-source Model Context Protocol (MCP) server that connects AI assistants with any GitHub repository for code-aware completions, exploration, and development workflows. It reduces code hallucinations by providing live, contextual access to code, issues, PRs, and file structures for enhanced AI-driven productivity.
The LLM Context MCP Server bridges AI assistants with external code and text projects, enabling context-aware workflows for code review, documentation generation, and project exploration via the Model Context Protocol (MCP).
The Report Generation MCP Server empowers AI agents to automate report creation by connecting to external data sources, assembling documents, and formatting outputs via customizable templates—all through Model Context Protocol (MCP) integration.
The Riza MCP Server bridges AI assistants and the Riza platform’s isolated code interpreter, enabling secure code execution, tool management, and workflow automation via the Model Context Protocol. Integrate advanced code tools and automate coding tasks seamlessly in FlowHunt.
The YouTube Video Summarizer MCP Server lets AI assistants and developers extract and summarize YouTube video content—including titles, descriptions, and transcripts—directly inside their workflows, powering rapid video content understanding and research.
The Gitee MCP Server enables seamless integration of AI assistants with Gitee's APIs via the Model Context Protocol, automating repository management, issue tracking, pull requests, and notifications for both personal and enterprise use.
The Opik MCP Server connects the Opik platform with IDEs and development tools, enabling AI assistants to access project management, prompt templates, traces, and metrics directly from your workflow environment.
The Filesystem MCP Server enables secure, programmatic access to the local filesystem via the Model Context Protocol (MCP). It empowers AI assistants and clients to perform file and directory operations with robust safety controls, supporting automation, codebase management, content search, and more.
The MCP-PIF (Model Context Protocol - Personal Intelligence Framework) Server connects AI assistants with external data, tools, and services for workspace management, project journaling, and structured reasoning. Seamlessly empower your FlowHunt AI workflows with file operations, journaling, and insight development capabilities.
RedNote MCP Server bridges AI assistants and developers with XiaoHongShu (小红书/xhs) by enabling keyword-based note search, direct note and comment retrieval via URL, and persistent authentication management. Enhance your development workflows with seamless access to XiaoHongShu's rich content ecosystem for social content integration, automation, and analysis.
