Agentic Tools MCP Server

Context7

Official Remote

Discover Context7 MCP, a powerful tool that injects fresh, version-specific code docs and examples from official sources directly into your AI prompts. Say goodbye to outdated or incorrect API info—Context7 ensures your language model answers come with the latest coding references. By simply adding "use context7" to your prompt, you get precise, reliable library documentation and working code snippets without leaving your editor. Designed for smooth integration with many MCP-compatible clients and IDEs, it enhances AI coding assistants with accurate, real-time context that boosts developer productivity and confidence.

Knowledge Graph Memory

Official

Build and query persistent semantic networks for data management. A basic implementation of persistent memory using a local knowledge graph. This lets Claude remember information about the user across chats.

Provides a knowledge graph-enhanced retrieval system that combines vector search with graph-based relationships for persistent memory and contextual information retrieval

T

Think Tool

Remote

Provides a structured thought process management system for maintaining explicit reasoning steps, policy verification, and tool output analysis through persistent memory storage

Maintains persistent project context through a structured Memory Bank system of five markdown files that track goals, status, progress, decisions, and patterns with automatic timestamp tracking and workflow guidance for consistent documentation across development sessions.

Basic Memory

Official

Knowledge management system that builds a persistent semantic graph in markdown, locally.

TypeScript-based server for tracking project context across sessions, enabling persistent knowledge sharing through modular, markdown-based memory management with support for multiple development modes.

S

Structured Thinking

Remote

Structures reasoning processes through defined thought stages, managing a history of thoughts with metadata for transparent, step-by-step problem solving and decision making.

Provides persistent intelligence infrastructure for codebase analysis through hybrid Rust-TypeScript architecture that combines Tree-sitter AST parsing with semantic concept extraction, developer pattern recognition, and SQLite-based persistence to build contextual understanding of codebases over time, learning from developer behavior and architectural decisions.

Provides intelligent memory management and task tracking for software development projects with automatic project detection, semantic search, and SQLite-based persistence that maintains context across coding sessions through memory classification, relationship building, and context-aware task creation.

GitHub

Official Remote

Extend your developer tools with the GitHub MCP Server—a powerful Model Context Protocol server enhancing automation and AI interactions with GitHub APIs. It supports diverse functionalities like managing workflows, issues, pull requests, repositories, and security alerts. Customize available toolsets to fit your needs, enable dynamic tool discovery to streamline tool usage, and run the server locally or remotely. With read-only mode and support for GitHub Enterprise, this server integrates deeply into your GitHub ecosystem, empowering data extraction and intelligent operations for developers and AI applications. Licensed under MIT, it fosters flexible and advanced GitHub automation.

Azure DevOps

Official

Supercharge your workflow by bringing Azure DevOps commands directly into VS Code. The Azure DevOps MCP Server lets you manage projects, builds, releases, repos, work items, test plans, and more from your editor with simple prompts. Focused, easy-to-use tools offer clear access to Azure DevOps data, making routine tasks faster while keeping complexity out of your way. Perfect for anyone who wants to streamline DevOps work inside their coding environment.

Manage and execute tasks efficiently with MCP TaskManager in a queue-based system. This server supports planning by accepting and organizing task lists, and execution by delivering tasks one at a time with feedback on completion. It tracks tasks via unique IDs, ensuring smooth workflow coordination through clear stages: planning, executing, and completing. Designed for integration with MCP clients like Claude Desktop, TaskManager simplifies complex task handling and improves automation by providing structured task queues and real-time updates. Its straightforward action parameters allow easy control over task flow, making it a powerful tool for effective task management.

Integrates with Todoist API to manage tasks, projects, sections, and comments with support for bulk operations, natural language search, and comprehensive CRUD functionality.

S

Sequential Thinking Tools

Remote

Provides structured problem-solving tools for step-by-step analysis, branching thoughts, and adaptive reasoning strategies in complex decision-making processes.

Access Confluence pages and Jira issues via Atlassian API.

Integrates with OmniFocus on macOS using AppleScript to provide complete task and project management capabilities including CRUD operations, perspective views, batch operations, subtask hierarchies, tag management, and custom filtering for productivity workflows.

Provides task management capabilities across Markdown, JSON, and YAML files with tools for creating, searching, updating, and summarizing tasks while automatically managing work-in-progress status transitions.

Streamline Jira Cloud integration with this modular MCP server for AI and automation tools. Easily list scrum boards, track issues, add comments, fetch user info, and search users. Designed for extensibility and easy contribution, it helps automate workflows and connect Jira data to custom agents or bots. The server supports key Jira functionalities like retrieving server details and managing issues, all wrapped in a clean, TypeScript-based structure. Whether enhancing existing tools or building new automation, this project simplifies interacting with Jira Cloud via the Model Context Protocol.

Integrates with TickTick task management platform to create, update, delete, and search tasks and projects with priority filtering, due date queries, and timezone-aware scheduling for personal productivity automation.

A comprehensive Model Context Protocol server that integrates Elasticsearch search with file operations, document validation, and version control to transform AI assistants into powerful knowledge management systems.

A bridge server that connects Agent Communication Protocol (ACP) agents with Model Context Protocol (MCP) clients, enabling seamless integration between ACP-based AI agents and MCP-compatible tools like Claude Desktop.

DollhouseMCP

Official

A comprehensive Model Context Protocol (MCP) server that enables dynamic AI persona management with an integrated GitHub-powered marketplace, allowing Claude and other compatible AI assistants to activate different behavioral personas.

Enables AI assistants to discover and integrate new capabilities by providing tools for searching, retrieving details, and configuring MCP servers across various applications.

Centralizes management of multiple AI services, providing secure API key handling and unified access for streamlined interactions across diverse platforms.

Supabase MCP Server

Official Remote

Connect Supabase projects directly with AI assistants using the Model Context Protocol (MCP). This server standardizes communication between Large Language Models and Supabase, enabling AI to manage tables, query data, and interact with project features like edge functions, storage, and branching. Customize access with read-only or project-scoped modes and select specific tool groups to fit your needs. Integrated tools cover account management, documentation search, database operations, debugging, and more, empowering AI to assist with development, monitoring, and deployment tasks in your Supabase environment efficiently and securely.

A Model Context Protocol (MCP) server for Claude Desktop that connects to 302AI's API services, allowing users to integrate and leverage 302AI capabilities through a structured communication interface.

Tempo Filler MCP Server

Official

A Model Context Protocol server enabling AI assistants to interact with Tempo's time tracking system in JIRA for worklog retrieval, creation, and management.

Enables dynamic creation of customized MCP servers using the MCP SDK to automate setup and manage tools and resources for specialized AI applications.

Aggregates multiple MCP servers into a single unified interface, reducing system resource usage and simplifying configuration management with dynamic reloading and tag-based filtering capabilities.