"Understanding Integrated Knowledge Graphs" matching MCP servers:

Provides centralized knowledge management for projects, allowing users to store, search, and maintain project-specific knowledge that persists across sessions.

Manages projects, requirements, and knowledge entries with full-text search via SQLite FTS5. Provides 19 MCP tools for AI assistants to create, update, search, and delete project data.

Provides tools for managing project knowledge graphs, enabling structured representation of projects, tasks, milestones, resources, and team members.

MCP server for Claude Code agents to manage persistent shared task boards with dependency graphs, atomic claims, and git-bound tasks.

Enables personal workflow management by turning Notion into a task and knowledge system via slash commands and 19 integrated MCP tools. It supports project-based task tracking, subtask management, and automated note summarization directly through the Claude interface.

MCP server for coding-os, a cognitive operating system that gives AI agents memory, structure, and discipline. It exposes tools for project management, task tracking, knowledge graphs, and cognition traces to Claude Code and Codex.

A NestJS-based server that enables AI agents to interact with Logseq graphs through its HTTP API for managing notes, journals, and blocks. It features specialized tools for project development tracking, including progress logs, technical decisions, and workflow prompts.

An MCP server that provides 36 tools for interacting with the amoCRM (Kommo) API v4, covering leads, contacts, companies, and tasks. It supports full entity lifecycles, account analytics, and bulk operations with integrated OAuth 2.0 and rate limiting.

Implements the Getting Things Done methodology with custom meeting SOPs, enabling capture, processing, and context-based management of tasks and projects, integrated with AI assistants via MCP.

MCP server for comprehensive YouTrack integration, enabling issue management, work tracking, search, and knowledge base operations.

MCP server for managing workflow topology graphs as pure YAML files, enabling AI agents to read, create, claim, and update task nodes with a strict state machine.

An AI-friendly JIRA integration server using the Model Context Protocol, providing semantic tools for searching and interacting with JIRA issues without requiring JQL knowledge.

Enables agents to read, restructure, validate, and braid plan graphs of plain-text files, allowing them to maintain and execute the plan interactively.

Enables proof-carrying project execution through a read-only remote MCP endpoint and WebMCP tools for managing Project Passports, task graphs, evidence-backed provider comparisons, route approvals, artifacts, verification records, and checkpoints without executing external providers.

TeamMCP is an MCP-native collaboration server that enables AI agents and humans to communicate through shared channels, direct messages, and integrated task management. It provides a persistent layer for real-time collaboration with full-text search and a centralized web dashboard.

An MCP server for intelligent memory and task management with semantic search, automatic task extraction, and knowledge graphs, enabling AI assistants to maintain context and learn project conventions.

Server-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency graphs, quality gates, and actor attribution. Schemas define what agents must produce — the server blocks the call if they don't. Works with any MCP-compatible client.

Centralizes multi-agent team workflows, providing Kanban, audit timeline, scorecards, and event hooks, integrated natively with Hermes Dashboard via the Model Context Protocol.

Enables tracking customer-specific JIRA tickets with full CRUD operations, comments, and Markdown export, integrated with Cursor IDE via MCP.

Enables project management through natural language, allowing users to create, list, and update tasks with SQLite persistence, integrated with Claude Code and deployable over SSE.