"Free Network Graph Visualization Tools (No Account Required)" matching MCP servers:

An MCP server that gives your agent a persistent project brain: vision, architecture decisions, conventions, roadmaps, and automatic session handoff.

Exposes a dependency graph of strategic sourcing artifacts and analyses as an MCP server, enabling navigation of phases, analyses, deliverables, and graph traversal for impact analysis and build order.

Enables coding agents to read and modify GitHub issues, project boards, pull requests, repositories, releases, and Actions through configurable toolsets, with read-only and write-confirmation controls.

A comprehensive MCP server that provides a graph database for tracking software codebase components, their relationships, and associated tasks/goals.

Provides AI agents with secure, allowlisted access to Atlassian Teamwork Graph data (Jira, Confluence, and related services) via the twg CLI, enabling read and write operations over the Model Context Protocol.

Provides structured workflows (phases, gates, coordination) for AI agents, enabling complex task execution with quality enforcement and multi-agent coordination via Model Context Protocol.

A Model Context Protocol server that provides AI assistants with structured access to your Logseq knowledge graph, enabling retrieval, searching, analysis, and creation of content within your personal knowledge base.

A modular multi-server architecture providing development automation, JIRA management, and performance reporting for Claude Code. It features specialized tools for PR health analysis, code reviews, and generating comprehensive team and individual quarterly reports.

MCP server for managing a task graph with live visualization. Enables Claude Code to create, update, and link nodes (tasks, subtasks, ideas, etc.) while a browser viewer displays the graph in real time.

Provides task and project management tools for AI agents, including todo list management, prioritization frameworks like Eisenhower Matrix and RICE scoring, time estimation using PERT, daily standup generation, and sprint burndown calculation.

A production-ready MCP server that connects AI assistants to the D-Tools System Integrator platform, enabling natural language management of AV projects, clients, catalogs, tasks, service orders, and purchase orders.

A Model Context Protocol server providing AI assistants with comprehensive project, task, and subtask management capabilities with project-specific storage.

Provides a read-only MCP interface to Kaiten, letting an agent retrieve cards, spaces, boards, columns, lanes, discussions, checklists, tags, custom properties, sprints and time-tracking reports with paging, filtering and long-text continuation. It also lists card and comment attachments and downloads selected originals as local files, with hashes and safe unique names, for further agent analysis.

Centralized MCP server for spec-driven AI agent workflows, enabling isolated feature management, task tracking, and implementation with handoff and archiving capabilities across multiple projects and developers.

Free service management tools — playbooks, benchmarks, and instant service health analysis. DigitalCore MCP gives you free access to service management expertise directly in your AI assistant. Run a Service Reality Check to score your service health in 60 seconds. Access strategy playbooks for ser

Enables AI agents to interact with the Coherence Network platform, allowing them to browse ideas, record contributions, and access governance features via natural language.

Enables AI assistants to interact with Atlassian Confluence and Jira for searching, updating, and managing content and issues.

A Model Context Protocol (MCP) server that enables interaction with JIRA APIs through Claude Desktop, allowing users to search, create, update, and manage JIRA issues using natural language commands.

Enables AI-assisted field service management through the Service Fusion API, including job lookup, customer management, dispatch, invoicing, and equipment tracking.

A Model Context Protocol (MCP) server that provides AI assistants with full access to the ftrack production tracking API, enabling natural language interactions to query projects, manage tasks, update statuses, and more.

Enables AI agents to use an approved session to inspect capabilities, manage projects and memories, perform bounded reads, and make journaled changes through a stdio interface.

Enables AI agents and their human owners to discover, post, apply for, deliver, review, and settle small online tasks via a marketplace API, with tools for file uploads, event polling, and owner confirmation links.

Production-ready MCP server for enforcing git/PR/Jira workflows with atomic, composable tools. Enables automated branch creation, conventional commits, PR generation, and Jira ticket operations with safety guardrails.

An MCP server that provides shared memory, kanban board, and agent registry for AI agents to collaborate as a team, with a live dashboard for human oversight.

Local task console and MCP bridge for Codex Desktop and Cursor, enabling task tracking, output viewing, and continuation through a unified interface.

Extends AI assistants with specialized tools for Cox Automotive workflows, connecting IDEs and clients to Rally, GitHub Enterprise, New Relic, Salesforce, and more through the Model Context Protocol.

An MCP server that enables interaction with the Jira API to retrieve time-tracking information. It allows users to fetch their logged work hours and specific task details for the current week.

MCP server that exposes project status tools (plan, milestones, RAID items, blockers) allowing AI assistants to retrieve and analyze project information via natural language.

Provides complete FreshBooks integration with 87 tools covering accounting, invoicing, time tracking, expense management, client/project management, and financial reporting through OAuth2 authentication.

Persistent memory and task board for Claude Code. 14 tools spanning projects, tasks, sessions, and activity logs — backed by Firestore, runs on the free tier. Handoff notes survive context compaction; the next session reads the last handoff and picks up where you stopped.

Enables Claude to query your local TimeScribe time tracking database read-only, listing projects and returning work, break and scheduled hours per project or day, plus individual entries and the live running timer, without exporting CSVs. All data stays on your machine with no network access.

Enables AI assistants to manage goals, tasks, weekly schedules, time tracking, reports, notes, and journal entries on a GoalSlot account through MCP tools.

A Python MCP server that gives Claude access to PM workflow data such as sprints, roadmap, blockers, and workload, using synthetic fixture data (no API keys required) and can be forked for real Linear/Jira integration.

Process memory for AI agents and humans that remembers the evolution of a project. Provides MCP tools to create timeline events, search history, explain files, and visualize the evolution graph.

Enables creating scheduled Gantt charts with critical-path analysis from any MCP client using plain-language task descriptions, with no account or API key required.

Provides read-only access to Azure DevOps using your browser session, no PAT required. Enables browsing projects, repos, work items, pull requests, and feeds through MCP tools.

Enables Claude to interact with LifeUp Cloud API on your local network for task management, achievements, and user information. Supports 20 tools including creating, editing, and querying tasks, achievements, and shop items.

Enables AI agents to read and change jobs, job status, customers, quotes with line items, invoices, quote and invoice email, payments, and Scheduler bookings in an account by reusing the user's own signed-in Chrome session, with no official API keys needed. Ships read-only hints and confirmation prompts for tools that reach other people, and can be run over stdio or streamable HTTP.

Connects AI agents to the Ploomes CRM REST API, exposing 56 tools for managing contacts, deals, tasks, pipelines, interactions, quotes, orders, products, fields, users, and account information.

MCP server for DCI API enabling AI models to extract and analyze DCI jobs, components, and topics, with integrations for Google Drive, Jira, GitHub, and Red Hat support cases.