"Information or resources about fast-filesystem-mcp" matching MCP servers:

Enables AI-powered task management with Google Gemini integration, providing CRUD operations, task analytics, CSV export, and natural language interaction for comprehensive project management.

MCP server that enables LLMs to interact with ServiceNow instances for managing incidents, users, stories, workflows, knowledge base articles, and script includes via the FastMCP framework.

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

MCP server integrating OBSS Timepiece Time in Status for Jira, enabling queries about issue durations, status histories, and aggregated metrics via natural language.

A read-only MCP server that gives LLM agents deterministic operational facts about Trello boards, including structural history, card movement, workflow flow, staleness, and due-date information.

MCP server that gives LLMs full visibility into your ws-cli workspace tree, enabling queries about workspaces, git status, tasks, and saved browser tabs.

MCP server for parsing, querying, and analyzing Primavera P6 XER files with 13 tools, 3 resources, and 2 prompts.

Enables defect management on the SEPP platform, allowing users to query defects, retrieve user project information, and set up automated monitoring with alerts for new or unresolved defects via webhook or email.

Enables AI assistants to query and modify Amazing Marvin tasks, projects, labels, and subtasks, using a local mirror for fast reads and the official REST API for writes.

Enables AI assistants to analyze Primavera P6 XER files for insights into critical paths, schedule health, and project performance. It provides 23 specialized tools for managing schedule data, resources, and earned value through local or remote interfaces.

Provides access to Fellow.ai meeting data including transcripts, summaries, action items, and participants, with local SQLite caching for fast searches and offline access.

MCP server for accessing and managing Linear resources like issues, projects, and comments with full CRUD operations and search.

Enables fast, focused reading and surgical editing of Jira Cloud issues and Confluence Cloud pages, including lossless page updates that preserve untouched storage XHTML and rich content. Supports multiple configured Atlassian sites with API-token authentication.

Enables AI agents to manage a filesystem-based issue tracker through typed MCP tools such as list_tasks, create_task, change_task_status, log_work, and get_sprint, instead of shelling out to a CLI. Tasks and sprints are plain folders of Markdown files, so agents can create, claim, comment on, and move work by topic without any database or server state.

Enables AI assistants to manage tasks with tools for adding, completing, and deleting tasks, and resources for viewing all or pending tasks.

Provides capabilities for searching Jira issues using JQL and retrieving detailed issue information.

Enables AI agents to manage backlogs via a local API, supporting task and project operations with fail-fast resilience.

Integrates Rize.io's time tracking and productivity analytics with AI assistants via the Model Context Protocol, enabling natural language queries about productivity metrics, focus sessions, and project management.

Read-only MCP bridge connecting Claude Desktop to Merlin Project on Mac, allowing natural-language queries about plans, activities, resources, and project data.

Enables interaction with Linear resources through an MCP interface, offering functionality for issue management and resource retrieval with rate limiting and error handling support.

Connects your Ashby recruiting data to Claude, enabling natural language queries and management of candidates, applications, jobs, interviews, offers, and team information.

Enables AI assistants to retrieve Trello card information by ID or link, providing access to card details including labels, members, due dates, and attachments through a standardized interface.

Enables Claude to read and analyze project schedule files in OmniPlan (.oplx) and Microsoft Project (.mpp) formats, answering questions about tasks, milestones, resources, and progress.

Enables AI assistants to securely connect to OpenProject workspaces and browse, query, and reason about projects, work packages, saved queries, and related metadata via the OpenProject REST API v3.

Captures comprehensive context about development issues and facilitates human assistance through structured API-based help requests.

Provides project management capabilities through terminal, web UI, or MCP stdio, including plans, code analysis, and filesystem-safe operations.

Exposes a filesystem-driven four-lane kanban board as a read-only MCP server, enabling agents to inspect board state, card details, and lane counts.

Enables Claude and other MCP clients to interact with Plutio's business platform resources including CRM, projects, invoicing, and more through structured tools.

Enables read-only intelligence over a Linear workspace by serving snapshot and change-history data stored in Cloudflare D1, so clients can answer questions about current work, project and milestone progress, member activity, and weekly reports without modifying Linear or invoking an LLM.

Enables AI clients to locally store and share tasks, work activities, long-term memory, knowledge, and people information, while allowing users to review saved content and generate briefings or reports through a web UI.