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"How to modify local files" matching MCP servers:

  • A
    license
    A
    quality
    C
    maintenance
    A local MCP server that gives AI agents read access to Roblox experience analytics via the Open Cloud API, exposing 168 metrics and analysis tools for retention, engagement, monetization, and more.
    19
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Competitive intelligence platform with 24 tools. Monitor competitor pricing, content, positioning, tech stacks, and AI visibility — track how ChatGPT, Claude, and Gemini rank your brand.
    33
    2
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Connects AI coding tools to an Atono workspace, offering 41 tools to read and write stories, bugs, epics, subtasks, acceptance criteria, timeboxes, glossary, and AI context so agents work with real product knowledge.
    Apache 2.0
  • A
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    quality
    C
    maintenance
    Official MCP server for FeatureJet, enabling agents to read and act on customer feedback boards: list/search posts, file feature requests, and pull top-voted planned items.
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI orchestrators to manage hierarchical implementation roadmaps with phases, tasks, and plan-change tracking.
    Apache 2.0
  • A
    license
    Not graded
    quality
    B
    maintenance
    A living X-Matrix your AI agent can read, challenge and update — 3-to-5-year objectives, annual objectives, initiatives, KPIs, correlations, review cadences, and a completeness score. Exposes 11 tools and 9 guided prompts over MCP with local or hosted transports.
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    MCP server for noise-reduced X (Twitter) search planning and Feedback-to-Fix engineering handoffs. Enables AI agents to generate structured search plans, filter signals, and build handoff packages via MCP tools.
    1
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    A production-ready MCP server enabling AI assistants to interact with Jira projects, issues, sprints, users, attachments, and worklogs via natural language, with support for both local stdio and remote HTTP transports, dual authentication methods, and enterprise-grade security controls.
    2
    Apache 2.0
  • A
    license
    Not graded
    quality
    B
    maintenance
    A Jira-lite MCP server that enables planning-first workflows for AI-assisted development. It manages tickets as markdown files with YAML frontmatter, guiding agents through epics, stories, tasks, and architecture decision records.
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    An MCP server that provides a drag-and-drop UI for prioritizing list items, allowing users to reorder items interactively and send the prioritized list back to the chat. It supports MCP Apps UI rendering and falls back to text instructions for hosts without UI support.
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI agents to interact with VoteShip feature requests, voting boards, roadmaps, and changelogs, including public board access without credentials and authenticated project administration with a project secret.
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables AI agents to interact with Plane project management APIs, offering tools for managing projects, work items, cycles, modules, initiatives, and more through MCP.
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    MCP server for product analytics using dot plots to visualize individual user activity, with tools for user classification, aha moment detection, retention analysis, and generating shareable HTML reports.
    1
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables LLM clients to answer prospect questions about Timers Studio, a professional broadcast timer platform, with first-party data on competitive positioning, use cases, personas, and recommended plans.
    MIT