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"Adding functionality to large language models" matching MCP servers:

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    Wraps the Hertwill dropshipping API to let AI agents discover products, evaluate margins, manage import lists, and sync to Shopify/WooCommerce via natural language.
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    MIT
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    A Model Context Protocol server for FeaturePulse feedback management, enabling AI assistants to query feature requests, analyze MRR impact, and manage product roadmaps through natural language.
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    MIT
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    Enables interaction with PostHog analytics platform, allowing users to list projects, create annotations, and search insights through natural language in Claude Desktop.
    5
    MIT
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    MCP server for Ithura, enabling AI assistants to read and write tasks, sprints, projects, modules, wiki pages, and intake via natural language.
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    MIT
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    Enables creating, managing, and analyzing live audience surveys on rifts.to directly from an AI client. Supports creating surveys, listing them, retrieving results, and closing surveys via natural language.
    Apache 2.0
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    Enables reading and editing Avo tracking plans through natural language, with skills for designing new plans and working with existing ones.
    1
    MIT
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    Enables AI assistants to search Sunex's lens and imager catalog using natural language queries. It provides tools for finding compatible lenses, sensor specifications, and product details through a public Model Context Protocol server.
    MIT
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    MCP server for managing Tokei pre-launch and waitlist campaigns, wrapping the Tokei v1 REST API. Enables querying pages, stats, leaderboards, signups, and performing write operations like cloning pages and uploading media through natural language.
    313
    MIT
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    A federated MCP server that combines IBM's engineering-ai-hub tools with its own authoring and orchestration tools for IBM ELM, enabling AI hosts to manage requirements, models, and compliance through a single interface.
    MIT
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    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
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    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
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    Integrates with Aha.io product management platform, enabling offline data synchronization, semantic search, and workflow automation via natural language.
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    MIT
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    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
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    Enables management of PMO entities such as actions, risks, issues, projects, deliverables, decisions, KPIs, and objectives through natural language from any MCP-compatible agent.
    143
    Server Side Public , v 1