"Enabling General Models to Think" matching MCP servers:

MCP server for Taiga project management, enabling LLM clients to inspect and manage projects, work items, sprints, comments, attachments, and wiki pages via 6 op-dispatching tools.

Provides access to Upvote.club public API via stdio, enabling task creation, status checking, platform listing, and API reference queries.

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.

MCP server that connects to Jira Data Center, enabling issue search, retrieval, creation, comments, workflow transitions, project listing, arbitrary JQL, and turning meeting notes into structured Jira stories, tasks, and bugs.

MCP server for reading public Featurebase feedback boards, enabling agents to query user feedback, posts, comments, and statistics.

Provides access to Product Hunt data via the Product Hunt API v2, enabling queries for posts, collections, users, topics, comments, goals, and maker groups.

MCP server for interacting with Shortcut (project management) directly from Claude, enabling viewing, searching, and creating stories, epics, and objectives with safe read-only and create operations.

MCP server for Ithura, enabling AI assistants to read and write tasks, sprints, projects, modules, wiki pages, and intake via natural language.

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.

Connects AI tools to the Dovetail API, enabling them to interact with Dovetail features.

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.

Remote MCP server for Pruva, enabling AI assistants to manage products, features, and documents over HTTPS with OAuth authentication.

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.

An MCP server that exposes a Proof workspace to MCP clients, enabling tools for reading/writing concepts, managing ideas and projects, running ideation operators, and more, with live sync and headless authentication.

Enables AI orchestrators to manage hierarchical implementation roadmaps with phases, tasks, and plan-change tracking.

Enables AI coding clients to turn code into a linked product specification and run coherence, coverage, and impact checks to surface gaps and contradictions.

Enables AI agents to query Mixpanel event data, funnel conversion rates, and retention cohorts via MCP tools or natural language.

Manages and authoring of business rules in a scenario studio tool, enabling agents to read, update, link rules, and assign them to capabilities via MCP tools.

Enables retrieval of App Store and Google Play reviews, ratings summaries, and ASO keyword rankings for any app using its store ID or package name.

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.