"The Models Resource" matching MCP servers:

Enables AI assistants to work with Linear via the Model Context Protocol, covering issue/project management, resource and prompt access, webhooks, and OAuth app setup.

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

TruePPM MCP servers ask real questions of your self-hosted TruePPM instance: the critical path, a Monte Carlo slip forecast, sprint status, the risk register, My Work. Answers are computed server-side by the same CPM/Monte Carlo engine the web UI uses, never guessed by a model, and nothing leaves your box.

Enables MCP clients to search and retrieve product management articles, talks, podcasts, related content, live events, and job listings from Mind the Product through read-only tools and resources.

Connects AI agents to the Outset research platform for creating studies, managing recruitment, and querying results via the Model Context Protocol.

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.

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.

Enables external agents to inspect and interact with a local single-project workbench via MCP, providing read-only tools for state, audit, resume, readiness, comparison, impact preview, and repair candidates, while proposals are saved for manual confirmation in the workbench.

A demo MCP server exposing an in-memory todo list via tools (add_task, list_tasks, complete_task), a resource, and a prompt, over both stdio and HTTP transports.

Enables AI applications to query customer feedback, customer profiles, and analytics through the Medallia Query API.

A task-management MCP server that enforces strict gates on task states, WIP limits, and closing reasons, refusing operations that would leave the list ambiguous or rotting.

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.

Enables AI agents to compose and manage consumer-app capabilities, providers, recipes, and evidence across the full product lifecycle.

Provides an MCP Apps interface to the Upvote Club API, enabling task management with an inline progress card UI in Claude.

Enables conversion of business briefs or authenticated saved projects into structured handoffs for the Lovable plugin, with both anonymous basic mode and authenticated full mode including knowledge base, SEO, WCAG, security, and roadmap guidance.

An MCP server that integrates with the Perdoo OKR platform, providing tools to manage objectives, key results, initiatives, KPIs, and strategic pillars.

Turns a rambling app idea into a structured planning canvas of screens, flows, systems, data and open questions inside an existing Claude Code or Codex session, then writes the settled plan back to that session as a spec to build from. Plans are stored in the project's .doan/ folder alongside the code.

Enables any MCP host to search and retrieve public job listings from yuancheng.work through the search_jobs and get_job tools, with read-only access and soft location filtering.

Exposes MCP tools over Streamable HTTP that turn ranked Sygnal signals into voice-ready buyer-intent briefings with analyst verdicts, card and carousel payloads, and session state for a simulated Alexa+ experience. It also surfaces the next recommended action so a voice assistant can guide users through follow-ups, with fallback fixtures when the live signal feed is restricted.

Read-only MCP server that allows interaction with a Jama Connect instance via tools, wrapping the official py-jama-rest-client library.