"Statistics of China's Population" matching MCP servers:

Feedback collection for AI agents. Create surveys from JSON schema, collect responses from groups of people, and retrieve structured results.

Enables AI assistants to identify and quantify value leaks in organizations using Melt's methodology, providing structured estimates instead of generic vendor lists.

Enables natural language control of OmniPlan 4 on macOS, allowing creation and manipulation of tasks, resources, dependencies, and project metadata through MCP-compatible agents.

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

Enables management of Azure DevOps work items including Epics, Features, User Stories, Tasks, and Bugs through natural language. Supports CRUD operations, WIQL queries, work item relationships, and retrieval of project metadata such as iterations and area paths.

MCP server that transforms Voice of Customer data into actionable customer experience insights through structured analysis and synthesis.

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.

A single source of truth for a product's state, roadmap, and deferred work, read and written equally by you and your AI agent via web dashboard and MCP.

Enables evaluation of digital marketplaces by classifying demand signals, scoring commercial viability, sanity-checking claims, and comparing candidate channels.

Enables management of PMO entities such as actions, risks, issues, projects, deliverables, decisions, KPIs, and objectives through natural language from any MCP-compatible agent.

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.

MCP server for the WeSellTours travel platform, enabling management of hotels, tours, bookings, bugs, features, and more via natural language through 21 tools.

Enables PM radar analysis of Jira projects, providing daily, sprint, and backlog reports with issue context and search.

An MCP server that connects Claude to the ProductBoard API v2, enabling natural language management of notes, entities, members, analytics, Jira integrations, and webhooks.

MCP server for Open Feedback, enabling AI assistants to submit, list, get, update status of, and analyze product feedback via a local HTTP API and JSONL storage.

Enables prioritization of backlog items, analysis of customer feedback, capacity assessment, and dependency mapping for product management.

Enables Claude to read and write product requirement documents section by section via 33 MCP tools, drastically reducing token consumption by loading only relevant sections and summaries instead of the full document.

Enables autonomous agents to calculate dynamic price elasticity of demand and derive marginal revenue maxima from query inputs. It returns structured JSON outputs with execution telemetry for economic modeling and pricing optimization.

Enables natural-language querying of F&S idea data in Joule Work Desktop, supporting idea search, detail retrieval, and dashboard KPIs.