"Information about Snowflake Data Warehouses" matching MCP servers:

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.

A Python MCP server that gives Claude access to PM workflow data such as sprints, roadmap, blockers, and workload, using synthetic fixture data (no API keys required) and can be forked for real Linear/Jira integration.

Enables AI assistants to search new software launches, read product pages, find alternatives, and follow daily rankings from inside a chat using public read-only data.

Deterministic marketing math for AI agents: 62 engines that compute LTV:CAC, CAC payback, pipeline coverage, A/B test significance, budget allocation, pricing and retention from your own numbers. Runs locally with Node 18+, makes no network calls and stores no data.

Enables MCP clients to query the IndeCX public API for survey data, including actions, questionnaires, answers, invites, non-respondents, categories, blocklists, and branches.

An MCP server that connects Claude to ProdPad, giving Claude direct access to your product management data including ideas, feedback, roadmaps, OKRs, and initiatives.

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

Enables AI assistants to query live App Store and Google Play data — keyword demand, rank history, top charts, competitor sets, reviews and ratings — across 100+ countries, directly inside a chat instead of a dashboard. Exposes 35 read-only tools covering app search, ASO keyword profiling, ranking trajectories, and worldwide market comparisons through a remote OAuth-authenticated endpoint.

Enables AI agents to read-only access business intelligence in a Revinho workspace, combining Google Analytics 4, Stripe, and optionally Google Search Console to answer questions about changes, performance, revenue, underperformance, and opportunities.

Enables transforming grounded AI answers into interactive information views such as comparisons, plans, checklists, timelines, and decision views, while preserving a plain-language fallback.

Enables read-only Jira Data Center insights by default, with opt-in audited write tools, sprint and release health summaries, and structured issue search via MCP.

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

Enables AI assistants to interact with RetainQ workspaces, including querying retention metrics, managing flows, analyzing churn data, and handling customers, offers, opportunities, and feedback.

Integrates with Aha.io product management platform, enabling offline data synchronization, semantic search, and workflow automation via natural language.

Turns an unstructured business note into deterministic, explainable signals for revenue, automation, risk, urgency, and data, returning a score, priority, evidence, and a suggested next action. This lets an AI assistant assess and prioritize business opportunities through an auditable, locally computed tool.

Headless MCP server for Simpson Strong-Tie product data. Provides AI agents with structural connector lookups, load calculations, code compliance verification, and engineering specifications.

Turns product ideas into implementation-ready planning packages including PRD, requirements, user flow, wireframes, data schema, API contracts, and SDK boundaries, with an MCP handoff for coding agents.

Enables Claude Code to query a trained sentiment model and Amazon Electronics review analytics through typed, read-only tools. Supports sentiment classification, statistics, keyword and similar-review search, product summaries and comparisons, negative aspect analysis, and model information.

Enables querying PostHog analytics data by fetching recent events, searching user profiles, and listing saved insights over MCP.

Enables read-only access to Product Hunt data, including launches, post details, comments, topic search, and user profiles, through MCP tools over Streamable HTTP.

Enables Claude to read Jira CSV/JSON backlog exports, audit tickets for test readiness, and generate validated Gherkin acceptance scenarios tied to ticket criteria. It also tracks acceptance-criteria coverage and flags ambiguities or missing information for Product Owner follow-up.

An MCP server that enables LLMs to interact with NEXT structured data, providing tools for retrieving highlights and clusters.

Enables AI agents to collect, retrieve, and manage feedback on static HTML mockups through 9 MCP tools, with support for local or remote data and stdio/HTTP transports.

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.

Enables interaction with a self-hosted PostHog instance through MCP, providing access to PostHog analytics and product data.

An MCP server that gives an agent product data, feedback, metrics, sandbox analysis, and gated Jira tickets — so it can investigate drops, write PRDs, and file work with evidence.

Gives Claude four decision tools for product management: rank backlog, mine customer feedback, size sprint capacity, and trace dependency risk, all grounded in JSON data.

Gives AI agents direct access to your Arcate product discovery workspace to read signals, browse roadmaps, and ingest new customer feedback. It enables users to search existing data and link signals to initiatives through natural language commands.

A local MCP server for Jira Server/Data Center that enables Claude and Codex to manage issues, comments, transitions, worklogs, and links through the Jira REST API v2 using Basic Auth.

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