"Product Hunt" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
- data_previewB
Product Hunt Launches — new & upcoming products (producthuntwatch)
- data_session_funding_packageA
Product Hunt Launches — new & upcoming products (producthuntwatch)
- data_session_fundA
Product Hunt Launches — new & upcoming products (producthuntwatch)
- data_session_queryA
Product Hunt Launches — new & upcoming products (producthuntwatch)
- register
Product Hunt Launches — new & upcoming products (producthuntwatch)
- data_session_openA
Product Hunt Launches — new & upcoming products (producthuntwatch)
Synplex provides inventory health scoring, landed cost calculation, and quick inventory diagnosis tools for Shopify merchants. It enables AI assistants to assess stock performance, calculate true product costs including duties and shipping, and instantly surface inventory issues.
HTTP status for a public library docs URL. Body discarded.
Nephia is a brand monitoring service, and this is its remote MCP server. Claude, Cursor, ChatGPT or any MCP client can read the mentions your brand gets on 14 sources: X, Reddit (posts and comments), YouTube, TikTok, Bluesky, Hacker News, Mastodon, Lemmy, GitHub, Product Hunt, Stack Overflow, any RSS feed, Vinted, and AI answers from ChatGPT, Gemini and Perplexity. Every mention arrives already read, with its sentiment and intent, so an agent can answer plain questions: which complaints came in since Friday, what Reddit said about us this week. The source is an argument, not a tool, so one call reads every source you watch. Sign-in is OAuth in the browser: no API key to copy. The consent screen has three permissions: read your mentions and Queries, change what is running (pause, resume, retire), and spend credits (semantic search and AI passes), which arrives unticked. Every tool description states its cost, so a model can budget before it spends. The server is on every plan, Free included, and reading your own mentions through it costs nothing.
Privacy-first product analytics. Your agent sets up tracking and answers questions about traffic.
The Buildkite MCP server exposes Buildkite product data (pipelines, builds, jobs, and test data) to AI tools, editors, and agents through the Model Context Protocol. It provides capabilities including pipeline creation and management, build monitoring with specialized tools like 'wait_for_build', efficient log querying using Apache Parquet conversion and caching, and OAuth-based authentication for both read-write and read-only access to Buildkite's REST API.