"New product development resources and information" matching MCP servers:

Provides a memory server for coding agents over MCP, capturing and retrieving the meaning and rationale behind code decisions down to the function level. It enables agents to search product memory, get task context, and propose new memories to avoid re-deriving or re-breaking past decisions.

Enables managing software delivery from intake through stabilization via an evidence-gated hierarchical state machine, with tools for transitions, work items, blocking, resuming, and status rendering.

Web scraper and token compressor that converts HTML to clean markdown with 70-80% fewer tokens. Single-page compression and multi-page BFS crawling with auto-fallback fetch modes.

Enables querying New Caledonia public open datasets from data.gouv.nc across 10 domains and 29 tools, including holidays, companies, employment, weather, mining, environment, population, tourism, and transport, via stdio for MCP clients.

MCP server that demonstrates the Resources feature by exposing static and dynamic resources, including contact data and personalized greetings, through MCP.

Exposes generic Jira REST tools and native Jira Product Discovery operations for Jira Cloud, including insights and attachments.

Enables triaging product feedback over a local dataset, including search, theme clustering, severity tagging, and drafting PRD-ready problem statements.

Extracts product information such as price, stock, images, and sizes from e-commerce websites using stealth browsing techniques.

Enables product search functionality via MCP, allowing Claude to search products by keyword with filters, list categories, and retrieve product details.

Gives AI clients the CAM product viability verdict (TEST_CANDIDATE / HOLD / REJECT) from price and costs per order.

Convert PDF, DOCX, XLSX, images, and 20+ formats to Markdown using markdown.new API.

Prevents premature AI coding by transforming vague product ideas into structured specifications, architecture decisions, and acceptance criteria through a series of interrogation and compilation tools.

Enables CRUD operations and search on an Excel-backed product catalog, allowing users to list, search, add, update, and delete products.

Enables AI assistants to discover, retrieve, and compare official international development indicators from sources such as the World Bank, FAOSTAT, WHO, UNICEF, and IMF, while preserving source identifiers, units, and citations.

Provides a governed analytics layer over synthetic product data, exposing MCP tools for investigating product metrics, slicing by dimensions, and comparing periods while preventing unrestricted SQL access.

Enables an agent to run 20 product-management workflows that convert call notes, specs, customer feedback and competitor changes into deduped Linear issues, PRD drafts, roadmap sheets, digests and weekly project updates. Orchestrates only the tools each workflow needs across Granola, Linear, Slack, Notion, GitHub, Stripe, Firecrawl, Tavily and Google Workspace, using credentials kept in the user's own OS keychain.

Enables fetching daily Product Hunt launches as dataset rows with maker names, product website and company domain, X and LinkedIn links, votes, rank, and topics. Users can filter by specific days or days back, topics, keywords, and minimum votes, or skip already-seen launches on a schedule.

Enables users to find people who recently started matching roles at target companies within a specified lookback window, returning flat JSON rows with profile, title, start month, prior role, move type, and source.

An MCP server that exposes SF Supplies product search API to LLM tools. Supports free-text search, autocomplete suggestions, and retrieving filterable attributes.

Klarna-style product discovery for AI shopping agents. Makes product catalogs machine-readable so AI agents can search, compare, and purchase products programmatically.

Searches Ctrip group tour products by keyword and filters, recommends top picks by rating/sales/price, and returns Markdown tables with links.

A local RAG MCP server that indexes project documentation and code into ChromaDB for semantic search, supporting multiple tech stacks and deployment modes.

Enables AI hosts to validate, write to disk, hot-reload, preview, and export single-file HTML prototypes built to the Spark OP design spec, serving them locally at 127.0.0.1:5179 by slug. Also bundles the triggering skill, spec references, templates, and CSS tokens so agents can create, revise, and hand off development-ready prototype HTML through one controlled output path.

Open-source home design and floor plan editor for AI agents: draw walls and rooms, place furniture, doors and windows, build kitchens and wardrobes, check lighting, ergonomics, electrical and plumbing against building codes, and render the plan, 3D views or photorealistic images. Runs in the desktop app, the browser or the hosted server, and every change can be undone.

MCP server that gives an AI assistant tools to search and inspect Amazon product data.

An MCP server that provides real-time weather alerts, forecasts, stock market data, and news information through various API integrations.

Enables users to query official business registers in the UK, Norway, Finland, and France for companies registered within a chosen window, filtered by industry code, activity words, name, or place. Each run returns one flat row per company with its register number, legal form, registration date, industry codes, activity text, address, and share capital, with optional deduplication across runs and a spend cap.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

Enables AI agents to inspect any public domain’s web technology stack, email deliverability and DNS health (MX, SPF, DKIM, DMARC, MTA-STS, TLS-RPT, BIMI), and HTTPS security posture with typed JSON scores and remediation-ready findings, plus history, bulk checks, monitoring alerts, and reverse technology lookups.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.