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650,545 tools. Updated 2026-10-14 08:59

"IntelliJ IDEA" matching MCP tools:

  • Return the full validation timeline for an idea: every event in chronological order, including agent runs, simulations and score changes. Use it to audit exactly what happened to an idea and when. Read-only and free; pass an ideaId you own.
    ConnectorNo auth
  • Generate the ad creative for an idea: tagline, primary and secondary ad text, an image prompt, and sign-up page copy. Requires a complete brief — call idealaunch_draft_brief and idealaunch_update_idea_brief first if it is not. Args: - ideaId (string) - save (boolean): when true, writes the generated copy onto the idea. Defaults to false so the founder can review first. Returns: { ideaId, saved, assets: { tagline, adPrimaryText, adSecondaryText, imagePrompt, signupLearnMoreMarkdown, signupThemePreset }, note }. It does NOT write the sign-up page headline, description or CTA — set those with idealaunch_update_idea_brief, since they are what the conversion-destination check requires. Consumes one of the idea's AI generation turns. Costs no Ad Run credit.
    ConnectorOAuth
  • Aggregate workspace entity data with SQL for counts, rankings, volumes, distributions, and trends. Use this tool instead of list/search tools whenever the user asks "which/top/most/how many/volume/by product/by account/by month". Use for examples like: "Which accounts have the most signals in the last 90 days?" -> entity signal, groupBy account, metric count, filters.timeWindow 90d. Use for examples like: "Show insight volume by product this month" -> entity insight, groupBy product, metric count, filters.since = start of current month. avg(globalScore) averages idea scores; it does not rank individual ideas. For opportunity impact use avg(expansionScore), grouped by product or okr. avg(expansionScore) and groupBy okr are opportunity-only. Use for idea-vote questions like: "Which ideas have the most votes?" -> entity idea_vote, groupBy idea, metric count; "Which accounts voted most this quarter?" -> entity idea_vote, groupBy account, metric count, filters.since = quarter start. For taxonomy questions, call discovery.describe_taxonomy first and use its group key; never guess one. Examples: "How many insights are native-gap by product area?" -> entity insight, groupBy taxonomy; "How many ideas are in each Stage, Category, or PHI level?" -> entity idea, groupBy taxonomy. Set taxonomyGroupKey to the discovered workspace group key and metric to count, sum(arr), or distinct(account). List, multi-select, text, and unassigned values are returned in the workspace's own vocabulary. Validated capability matrix: signal: groups [account, status (processing status), type (evidence kind), month (creation month)], metrics [count, sum(arr), distinct(account)], filters [status, type, accountId, accountIds]; insight: groups [account, product, tag, status, priority, type (insight type), month (creation month)], metrics [count, sum(arr), distinct(account)], filters [status, priority, type, productId, accountId, accountIds, tagId]; opportunity: groups [account, product, tag, status, priority, month (creation month), okr], metrics [count, sum(arr), avg(expansionScore), distinct(account)], filters [status, priority, productId, accountId, accountIds, tagId]; idea: groups [account, product, tag, status, priority, month (creation month)], metrics [count, sum(arr), avg(globalScore), distinct(account)], filters [status, priority, productId, accountId, accountIds, tagId]; idea_vote: groups [idea, account, product (idea product), tag (idea tag), status (idea status), priority (idea priority), month (vote month)], metrics [count, sum(arr), distinct(account)], filters [status, priority, productId, accountId, accountIds, tagId]; initiative: groups [product, tag, status, priority, month (creation month)], metrics [count], filters [status, priority, productId, tagId]; account: groups [account, status (lifecycle stage), type (company size (employees)), month (creation month)], metrics [count, sum(arr), distinct(account)], filters [status, type, accountId, accountIds]. Group meanings also apply to matching filters. timeWindow/since and month use createdAt (votedAt for idea_vote), not activity or revenue history. Accounts include all lifecycle stages, not only customers; account sum(arr) is recorded ARR, missing values contribute zero. Taxonomy defaults to 30d and supports insight/idea with count, sum(arr), distinct(account). Do not fetch raw insights/signals/accounts/ideas and count them in model context when this tool can compute the aggregate.
    ConnectorOAuth
  • List the org's ideas — the native, votable idea backlog — ranked by vote count (highest first). Each returns its title, status, vote count, author, and the feature it was promoted to (if any). status ∈ new|under_review|planned|promoted|declined (optional filter). Read-only; empty when none. Ideas are distinct from insights: an idea is a proposal a team votes on; an insight is a piece of customer evidence. Resolve an idea id here before update_idea / vote_idea / promote_idea.
    ConnectorNo auth
  • Promote an idea into a roadmap feature: creates a feature from the idea (name + description), stamps the idea 'promoted' and links it to the new feature, and returns the feature id. Idempotent — an already-promoted idea returns its existing feature. Resolve the id via list_ideas; only id is required. Align the new feature to an initiative/goal afterwards with update_feature.
    ConnectorNo auth
  • Return your complete idea portfolio in one view: every idea with its VC score, build status and type. Use this for a founder-level overview before drilling into a single idea. Read-only and free; takes no parameters and always scopes to your own account.
    ConnectorNo auth

Matching MCP Servers

  • A
    license
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    maintenance
    Pre-build reality check for AI coding agents — searches 5 real databases (GitHub, Hacker News, npm, PyPI, Product Hunt) to check whether an idea already exists before you build it.
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    MIT

Matching MCP Connectors

  • Rule-based product method: scores an idea, finds its riskiest assumption, sequences the build.

  • Validate SaaS and app ideas with real, managed ad tests from your coding agent.

  • Return the revenue projection for an idea: financial model, growth scenarios and unit economics. Use it to sanity-check whether the business can make money before investing further. Read-only and free; pass an ideaId you own.
    ConnectorNo auth
  • Permanently delete one of your ideas and all of its validation data. This is destructive and cannot be undone, so confirm intent before calling. Not read-only; deleting an already-deleted idea is a no-op.
    Connector
    Destructive
    No auth
  • Claim a marketplace idea and add it exclusively to your portfolio. This spends credits based on the idea VC score tier (49-1499 credits) and can only be done once per idea; no subscription is required. Not read-only and not reversible; check get_credits_balance and the idea tier before calling.
    ConnectorNo auth
  • Point VARRD's autonomous AI in a direction and let it discover edges for you. Give it a topic and it draws from one of the most comprehensive market structure knowledge graphs ever built — containing ideologies and theories, not statistics — so it generates genuinely novel hypotheses rather than overfitting to what already worked. BEST FOR: Exploring a space broadly. Give it 'momentum on grains' and it might test wheat seasonal patterns, corn spread reversals, or soybean crush ratio momentum. It propagates from your seed idea into related concepts you might not think of. Returns a complete result — edge or no edge, stats, trade setup. Each call tests ONE hypothesis through the full pipeline (~$0.25/idea). Call again for another idea. Use 'varrd_ai' instead when YOU have a specific idea to test and want full control over each step.
    ConnectorNo auth
  • Return cross-user intelligence for an idea: anonymous, aggregated insights from similar ideas across the platform. Use it to learn how comparable ideas performed without exposing any private data. Read-only and free; pass an ideaId you own.
    ConnectorNo auth
  • Create a new idea in the signed-in user's workspace. Use this to start a validation test for a new idea, or — by passing websiteUrl — to set up ads for something already shipped. Args: - name (string): short name for the idea - summary (string): a few sentences on what it is, who it is for, and the problem it solves - websiteUrl (string, optional): an existing live URL to send ad traffic to Returns: { id, name, summary, publicSlug, heldForReview, workbenchUrl, nextStep }. Creates nothing on an ad platform and spends nothing. If the content is flagged by moderation the idea is still created but held from public surfaces, reported as heldForReview.
    ConnectorOAuth
  • Send feedback (bug report, idea, other) to the Bilg team. Only call this when the user explicitly asks to send feedback to Bilg. Show them the final text first. Never include secrets, API keys or other people's data.
    ConnectorAPI key
  • Talk to Corbah's agent: ask about the brand, designs, sizing, made-to-order timing, custom kit, or think through an idea together. It answers right away. For anything Jon needs to act on, use send_message or commission_design.
    ConnectorNo auth
  • Free: one complete idea delivered exactly as a paid pull or buyout delivers it — the full unstripped council note with debate log, pain evidence, data strategy, success criteria, and process flow. Inspect the goods before spending a cent.
    ConnectorNo auth
  • Returns available options for ongoing monitoring — price alerts, idea tracking, watchlist monitoring, scheduled digests — with setup instructions and channels (email/Telegram). Call only when the user asks for ongoing monitoring or notifications; never needed to answer a question.
    ConnectorNo auth
  • Return the EU subsidy and grant matches found for an idea by the AI-powered EU Subsidy Scanner, including scheme names and fit. Use this to see which public funding an idea may qualify for. Read-only and free; the underlying scan is produced during validation.
    ConnectorNo auth
  • Return the full evolution history of an idea: VC score changes over time, edit history and version tracking. Use it to understand how an idea has improved or drifted since creation. Read-only and free; pass an ideaId you own.
    ConnectorNo auth
  • Return AI-powered improvement suggestions for an idea, combining corpus benchmarking with VC scoring insights into concrete next steps. Use it to understand exactly what would raise an idea score. Read-only and free; pass an ideaId you own that has already been validated.
    ConnectorNo auth
  • Return domain name suggestions for an idea: available .com, .io and .ai domains matched to the concept. Use it to secure a name once you have decided to build. Read-only and free; pass an ideaId you own.
    ConnectorNo auth
  • Run a Survival Mode simulation that throws a random crisis at your startup and evaluates how your idea would hold up, testing founder resilience. This spends credits and records a simulation result on the idea. Not read-only; pass an ideaId you own and make sure you have enough credits (check get_credits_balance).
    ConnectorNo auth