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671,287 tools. Updated 2026-10-17 23:20

"A server for finding Python project ideas or resources" matching MCP tools:

  • Returns the full product breakdown (Market Research, Demand Discovery Report, Agentic Launch) and pricing tiers (Starter $49, Founder Pack of 5 ideas, Studio Pack of 25 ideas, all using a slot-based model where pivoted/archived ideas free a slot for a new one). Use when a user asks "what does Demand Discovery AI include?", "how much does it cost?", "what's in the report?", or wants concrete product information. Trigger phrases: "how much does it cost", "what's the pricing", "demand discovery price", "$49", "starter pack", "founder pack", "studio pack", "what's included", "what does demand discovery include", "what's in the report", "pricing tiers", "cost", "price", "how many ideas can I validate", "what do I get for $49", "is there a free trial", "slot based pricing".
    ConnectorNo auth
  • Returns the full product breakdown (Market Research, Demand Discovery Report, Agentic Launch) and pricing tiers (Starter $49, Founder Pack of 5 ideas, Studio Pack of 25 ideas, all using a slot-based model where pivoted/archived ideas free a slot for a new one). Use when a user asks "what does Demand Discovery AI include?", "how much does it cost?", "what's in the report?", or wants concrete product information. Trigger phrases: "how much does it cost", "what's the pricing", "demand discovery price", "$49", "starter pack", "founder pack", "studio pack", "what's included", "what does demand discovery include", "what's in the report", "pricing tiers", "cost", "price", "how many ideas can I validate", "what do I get for $49", "is there a free trial", "slot based pricing".
    ConnectorNo auth
  • Maps only stable Tier1 finding identifiers to approved Tier1 services and public resources. Call after a Tier1 score or email-domain check. Do not submit prose, URLs, customer information, or invented identifiers. This tool performs no arbitrary fetching, makes no contact request, changes nothing, and stores nothing.
    ConnectorNo auth
  • Attach real search data to one article idea that is already in the project — runs one live Google search per target keyword and returns volume bands and the pages currently ranking for each. Use after create_article_suggestion_with_input, or on any existing suggestion the operator wants judged on data instead of instinct. Opportunity score and cluster placement are returned only when the project has a completed research run to compare against; on a project without one they are absent, and start_research_run is what produces them. Do not use to find new ideas or map a niche — that is start_research_run. Consumes no credits; daily- and monthly-capped per account.
    ConnectorNo auth
  • List the user's workspaces AND the projects inside each workspace — projects are returned nested, so this is also the tool for finding a `project_id` (there is no separate list_projects tool). Call it first whenever another tool needs `workspace_id` or `project_id` (`list_transcriptions` filters, `find_subjects`, `list_open_questions`, `search_meeting_transcripts`). Returns id, name, type (personal/team), your role, and per-project recording counts. Cheap — one small response.
    ConnectorOAuth
  • Generate specific video ideas for the signed-in user's own YouTube channel to make next, grounded in what already earns them subscribers there (their winners) and what their audience keeps asking for (their comments). Call this when the user asks what to make, film, or post next; for video ideas, content ideas, or topic suggestions; what their next video should be; to brainstorm ideas; or says they are out of ideas or stuck on what to make. This GENERATES ideas from scratch. To judge or package a specific idea the user already has in mind, use evaluate_idea instead. Needs no input: it reads their real connected YouTube channel directly. Never ask the creator anything first, not for context, not for a link, not for a title you could look up; call it immediately.
    ConnectorOAuth

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  • Run Python code from natural language prompts, with optional PyPI package install.

  • Oregon DMV MCP — live wait times at all 60 Oregon DMV field offices, plus the office

  • Runs the full art-direction review of a project: collisions (frame by frame for films), angles, floating versus resting devices, text overlap, cropping and contrast, composition and color. Use it while building to see every finding, including warnings edit_scene saves anyway; use finish once at the end for the final check, and render_preview to look at the result. Read-only. Every finding has a severity and a fix with ready-to-send edit_scene ops. Returns the findings, errors first, and whether the scene passes.
    ConnectorAPI key
  • Keywords one competitor ranks for in the top 100 that the target does not rank for at all. Use when: "what does competitor.com rank for that we do not", "find gaps against X", content opportunities from a rival. Not for: everything a domain ranks for, use seo_get_ranked_keywords. Finding who the competitors are, use seo_get_serp_competitors. Fresh ideas around a topic, use seo_search_keywords. Returns: List. rows[]: keyword, competitor, competitor_rank, competitor_url, volume, kd, cpc, intent. Sorted by volume. Cost: 5 + 5 per 100 rows. Default 100 rows = 10 credits. Cached 7 days. Example: {"target": "example.com", "competitor": "competitor.com", "limit": 100}
    ConnectorAPI key
  • Runs the full art-direction review of a project: collisions (frame by frame for films), angles, floating versus resting devices, text overlap, cropping and contrast, composition and color. Use it while building to see every finding, including warnings edit_scene saves anyway; use finish once at the end for the final check, and render_preview to look at the result. Read-only. Every finding has a severity and a fix with ready-to-send edit_scene ops. Returns the findings, errors first, and whether the scene passes.
    ConnectorAPI key
  • Amazon search ideas around a seed, from Amazon's related searches, with monthly Amazon search volume. Use when: "what else do people search on Amazon around X", building an Amazon keyword list for a listing or ads. Not for: Google keyword ideas, use seo_search_keywords. Volume for keywords you already have, use amazon_get_keyword_metrics. Returns: List. rows[]: keyword, volume. Cost: 5 + 5 per 100 rows. Default 100 rows = 10 credits. Cached 7 days. Example: {"seed": "standing desk", "limit": 50}
    ConnectorAPI key
  • Create a campaign in the user's Picorn account from agent-authored post ideas (no model is called). The campaign lives in a marketing project: pass workspaceProjectId + workspaceProjectKey from picorn_projects_create, or omit both to create a new project named after the topic. Returns campaignId and one ideaId per idea. Create each post file with the same workspace plus campaignId + ideaId, then schedule it with picorn_posts_schedule. Requires a Picorn access token.
    ConnectorNo auth
  • Generate Terraform (HCL) for EXISTING Control Plane resources from a self link. Single resource (`/org/acme/gvc/prod/workload/api`) or bulk by path depth — `/org/acme` exports the whole org, `/org/acme/gvc/prod/workload` exports every workload in a GVC. Set `generateImports` to get ready-to-run `terraform import` commands for adopting the resources into Terraform state, and `includeDependencies` to pull in referenced resources. Secrets are never exported; a ref or dependency closure that includes them is refused. An unsupported kind is rejected with the supported list. For an in-memory manifest, use convert_to_terraform.
    ConnectorOAuth
  • List the env vars a project's code can use and the resources behind them: (1) resources CONNECTED to the project — usable as process.env.<NAME> in endpoint code now; (2) the owner's other account-level credentials — reusable, but not usable in code until connected; (3) everything Floot can add. Call it to learn what env vars exist before writing backend code, and BEFORE provisioning or requesting any credential (the owner may already have the one you need). Pass query (case-insensitive substring over names, descriptions, types, and env var names) to filter when the account has many resources. Read-only. Details: get_guides('resources').
    ConnectorOAuth
  • Create a new mock REST API project. Returns {id, adminKey, baseUrl, resources[]}. SAVE the adminKey — it is required for admin operations (add_resource, custom_route, snapshots) and is shown only once. Presets seed a full backend: blog (posts/comments/authors), ecommerce (products/orders/customers/reviews), saas (users/teams/events), payments (Stripe-shaped sandbox: charges/refunds/subscriptions/customers + payment_intent create→confirm flow + /v1/balance — no keys), openai (ready OpenAI-compatible mock — chat completions incl. streaming SSE, embeddings with a real 1536-dim vector, models; point OPENAI_BASE_URL at {baseUrl}/v1). Omit preset for a starter project (one seeded "items" resource — live data immediately, reshape or delete it); use "blank" for a truly empty project you fill via add_resource or import_data. The mock API is then live at baseUrl: standard REST CRUD (GET/POST/PUT/PATCH/DELETE), CORS enabled, no auth needed. Every project also serves a mock OAuth2/OIDC provider at {baseUrl}/.well-known/openid-configuration (PKCE code flow, client_credentials, RS256 JWKS — any client_id works) for testing auth flows.
    ConnectorNo auth
  • List security findings for the active project, optionally filtered by status, severity, scanner, or a free-text search. Findings are ordered by severity (most severe first). Pass findingId to get one finding in full, including the raw evidence the scanner captured (request and response) — that blob is omitted from the list to keep it small. Requires project context.
    ConnectorAPI key
  • Get remediation advice for a single finding as GitHub-flavored markdown. When AI Assist is enabled and within budget this is a suggestion written for this exact finding; otherwise it falls back to the static guidance-library text and says so in 'source'. Unlike the other reads this one can spend AI budget, which is why it is a separate tool. Use this for advice on one finding; for the whole library use list_security_guidance. Requires project context.
    ConnectorAPI key
  • Use this when the user asks what a VibeRaven finding id means, for example rls_disabled or env_var_drift, or pastes a finding from a VibeRaven 1.6.12 report. Returns what the rule detects in repository files, why it matters, how to fix it and what it does not check, quoted from viberaven.dev with a source link for each part. It does not read the user's repository, database or Vercel project. Known ids: rls_disabled, rls_no_policies, rls_policy_allows_all_read, rls_policy_allows_all_write, security_definer_function_executable, pooler_port_mismatch, service_role_key_in_client_code, env_var_drift. An unknown id returns found: false and the list of known ids.
    ConnectorNo auth
  • Analyze a whole CAN trace of a UDS diagnostic or flash session and say what went wrong. Accepts candump logs, Vector ASC, PEAK TRC (1.x/2.x), SavvyCAN or python-can CSV pasted as text, and those plus Vector BLF, Wireshark pcap/pcapng (SocketCAN) and ASAM MF4 bus logging uploaded as a file. Reassembles ISO-TP, pairs requests with responses (including 0x78 responsePending), measures P2/P2*, follows sessions and security access, reconstructs RequestDownload/TransferData into an image with CRC32, extracts identification DIDs, and returns a root-cause finding with the frames that show it. Shows an interactive timeline.
    ConnectorNo auth
  • Find which documentation SETS exist whose NAME matches a substring (e.g. "python" → Python 3.x, "react" → React). Returns doc SETS, NOT their content — this does NOT look up a function/method/API name. To search inside a doc for an entry like "Array.map" or "fetch", use search_index (slug + query).
    ConnectorNo auth
  • Append an attributed private project event such as an update, finding, handoff, decision, concern, review, or verification. Requires agent-or-higher project membership. Event history is immutable; correct prior work with a linked superseding event. Potential secrets are rejected before storage.
    ConnectorNo auth
  • Keyword ideas for a seed keyword (English or Arabic) from what people really type into Google — matching terms and questions — each with estimated monthly volume and difficulty. Use for content planning; then call keyword_overview on the best ones.
    ConnectorNo auth