"Villager 0.2.1rc1 Framework MCP Auto Penetration Testing" matching MCP tools:

• generate_framework_analysisA

  jeda-aiA

  Runs a specific framework against a user's inputs and produces a full analysis: prose explanation + structured fields + a self-contained SVG visualisation. Powered by the Jeda.ai · Visual AI framework knowledge graph. ALWAYS call `recommend_framework` FIRST to obtain a valid framework_id -- it returns the exact namespaced slug to pass here. Framework ids are namespaced by category (e.g. SWOT = "cms_swot-analysis", Porter's 5 Forces = "cms_porters-five-forces"); a bare slug like "swot-analysis" will 404. REQUIRED post-processing on success: the response's first text block contains a `curl -fsSL` save-directive for the SVG. Save the file locally and surface it as a file chip — do NOT summarise the visual in prose. Input: framework_id (namespaced slug from `recommend_framework`) + user_inputs object (per-framework field set), OR a free-text `raw_prompt` fallback. Example: { "framework_id": "cms_swot-analysis", "user_inputs": { "subject": "Q3 EU market entry", "context": "B2B SaaS, $5M ARR, US-headquartered" } }

  ConnectorNo auth

• list_investment_thesesA

  crashtestyourstrategyA

  Discover the investment-thesis catalog. Each entry is a descriptive case study that pairs an economic framework with a rule-based portfolio and the synthetic + historical stress evidence for that allocation. Returns one compact summary per thesis (slug, title, one-liner, tags, risk tiers, framework summary, headline finding). Call get_investment_thesis(slug) for the full framework / portfolio / stress evidence, or read the thesis://{slug} resource. Descriptive, not advisory — the agent decides what is suitable.

  ConnectorNo auth

• send_faxA

  SendThisFaxA

  Submit an uploaded PDF for faxing. Step 1 (before this tool): upload the PDF over plain HTTP multipart, using any HTTP client you have — shell, JavaScript fetch with FormData, Python, etc.: curl -F "file=@document.pdf" https://www.sendthisfax.com/api/upload fetch("https://www.sendthisfax.com/api/upload", {method: "POST", body: formDataWithFile}) The response contains fax_public_id and page_count. PDFs must be unencrypted, at most 50 MB and 1000 pages. Step 2: call this tool with the fax_public_id and the recipient fax number. Two modes: - With an API key (Authorization: Bearer stf_live_... on this MCP connection): the fax price is debited from the prepaid credit balance and sending starts immediately — no checkout, no browser. sender_email and billing_country are optional (they default to the key's records). Buy credits at https://www.sendthisfax.com/en/credits. - Without an API key: sender_email and billing_country are REQUIRED and the tool returns a checkout_url the USER must pay in a browser; the fax is sent automatically once paid. In both modes, poll get_fax_status until status reaches "delivered" or "failed" (failures after payment are auto-refunded). For integration testing, +19898989898 is the designated test recipient number.

  ConnectorNo auth

• get-logsA

  mcpA

  Get build and runtime logs for a deployment. If no deployment_id is provided, returns logs for the latest deployment. Use this after calling deploy to monitor build progress and diagnose failures. Logs include: framework detection output, dependency installation, build steps, container startup, and health check results. If a deployment fails, check the logs for error details — common issues include missing dependencies, build errors, or the app not listening on the correct PORT (check the PORT env var — 8080 for auto-detected frameworks, or the EXPOSE value from Dockerfile).

  ConnectorNo auth

• submit_ai_governance_profileA

  australian-ai-governance-frameworkA

  Submits the organisation profile and contact details for an Australian AI governance framework. The profile determines which legislation the framework identifies, so the answers should reflect the organisation's actual circumstances — turnover in particular, since the Privacy Act's small business threshold sits at $3 million and several categories are caught regardless of turnover. Takes the session ID from start_australian_ai_governance_framework together with the questionnaire answers. Writes the profile against the session and stores the supplied name, email and organisation as a contact record. contact.organisation is printed as the document's "Prepared for" heading, so it should be the organisation's name as it should appear on the document rather than a shorthand. Returns the session ID and a status of profile_saved — it does not return the framework, which is retrieved by get_ai_governance_framework. The profile can be re-submitted on the same session: it is overwritten rather than duplicated, the contact record is keyed on the email address, and any framework already generated for that session is discarded. No authentication, and no charge at this step.

  Connector

  Destructive

  No auth

• get_startedA

  KamyA

  Everything needed to go from nothing to a rendered document in one call: the steps to create an API key in the dashboard, and — when you name a `framework` — the install command for the Kamy SDK, the environment variable it reads, and the client-setup snippet for that stack. Add a `template` slug and it also returns a ready-to-paste route handler that renders it. Every argument is optional and each one only adds a section, so calling this with no arguments is the right move when a user has no key yet, and calling it with framework + template is the right move when they are wiring the first endpoint. This replaces the separate install_sdk, generate_integration_code and get_api_key_instructions tools removed in 1.5.0. Pure text: it makes no API call, reads no account state, and needs no API key.

  ConnectorNo auth

• get_startedA

  KamyA

  Everything needed to go from nothing to a rendered document in one call: the steps to create an API key in the dashboard, and — when you name a `framework` — the install command for the Kamy SDK, the environment variable it reads, and the client-setup snippet for that stack. Add a `template` slug and it also returns a ready-to-paste route handler that renders it. Every argument is optional and each one only adds a section, so calling this with no arguments is the right move when a user has no key yet, and calling it with framework + template is the right move when they are wiring the first endpoint. This replaces the separate install_sdk, generate_integration_code and get_api_key_instructions tools removed in 1.5.0. Pure text: it makes no API call, reads no account state, and needs no API key.

  ConnectorNo auth

• get_standardsA

  TsehaA

  Returns the organization's development standards: coding conventions, project structure, and framework-specific rules. Read-only. Call it before writing or reviewing code, so the result follows this organization's rules rather than general defaults. Call it first without a section to get an index of available sections, each with a note on what it covers, then call again with one section id copied from that index; inventing a section id returns a not-found error naming that step. Request only the sections a task needs - the full content of one section can be long. The framework argument is deprecated: use section with the "framework:" prefix instead. It returns prose rules, not data - use get_style_tokens for visual values and get_component for component APIs.

  ConnectorNo auth

• update_notification_preferencesA

  RoutebaseA

  Set YOUR notification preferences for one or more categories. Categories you do not mention keep their current setting. Use resetCategories to drop your override so a category follows the organization default again — an entry in categoriesJson can only set an override, never remove one. Valid categories: api_design, testing, project, mock_server, style_guide, team, portal, monitoring, security, billing, deprecation. Use this for your own preferences; for the organization defaults use update_org_notification_defaults.

  Connector

  Destructive

  API key

• create_pitch_workspaceA

  ZeroRank - Track and improve your AI search visibilityB

  Create a pitch workspace for prospecting: prompts are auto-generated from the prospect's domain and run ONCE (never on a schedule). Consumes 1 of the organization's monthly pitch allowance AND charges every generated prompt to the organization's monthly answer budget (one answer run per prompt per enabled model), so a pitch is far from free — do not create them speculatively. Results land asynchronously — poll get_pitch_status until resultsReady, then use the read tools (get_brand_rankings, list_chats, list_sources) with the new workspaceId. The pitch auto-archives after 30 days; rerun_pitch refreshes it.

  ConnectorOAuth

• get_billingA

  EchoRelayA

  Get the project's credit balances (paid + testing) and which ledger it settles on. `billingModel` is `prepaid` (metered against the credit balance) or `invoiceable` (an Enterprise account, settled on the contract — its credit fields read empty/zero by design, not because it is out of credits). A zero balance is not on its own a reason to stop: live traffic is never refused for an empty balance, and a free-tier project is exempt from live credit billing entirely. Only the testing pool refuses when exhausted (402 `testing_credits_exhausted`). Read this before concluding from any other field that a project cannot send. On a Pro or Scale plan billed for overage, `overage` reports the billing cycle running now: `usedCredits`, `overageCredits` (beyond the allowance and prepaid credits), `amount` so far in minor units of `currency` (null when it cannot be worked out), `windowEndsAt`, `throttled` (true while this cycle's request limit is halved because spend passed five times the plan's credits) and `throttledUntil` (when the halved limit ends, or null); it is absent otherwise. On Pro or Scale, `overageBilling` is the account's own overage setting, changed with set_overage_billing.

  ConnectorNo auth

• get_adoption_stageA

  Stratalize GovernanceB

  Public mode returns FS AI RMF framework reference data only — not org-specific scoring. Use when assessing an organization FS AI RMF governance maturity stage or preparing a regulatory AI roadmap presentation. Returns INITIAL, MINIMAL, EVOLVING, or EMBEDDED classification with stage criteria and remediation priorities. Example: EVOLVING stage organizations have documented AI policies but lack systematic model validation — typical gap to EMBEDDED is 18-24 months and 12-15 additional controls. Connect org MCP for org-specific scoring. Source: FS AI Risk Management Framework. $0.02 USDC per call.

  ConnectorNo auth

• migrate_to_propelauth_frontendA

  PropelAuth Integration MCP ServerA

  Returns instructions for migrating to PropelAuth in a frontend framework such as React, JavaScript, TypeScript, or when using Next.js for just the frontend (e.g. client-side rendered). Guidance includes migrating from several auth providers, such as Clerk or Auth0. Each guidance will include documentation from the auth provider and PropelAuth. It is important to follow the instructions carefully to ensure a successful integration. Make sure to use the 'Installation' guidance first. It is important to call every guidance to ensure a successful integration. Do not update a component/hook/etc from the auth provider until you receive guidance about that component/hook/etc. CRITICAL: If the current implementation uses a traditional OAuth/OIDC flow (e.g., via express-openid-connect, passport-auth0, or similar backend-managed session libraries), you MUST select 'OAuth' as the framework, regardless of the frontend library (React/Vue/etc.). Only select 'React' or 'Javascript' if the current implementation uses a frontend-only SDK (like @auth0/auth0-react) or if using fullstack Next.js.

  ConnectorNo auth

• recommend_frameworkA

  jeda-aiA

  Recommends business / strategy / risk frameworks for a stated problem. Powered by the Jeda.ai · Visual AI framework knowledge graph (~2,100 frameworks across 19 categories, edge-curated). Use when the user describes a business problem ("customer churn rising", "evaluating market entry", "need to assess vendor risk") rather than naming a specific framework. Returns top-N frameworks ranked by fit, each with a concrete reason citing the specific problem signals matched. Input: just the problem statement is enough. Optional faceted filters (`persona`, `regulation`, `decision_stage`) narrow the candidate set. Set `limit` between 3 and 10 for picker UIs. Pair with `generate_framework_analysis` to actually run a recommended framework against the user's inputs. Example: { "problem_statement": "We need to decide whether to enter the EU SMB market in Q3", "decision_stage": "decide", "limit": 5 }

  ConnectorNo auth

• mu_quoteA

  muA

  Ask the MU manufacturing router how a thing could be MADE before you create a product: which supplier(s) can make it, the est. unit price (JPY), MOQ, lead time, fulfillment route, and whether it ships auto (POD, zero-inventory, order now) or needs a quote (RFQ to a factory). Pass `kind` (a known POD kind like tee/hoodie/rashguard_ls, OR a non-POD kind like `gi`/`loopwheel_sweat`/`seamless_knit`/`rashguard_premium`) OR a free-text `description` (e.g. "道着 for a dojo", "a seamless knit sweater") and the router infers the kind. Optional `qty`, `region` (e.g. jp/us), `budget` (JPY/unit). Read-only — creates nothing. No API key required. Options are ranked: buyable-now (auto + in budget) first. If an option's mode is `auto`, follow up with mu_create_product; if `quote`, it needs a human RFQ.

  ConnectorNo auth

• get_leadproof_evaluation_pathA

  LeadProof Sales AgentA

  Use first when a buyer is exploring LeadProof without supplying workflow data. Returns the official no-purchase sequence: buyer guide, fictional example audit, browser-only calculator, public workflow tests, and no-card trial. For a scored workflow diagnosis, use audit_lead_workflow; for replay testing, use get_leadproof_replay_trial; for paid checkout, use get_leadproof_checkout only after authorization.

  ConnectorNo auth

• random_usersA

  Synthetic Data — Random UserA

  Generate synthetic / fake user profiles via the MwVideos random_users API (POST /mwvideos/api/random_users). Returns name, gender, location, email, login, dob, phone, picture, and nat. Use when the user asks for random users, fake people, sample contacts, demo personas, UI fixtures, or test profiles. Pass `results` for how many profiles (default 1, minimum 1) and `isPro` as 0 or 1 when relevant (default 0). Authenticated user_id is injected server-side — do not invent profiles; always call this tool. These are FAKE people for demos and testing, not real PII.

  ConnectorOAuth

• list_projectsA

  TsehaA

  Lists the projects in this organization, each with its id, name, and framework. Read-only, takes no arguments, and returns only the projects the calling credential may see. Call it first in a session: the returned id is the project_id that every other tool in this server requires, and guessing that id fails. It does not return components, packages, or tokens - use list_components, list_packages, or get_style_tokens for those.

  ConnectorNo auth

• get_adoption_stageA

  Stratalize HealthcareB

  Public mode returns FS AI RMF framework reference data only — not org-specific scoring. Use when assessing an organization FS AI RMF governance maturity stage or preparing a regulatory AI roadmap presentation. Returns INITIAL, MINIMAL, EVOLVING, or EMBEDDED classification with stage criteria and remediation priorities. Example: EVOLVING stage organizations have documented AI policies but lack systematic model validation — typical gap to EMBEDDED is 18-24 months and 12-15 additional controls. Connect org MCP for org-specific scoring. Source: FS AI Risk Management Framework. $0.02 USDC per call.

  ConnectorNo auth

• get_adoption_stageA

  Stratalize Real EstateB

  Public mode returns FS AI RMF framework reference data only — not org-specific scoring. Use when assessing an organization FS AI RMF governance maturity stage or preparing a regulatory AI roadmap presentation. Returns INITIAL, MINIMAL, EVOLVING, or EMBEDDED classification with stage criteria and remediation priorities. Example: EVOLVING stage organizations have documented AI policies but lack systematic model validation — typical gap to EMBEDDED is 18-24 months and 12-15 additional controls. Connect org MCP for org-specific scoring. Source: FS AI Risk Management Framework. $0.02 USDC per call.

  ConnectorNo auth

• get_adoption_stageA

  Stratalize Crypto & DeFiB

  Public mode returns FS AI RMF framework reference data only — not org-specific scoring. Use when assessing an organization FS AI RMF governance maturity stage or preparing a regulatory AI roadmap presentation. Returns INITIAL, MINIMAL, EVOLVING, or EMBEDDED classification with stage criteria and remediation priorities. Example: EVOLVING stage organizations have documented AI policies but lack systematic model validation — typical gap to EMBEDDED is 18-24 months and 12-15 additional controls. Connect org MCP for org-specific scoring. Source: FS AI Risk Management Framework. $0.02 USDC per call.

  ConnectorNo auth