"Information about playwrights or the Playwright framework" 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

• 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_password_policyA

  The BridgeA

  Set the session token lifetimes on the Bridge app: accessTokenTTL and refreshTokenTTL, both in SECONDS. Only the fields you pass are changed. IMPORTANT — despite the name (kept for parity with `bridge auth password-policy`), this sets token TTLs and NOTHING about passwords: Bridge exposes no password-complexity, rotation or reuse policy on the management API, so if the user asked for password rules, say so instead of calling this. The access token TTL controls how often a client silently refreshes (short is safer, e.g. 900 = 15 minutes); the refresh token TTL controls how long a user stays logged in without re-authenticating (e.g. 2592000 = 30 days). Read the current values with get_auth_config. Before writing app code that consumes this, call get_integration_guide with topic=auth and the framework the app uses.

  ConnectorOAuth

• search_problemsA

  Said It HereA

  Search SaidItHere for real-world software dilemmas, framework gotchas, tool fatigue, and battle-tested community consensus workarounds from Reddit, Hacker News, GitHub, and Stack Overflow. Usage Guidelines: - Primary discovery tool: use FIRST when investigating bugs, library gotchas, unexpected price hikes, or developer complaints by keywords. - Sibling routing: follow up with 'get_problem(slug)' using the discovered dilemma slug to inspect full evidence quotes, sources, and step-by-step workarounds. - Sibling routing: if 0 matching dilemmas are returned, use 'suggest_dilemma' to queue the topic for crawler consensus synthesis. - Do NOT use for generic language syntax lookups or textbook documentation queries. Behavior & Side Effects: - Pure read-only, safe, and idempotent query without side effects. Does not modify user, session, or database state.

  ConnectorNo auth

• get_wedding_informationA

  The Hill KinabaluA

  Retrieve The Hill Kinabalu’s official public wedding venue and 2026/2027 package information, including capacity, event sizes, starting package prices, key inclusions, add-ons without prices, payment structures, and enquiry links. Use this when someone asks about weddings, wedding packages, the event venue, guest capacity, package pricing, or how to enquire. This tool does not check date availability or submit an enquiry.

  ConnectorNo auth

• scan_domainA

  SiteGuardianA

  Runs a free one-off security scan of the given domain and returns its grade (A–F), scan timestamp, and up to three top-priority issues with a permalink to the full report on siteguardian.io. Use this when the user asks for a quick security check of a domain that is NOT yet under SiteGuardian monitoring, or when they want a fresh assessment before subscribing. Results are cached for two hours, so repeated calls about the same domain return the same snapshot and mark it with cached=True. Do NOT use this for domains already under monitoring by the user — call get_domain_status instead for the account-scoped view with framework tags. Do NOT use this to batch-scan many domains as a competitive-intelligence tool; per-source-IP and per-target rate limits bound usage. This tool does not require authentication.

  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

• migrate_to_propelauth_fullstackA

  PropelAuth Integration MCP ServerA

  Returns instructions for migrating from an existing auth provider to PropelAuth in a fullstack Nextjs App Router or Nextjs Pages Router application. If the user is using Next.js as just a frontend (e.g. client-side rendered with or without server routes), use the migrate_to_propelauth_frontend tool. Guidance includes installation and configuration, retrieving user or org information, logging users out, redirecting users to login, and more. 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

  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

• 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

• get_adoption_stageA

  Stratalize IntelligenceB

  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 FinanceB

  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 OracleB

  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