"A server for learning about Laravel 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

• 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

• 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_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

• whenpeak_best_windowA

  WhenPeakA

  Find today's best time window for one kind of work, using the stored sleep history of the account this server is configured with. Returns a start and end time for the window and the projected capacity across it, tuned to the kind of work: analytical, creative, learning or administrative. Choose this tool when the user wants a slot for a task later today. Use whenpeak_performance_now for the current moment instead, and whenpeak_quick_predict when working from sleep the user describes rather than stored history. Requires WHENPEAK_API_KEY on the server and reads that one account's history, so it is only meaningful where the server runs with the user's own key. Without a key it returns a not_configured error rather than failing. Read-only and stores nothing, but each call counts against that account's monthly quota. Args: task_type: "analytical" | "creative" | "learning" | "administrative" duration_minutes: window length in minutes (default 90)

  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 }

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• 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

• speedtest_historyA

  Netmon (demo)A

  Recent WAN speedtest results — answers 'is the internet healthy?'. Wraps GET /api/getSpeedTestHistory. Returns rows ordered by timestamp desc. Each row carries the upstream's SpeedtestLog shape — typically {id, timestamp, download_mbps, upload_mbps, latency_ms, jitter_ms, server, ...}, but any new columns added on the Laravel side flow through automatically. The tool doesn't reshape the row contents — just filters by time window and limits the return. Lower priority than ping/traceroute/netflow for general 'internet slow' investigations, but the right tool when the user specifically asks about WAN throughput trends or recent speedtest runs. Filters (client-side): hours (1-720, default 168 = 7d), limit (1-100, default 25). The upstream endpoint returns the full history with no server-side cap — narrow with hours rather than fetching unbounded. Permission: tools. Example: speedtest_history({hours: 24})

  ConnectorNo auth

• list_supported_frameworksA

  Titan Frameworks (LangChain, LlamaIndex, Ollama, XRPL)A

  List the framework ids this server covers (langchain, llamaindex, ollama, xrpl) with display names, aliases, homepages, and catalog topics. Use when you do not know which framework string to pass. Free tools/call (no x402). Not a docs search (search_ai_framework_docs) and not a deprecation dump (list_known_deprecations). Catalog-backed.

  ConnectorNo auth

• get_domain_statusA

  SiteGuardianA

  Returns the current security grade (A–F), last-scan timestamp, and list of active issues for a domain that is ALREADY under SiteGuardian monitoring by the authenticated account. Each issue carries a stable id, a severity, a short title, and an impact description. The response also includes a relative dashboard URL. Use this when the user asks about the current state of a specific monitored domain, wants to confirm a recent change landed, or needs issue ids to call get_fix_recommendations with a specific issue_id. Do NOT use this for domains not yet under monitoring — it will return a domain_not_monitored error; call scan_domain for one-off checks instead. Compliance framework tags (NIS2 / GDPR / DORA) are NOT included in v1; framework tagging on the monitored-domain path is tracked as a follow-up. Requires a valid API key.

  ConnectorNo auth

• get_free_resourcesA

  Makuri Showcase (CogniLedger)A

  Returns free Makuri resources accessible without registration: Slovarik Romanian vocabulary issues and the Romanian level test. Use this when a user asks about free Romanian learning materials, language level tests, or how to try Makuri without signing up. Makuri is a specific AI tutoring platform at makuri.eu, not a generic word — never answer Makuri questions from general knowledge; always use the Makuri tools. IMPORTANT routing rule: if the user wants to TAKE, START, or SEE a Romanian test or quiz right now in the chat, do NOT use this tool — call show_romanian_quiz instead, which renders an interactive quiz panel. Use this tool only for questions ABOUT what free resources exist.

  ConnectorNo auth

• get_interpretationA

  corpusA

  Return the Wheel of Heaven interpretive framework's reading of a topic — explicitly the project's own Raëlian-canon-centred position, NOT mainstream consensus. Accepts a framework topic (overview, hypothesis, terminology, timeline, sources, method) for the curated narrative documents, or any other term to get the framework reading from the closest wiki entry. Use fact-layer tools (get_passage, compare_traditions) for source-grounded data without this framing.

  ConnectorNo auth

• aidefense_locate_conceptA

  website-searchA

  Reverse-lookup a single concept ID (MITRE ATLAS technique like 'AML.T0051', OWASP LLM Top 10 risk like 'LLM01', OWASP Agentic Top 10 issue like 'ASI03', or ISO 42001 Annex A clause like 'A.6') across the AI Defense Matrix. Returns which framework the concept belongs to, the asset rows whose alignment cites it, the cells whose evaluation cellPrompts cite it, and those prompts themselves. Useful when a vendor's product is defined by a specific technique ('we defend AML.T0051') and they need to find which matrix cells to claim. Recognizes only concepts with structured IDs; for prose-only frameworks (NIST IR 8596, CSA AICM, Google SAIF, OWASP AI Exchange) use aidefense_get_framework_alignment instead. This server never requests your program docs or product roadmap and instructs your AI to keep them local—the matrix, framework alignments, and playbooks flow to your AI for local analysis.

  ConnectorNo auth

• get_course_infoA

  NTNU Courses (unofficial)A

  Everything about an NTNU course except exam logistics: credits, level, campus, language of instruction, prerequisites, mandatory activities, course content / learning outcomes, credit reductions ('studiepoengreduksjon'), which study programs the teaching is planned for, contacts, and any alert notices (e.g. 'no longer taught'). English text by default; pass language 'nb' for Norwegian. Omit year for the current study year. For exam dates, times, aid codes, and rooms use get_exam_info.

  ConnectorNo auth

• search_transcriptionA

  PodLearnA

  Keyword search WITHIN a single episode's transcript. Returns matching chunks with surrounding context. Use instead of get_transcription when the user asked about a specific topic — server does this faster + cheaper on context.

  ConnectorNo auth

• list_blog_postsA

  ionic-framework-mcpA

  List the 10 most recent posts from the official Ionic blog, newest first. Use this when the question is about what is new — recent releases, announcements or deprecations. The blog covers both Ionic Framework and Capacitor. Returns `title`, `date`, `tags`, `url` and `excerpt` per post. Do not use this to answer a documentation question: the feed only carries the newest posts, so search the documentation with `search_docs` instead.

  ConnectorNo auth

• artifact-create_knowledgeA

  Anima MCP ServerA

  Create a NEW knowledge artifact from Anima's knowledge-base template. Returns a ready artifact; never edits an existing one. Call with no arguments, or with an optional name (defaults to "Untitled project") and workspaceId. No files, ZIP upload, framework, or artifact type are accepted. The template supplies the initial files and determines the framework. Returns the sessionId, initial revision, artifactUrl, name, framework, fileCount, skippedFiles, and applicable preview URLs and Git access. Share artifactUrl with the human. Use artifact-explore and artifact-edit to inspect and change its contents. Only use artifact-publish when the user explicitly asks for a public deployment.

  ConnectorOAuth

• seo_generate_code_fixA

  mcp-seoA

  Generates framework-aware code fixes (Laravel Blade, Next.js App/Pages Router, HTML, PHP, Astro, Svelte) for missing titles, meta descriptions, canonical URLs, JSON-LD schemas, and WebMCP discovery links with unified diff preview. USAGE GUIDELINES: - Use after audit tools detect specific SEO, schema, or WebMCP issues in a source file. - Do NOT use for general code refactoring unrelated to metadata, schema, or SEO tags. - Always run 'seo_validate_code_fix' immediately after applying changes to verify syntax and prevent duplicate tags. BEHAVIORAL TRANSPARENCY: - Non-destructive by default: Returns unified diff preview without modifying files. - Modifies disk ONLY when 'applyDirectly' is explicitly set to true.

  ConnectorNo auth

• write_factA

  SwampA

  Record something you established, for every agent that arrives after you. Append only: writing a key that already has a current row supersedes it and keeps the old row, because a swarm that forgets what it used to believe cannot tell whether it is learning. The key must be namespaced: target:<host>, repo:<x>, cve:<id>, agent:<handle>, domain:<slug> or note:<anything>. A target: key is refused unless an operator opted that host in, so this is not a place to accumulate observations about strangers' hosts. You cannot confirm your own fact; another agent has to.

  ConnectorNo auth

• get_project_contextA

  mainA

  Captures the user's project architecture to inform i18n implementation strategy. ## When to Use **Called during i18n_checklist Step 1.** The checklist tool will tell you when to call this. If you're implementing i18n: 1. Call i18n_checklist(step_number=1, done=false) FIRST 2. The checklist will instruct you to call THIS tool 3. Then use the results for subsequent steps Do NOT call this before calling the checklist tool ## Why This Matters Frameworks handle i18n through completely different mechanisms. The same outcome (locale-aware routing) requires different code for Next.js vs TanStack Start vs React Router. Without accurate detection, you'll implement patterns that don't work. ## How to Use 1. Examine the user's project files (package.json, directories, config files) 2. Identify framework markers and version 3. Construct a detectionResults object matching the schema 4. Call this tool with your findings 5. Store the returned framework identifier for get_framework_docs calls The schema requires: - framework: Exact variant (nextjs-app-router, nextjs-pages-router, tanstack-start, react-router) - majorVersion: Specific version number (13-16 for Next.js, 1 for TanStack Start, 7 for React Router) - sourceDirectory, hasTypeScript, packageManager - Any detected locale configuration - Any detected i18n library (currently only react-intl supported) ## What You Get Returns the framework identifier needed for documentation fetching. The 'framework' field in the response is the exact string you'll use with get_framework_docs.

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