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261,896 tools. Last updated 2026-07-05 14:00

"Laravel 12 PHP Framework" matching MCP tools:

  • Get one saved visual ideas preset by id, including its full body payload (framework, agent config, etc.). Call the matching list tool first to discover ids. Free, read-only.
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  • Call when the user wants a visual overview rather than a narrative answer ("show me this week", "chart for today", "next 12 months", "看一下图"). Returns an ASCII chart: `hourly` = 12 two-hour blocks of one day, `weekly` = 7 days, `yearly` = 12 months. The `hourly` mode emits the same hour-resolution scores as `intentions_ask_hour` and is gated behind the Pro subscription on the same terms — on the free tier it returns a `subscription_required` error whose payload suggests `weekly` / `yearly` chart modes or `intentions_ask_day` as alternatives. `weekly` and `yearly` are always free.
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  • Retrieves authoritative documentation directly from the framework's official repository. ## When to Use **Called during i18n_checklist Steps 1-13.** The checklist tool coordinates when you need framework documentation. Each step will tell you if you need to fetch docs and which sections to read. If you're implementing i18n: Let the checklist guide you. Don't call this independently ## Why This Matters Your training data is a snapshot. Framework APIs evolve. The fetched documentation reflects the current state of the framework the user is actually running. Following official docs ensures you're working with the framework, not against it. ## How to Use **Two-Phase Workflow:** 1. **Discovery** - Call with action="index" to see available sections 2. **Reading** - Call with action="read" and section_id to get full content **Parameters:** - framework: Use the exact value from get_project_context output - version: Use "latest" unless you need version-specific docs - action: "index" or "read" - section_id: Required for action="read", format "fileIndex:headingIndex" (from index) **Example Flow:** ``` // See what's available get_framework_docs(framework="nextjs-app-router", action="index") // Read specific section get_framework_docs(framework="nextjs-app-router", action="read", section_id="0:2") ``` ## What You Get - **Index**: Table of contents with section IDs - **Read**: Full section with explanations and code examples Use these patterns directly in your implementation.
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  • Read the contents of a file from a site's container. Max file size: 512KB. Binary files are rejected — use the site's file manager or SSH for binary files. Requires: API key with read scope. Args: slug: Site identifier path: Relative path to the file Returns: {"path": "wp-config.php", "content": "<?php ...", "size": 1234, "encoding": "utf-8"} Errors: NOT_FOUND: File doesn't exist VALIDATION_ERROR: File is binary or exceeds 512KB
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  • 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.
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  • 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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Matching MCP Servers

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    Connects Claude or any MCP client to Laravel Herd, providing 218 tools to manage PHP development environments, Laravel projects, sites, services, database, and more through natural language.
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  • Checks whether a website is readable and citable by AI systems (ChatGPT, Claude, Perplexity, etc.)

  • Sequel, leading Italian digital media consultancy: request a quote, site check, SEO/GEO insights.

  • 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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  • 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" } }
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  • Queries IBGE economic and social indicators. Available indicators: **Economic:** - pib: GDP at current prices - pib_variacao: GDP variation (%) - pib_per_capita: GDP per capita - industria: Industrial production - comercio: Retail sales - servicos: Services volume **Prices:** - ipca: Monthly IPCA - ipca_acumulado: 12-month IPCA - inpc: Monthly INPC **Labor:** - desemprego: Unemployment rate - ocupacao: Employed people - rendimento: Average income - informalidade: Informality rate **Population:** - populacao: Population estimate - densidade: Population density Examples: - GDP: indicador="pib" - IPCA last 12 months: indicador="ipca", periodos="last 12" - Unemployment by state: indicador="desemprego", nivel_territorial="3" - List indicators: indicador="listar" Use a different tool when: - Comparing/ranking localities → ibge_comparar - Census themes → ibge_censo - One municipality's panel → ibge_cidades Behavior: read-only and idempotent — a live GET against the public IBGE SIDRA API. Returns Markdown plus a typed structuredContent payload.
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  • [Design] Add the rules of a correlation framework preset (SAML, OAuth, .NET, Java, Token, AzureAD, or a custom one) to an OctoPerf design project's rule library. Bulk-creates every rule of the framework into the project, skipping rules that are already present (structural dedupe ignoring id/userId, mirrors the OctoPerf UI behaviour). Returns the rules that were actually created. The rules are not yet wired into any Virtual User — call `apply_correlations_to_virtual_user` next on each affected VU to materialise extractors and injections in its action tree.
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  • Retrieve container logs (error, access, or PHP). Requires: API key with read scope. Args: slug: Site identifier log_type: "error" (Nginx/Apache errors), "access" (HTTP request log), or "php" (PHP-FPM errors, WordPress sites only) lines: Number of lines to retrieve (1–500, default: 100) search: Optional keyword filter — only lines containing this string Returns: {"log_type": "error", "lines": ["2024-01-15 ... error ...", ...], "count": 42, "truncated": false} Errors: NOT_FOUND: Unknown slug VALIDATION_ERROR: Invalid log_type or lines out of range
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  • 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.
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  • Get AI Defense Matrix cross-mappings to nine external frameworks: NIST IR 8596, CSA AI Controls Matrix, ISO 42001, Google SAIF, SANS Critical AI Security Guidelines, MITRE ATLAS, OWASP AI Exchange, OWASP LLM Top 10, OWASP Agentic Security Top 10. Each row maps an AI asset class to how that framework applies. Each returned framework also carries a 'concepts' array of the structured IDs (MITRE ATLAS techniques, OWASP risks, ISO clauses) the matrix references for it. Supports a 'buyer' archetype shortcut to scope to the frameworks a particular buyer will care about. Use to translate between framework vocabularies. 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.
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  • Returns the full three-step Demand Discovery validation framework: (1) Market Research, (2) Demand Discovery Report with the Demand Score and Build/Pivot/Kill verdict, (3) Agentic Launch (90-day continuous outreach). Use when a user asks "how do I validate an idea?", "what's the methodology?", or wants to understand the structured approach. Built on the "behavior over opinion" principle. Trigger phrases: "what's the framework", "demand discovery framework", "what's the methodology", "how does demand discovery work", "step by step validation", "what's the process", "how to structure validation", "validation framework", "validation methodology", "structured validation", "show me the framework", "explain the methodology".
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  • Browse the complete Corpus Systemics therapy content catalog. Returns available skills (25-100 sats) and 12-week recovery trajectories (150 sats) for post-concussion, post-COVID, burnout and chronic stress.
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  • Get definitions of all treatment program types (Inpatient Rehab, Detox, PHP, IOP, Outpatient, MAT, Counseling, Sober Living) with duration, intensity, and typical fit. Returns markdown-formatted explanations. Use when the user is uncertain which treatment_type to pass to search_facilities, or asks 'what's the difference between X and Y'.
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  • Get WordPress database information (size, tables, row counts). Requires: API key with read scope. WordPress sites only. Args: slug: Site identifier Returns: {"database": "wp_mysite", "size_mb": 45.2, "tables": 12, "total_rows": 15432}
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  • List competitions accessible on your plan. Free tier: 12 majors. Use the returned `code` (e.g., "PL", "PD", "CL") for downstream calls.
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  • Metadata for a single package by packageId (e.g., "BILLS-118hr1234ih", "FR-2024-05-12"). Returns title, dates, citations, granule count, download links (PDF/XML/MODS).
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  • Compute board feet for lumber. Formula: (thickness_in × width_in × length_in × qty) / 144. One board foot is a piece 1 in thick × 12 in wide × 12 in long.
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