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"Understanding Structured Thinking" matching MCP connectors:

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Matching Connector Tools:

  • Receipt checks for expense and bookkeeping agents: normalize receipt text or structured extraction and review arithmetic, confidence and duplicate indicators. Free fixed synthetic example. Caller-supplied analysis: 0.25 USDC on Base via owner-approved x402. No image OCR or automatic bookkeeping.

  • **Can AI actually read your page?** ChatGPT, Perplexity, Claude and Google's AI Overviews fetch pages very differently from your browser — no JavaScript, tight timeouts, and a robots.txt rulebook of their own. Lekta fetches a URL exactly the way they do and grades what survives, **A+ to F**. This is the technical half of **AEO** (answer engine optimization) and **GEO** (generative engine optimization): before a model can cite you, it has to be able to fetch you, parse you, and find one sentence worth quoting. **The loop this server was built for:** `Audit https://mysite.com/pricing with Lekta, apply the fixes it lists, audit it again, and show me the difference.` Your agent gets a graded verdict, a ranked fix plan with the exact markup to paste, and a diff that proves the change landed. Repeat until A+. **Four layers, 100 points:** **Access** 25 — do the ~17 AI crawler tokens get past robots.txt? **Indexability** 25 — how much content survives without JavaScript? **Answerability** 30 — is there a single quotable sentence an engine can lift? **Recency** 20 — can a model tell when this page was last true? **What this is not:** a rank tracker. Lekta will not tell you how often ChatGPT mentions your brand. It tells you whether your page can be read and quoted when it does — the part you can actually fix. **No black box.** Every finding cites its basis — an RFC, a vendor doc, or a dated measurement we ran. The engine is versioned with a public changelog: a score never moves without a published shift table. **Tools:** `lekta_audit` (fresh fetch) · `lekta_report` (cached read) · `lekta_fix_plan` (ranked, paste-ready) · `lekta_diff` (before/after) · `lekta_my_sites` Listing tools is open. Tool calls need a free key from lekta.dev/en/panel/api — send `Authorization: Bearer lekta_…` or `x-api-key`. Cached reads, fix plans and diffs cost nothing; only fresh fetches count against the daily limit. **Topics:** AEO · GEO · AI SEO · LLM SEO · answer engine optimization · generative engine optimization · AI crawler access (GPTBot, ClaudeBot, PerplexityBot, Google-Extended) · JavaScript-free indexability · structured data · content freshness

  • Hosted, no-auth endpoint of feldspar-scan: free deterministic security scan of a public git repository (OSV.dev vulnerable dependencies, secret patterns, config lint) as structured JSON. Tools: scan_repository(url), audit_pricing(). Stateless streamable-HTTP JSON-RPC, rate-limited. Source: https://github.com/project-feldspar-resources/feldspar-scan (MIT). Operated by Feldspar, an autonomous AI agent (Project Feldspar).

  • Turn documents into structured data with Extend: parse (OCR to markdown), extract fields, classify, split multi-document bundles, and fill PDF forms.

  • DXF and PDF/X-4 for AI agents: structured facts, PNG renders, an interactive in-chat viewer.

  • Memwyre is an MCP-native persistent memory layer for AI agents, synchronizing context across Claude Code, Cursor, VS Code, and OpenClaw. Built with a high-precision retrieval architecture (dense vector search, BM25, and cross-encoder reranking), Memwyre achieves a benchmarked 73.1% accuracy on the Long-Context Memory (LoCoMo) benchmark. It provides secure, isolated knowledge vaults with dedicated tools (search_memwyre, save_memory, list_memories) to save and recall structured project decisions.

  • Convert PDF bank statements into structured transactions, accounts, and balances.

  • Structured habitat data and advisory tools for aquariums, marine tanks, terrariums and paludariums.

  • Universal MCP server and 3D Digital Twin for Alicante city. Engineered for LLMs and autonomous agents, this gateway delivers structured JSON-RPC data across urban transit networks (Vectalia buses, TRAM metro, ALC Airport Bus C6), proprietary 3D cartography, and high-frequency smart mobility logs (live parkings, urban buses, tram, flights, and others). Integrates real-time relational transit meshes with strict direction attributes. Exclusive tools for restaurant menus, beaches, taxis, etc

  • Give AI assistants secure access to your organization's structured business data. Search records, create and update records, retrieve schema information, and manage workflow states using natural language. You need two values for every request: x-api-key — your Web Data Forms API Key x-group-id — your Web Data Forms Group ID You can find these in your Web Data Forms accounts group->information page. Preferred method: request header When possible, pass the credentials as HTTP headers: x-api-key: <your-api-key> x-group-id: <your-group-id> This is the preferred option because it keeps credentials out of the URL and is more secure. Fallback method: query parameters If your MCP client does not support custom headers, the server also accepts the credentials as URL query parameters. Example: https://mcp.webdataforms.com?x-api-key=abc123&x-group-id=xyz456 Detailed information here: https://github.com/Web-Data-Forms/mcp-server-docs/blob/main/README.md

  • AgentBridge is the only MCP server that gives AI agents access to structured China knowledge assets—university reports, industry briefings, policy analysis, and real-time web content—through x402 micropayments on Base. Everything is machine-readable, pay-per-use, and settled in USDC.

  • Normalize and verify Japanese postal addresses into structured fields for agents.

  • Access the latest technology news from NewTqnia.com through the Model Context Protocol. Search articles, retrieve structured news content, browse categories, tags, and timelines, and access authoritative technology reporting for AI assistants, research, and automation.

  • Unstructured document processing for LLM pipelines. Upload as PDF/DOCX/TXT any supported files, extract structured data (PII-redacted), build LLM-ready datasets, and search/export results — all via MCP tools (document.process, job.status, job.result, dataset.build, dataset.search, dataset.export).

  • Structured iGaming reference: slot specs & RTP variants, providers, regulators, news and jobs.

  • Turn any webpage into a structured action manifest — clickable, fillable, submittable elements.

  • AI-native real estate discovery with structured property search and market intelligence.

  • Product search and price comparison for AI agents. Search 100M+ products across thousands of retailers by text or image, compare live offers and prices, and turn any merchant URL into structured product data. No API key required to start; add one for unlimited use and affiliate commission.

  • raumnebenan.de is a resource hub focused on actionable product thinking for product owners, product designers, business analysts, product managers, agile coaches, and user researchers. The site provides clear, structured guides and tools to help teams understand users, identify opportunities, validate ideas, and deliver products that create real user and business value.

  • AI-powered eSIM recommendation agent for travelers. Provides real-time coverage checks, package search by country, and pricing across 190+ destinations via structured tool calls. Tools available: - list_countries - full list of supported destinations - check_coverage - network operators by country code - search_packages - filter eSIM plans by country - get_package_details - pricing and data specs - create_checkout - generate payment link for purchase No auth required for search tools. Ideal