"Ford" matching MCP tools:
- Generate Ford circles to visualize fractions in Farey sequences. This mathematical tool calculates geometric representations of rational numbers for number theory analysis.Apache 2.0
- Analyze Ford circle properties to determine tangency relationships in Farey sequences. Enter an integer to calculate geometric configurations.Apache 2.0
- Compute BFS shortest-path distances from root nodes to sequence deployment order, group migration waves, and size blast radius for impact analysis.MIT
- Update form field settings in a kintone app preview environment. Provide only the type to change; omit code or label to keep current values, then deploy the app to apply changes to the live app.Apache 2.0
- Retrieve a complete fragrance profile including notes, accords, perfumer, and community score by entering its id or slug.MIT
- Add new fields to a kintone app form to customize data capture. Configure field types, options, and defaults in preview; deploy to apply changes.Apache 2.0
Matching MCP Servers
- AlicenseAqualityAmaintenance50 tools and 400 functions for working with Excel/.xlsx spreadsheets — read/write, recalculate formulas, diff, repair broken references, and audit. Built for AI agents.502736MIT
- AlicenseAqualityDmaintenanceEnables Large Language Models to access and manipulate Autodesk Revit models through a pyRevit-based bridge and the Model Context Protocol.20173MIT
Matching MCP Connectors
Agent intake desk for property renovation. Read only, CORS open, fail closed, receipts recompute.
**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
- Delete form fields from a kintone app preview to resolve lookup field issues. Removes up to 100 fields per operation, excluding status, assignee, and category. Verify field codes first.Apache 2.0
- Retrieves field settings from a kintone app: types, labels, validation, options, lookups. Inspect live or pre-live configurations before adding, updating, or deleting fields.Apache 2.0
- List Telegram groups you can link as discussion groups to your channels, enabling comment threads for admins.MIT
- Retrieve form schemas for human review requests in AI workflows, enabling structured data collection during approval processes.MIT
- Submit structured data for human review using customizable forms to integrate approval workflows into AI agents and automations.MIT
- Retrieve a kintone app's form layout to see rows, subtables, and field positions before updating. Understand current arrangement to correctly place new fields or rearrange existing ones.Apache 2.0
- Update kintone app form layout in preview: arrange fields into rows, groups, and subtables. Deploy to apply changes to the live app.Apache 2.0
- Find the best champions for a specific item in Teamfight Tactics (TFT). Input the item ID to receive tailored champion recommendations for optimal gameplay strategy.MIT
- Retrieve all experiments run on a specific dataset by providing its ID or name, with an optional limit to control results.Apache 2.0
- Find FDA food recall enforcement reports sorted newest first, and filter by product, classification, status, or recalling-firm state to assess safety risks.MIT
- Compute BFS hop distances from root nodes to sequence objects for deployment, group migration waves, and size blast radius within N hops.MIT
- Reads a Word document and returns its structure as schema-validated XML, letting you inspect, transform, or archive it without F#/C# or .NET.MIT
- Retrieve the XSD schema for XML validation and autocomplete, so you can author Word-compatible XML in your own editor or pipeline.MIT
- Wrap long input lines at a fixed character width for display-constrained formatting. Breaks lines at exact positions, adapting to terminal width constraints.MIT
- Obtain the JSON Schema shared by generate_json output and create_document_from_json input, enabling validation and autocomplete when authoring JSON in your editor or pipeline.MIT