"Understanding and Building Probability Density Functions (PDF) Models" matching MCP servers:

Enables searching, comparing, and inspecting AI models by pricing, context window, and capabilities via the models.dev catalog.

Analyzes text for overused industry jargon, returning buzzword count, density score, severity level, and flagged terms. Optionally provides humorous critique in roast mode.

A zero-dependency Node.js playground for debugging how MCP clients authenticate to an MCP server over HTTP.

Classifies development task complexity (LIGHT/MEDIUM/HEAVY) and recommends the most cost-efficient AI model per provider, enabling optimized model selection for coding tasks.

MCP server that lists available GitHub Models and compares responses from multiple models for the same prompt.

An MCP server that wraps the @apitomy/data-models library for querying, validating, and editing OpenAPI and AsyncAPI documents.

An MCP server that analyzes local or remote GitHub repositories, providing intelligent code context and structure to AI coding assistants.

An MCP server that helps interact with and compare different GitHub Models, enabling listing, filtering, and comparing model responses.

Turn markdown into designed PDFs with cover page, table of contents, and code blocks that hold across pages. One command from Claude Desktop, Claude Code, Cursor, Cline, Zed, or any MCP-capable client.

Enables creative PDF generation with full design control including colors, shapes, emoji, and Unicode support. Supports everything from simple documents to artistic masterpieces using PDFKit's powerful API.

A quickstart template to build and deploy a remote MCP server on Azure Functions using Python, secured with keys and HTTPS.

A template for deploying MCP servers on Vercel with serverless functions. Includes example tools for rolling dice and fetching weather data to demonstrate basic tool implementation and API integration patterns.

Enables AI-powered extraction and analysis of PDF documents with 40+ specialized tools for text, tables, images, layout analysis, security assessment, and document intelligence. Supports both text-based and scanned PDFs with OCR capabilities.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

MCP server for generating professional PDFs from structured JSON in AI agents like Claude or Cursor, using pure Node.js with embedded fonts and precision text layout.

Enables AI assistants to natively read, edit, and redact PDF documents in place through MCP tools, eliminating manual script execution and layout issues.

Converts Markdown files to Word (.docx) and PDF documents. Supports .dotx templates for branded styling and batch conversion.

A PDF debugging MCP server that inspects low-level PDF structure, including indirect objects, content streams, page trees, and resources.

Generates professional corporate PDF reports from structured JSON specs or raw LLM text output. Enables creating polished multi-page reports with cover page, table of contents, executive summary, sections, tables, and charts.

A layout-aware local MCP server that analyzes PDF structures (multi-columns, tables, LaTeX equations) to save up to 90% context tokens for LLMs in Cursor and Claude Desktop. Powered by https://golocalpdf.com