"Scraping Public Documents" matching MCP servers:

An MCP server for LaTeX that enables AI assistants to check documents for errors, parse compiler logs, and compile LaTeX files, helping them fix documents instead of guessing.

Helping coding agents never make mistakes working with public or private libraries without wasting the context window.

Provides comprehensive code analysis (quality, complexity, linting, dependencies, security) and web scraping capabilities (static/dynamic content, API discovery) for development workflows.

A deterministic MCP server that checks project code alignment with SPEC documents through static analysis without AI involvement.

A read-only MCP server that verifies public GitHub commits against static contracts and returns signed receipts, supporting only exact lowercase 40-character commit SHAs.

Enables scanning Express.js route surfaces for inventory and audit, classifying routes as public/authenticated.

Expose your VS Code workspace's tools — files, terminal, LSP, diagnostics, and images — to remote MCP clients over a public HTTPS tunnel.

A sophisticated server that enables AI assistants to automatically analyze codebases and generate comprehensive, professional documentation.

A production-ready MCP server suite for AI agent tool integration, providing five composable tool modules: code analysis, web scraping, file operations, API integration, and data transformation.

Enables agents to search indexed documents and GitHub repository code through stdio-exposed tools, returning relevant evidence for grounded answers and code reviews.

MCP server for codebase intelligence. Point it at any public GitHub repo to ask questions about code with cited answers, search code, files, symbols, and repo stats.

Enables developers to discover and evaluate contribution opportunities in public GitHub repositories through structured analysis of issues, code, and repository metadata.

Enables processing documents larger than LLM context windows using symbolic commands in Nucleus DSL, executed by the Lattice engine, without chunking or vector databases.

Generates TypeScript types for API functions from Swagger/OpenAPI documents, enabling AI IDEs to automatically create type definitions.

Enables AI agents to generate and retrieve a contextual document for a git branch, summarizing repository state, changes, and freshness, so they can understand the branch without scanning the entire codebase.

Enables static analysis of code snippets and public GitHub repositories using ruff and semgrep through a secure MCP SSE server.

A code review tool that generates detailed HTML review documents by comparing branches or commits, with author filtering and intelligent analysis.

Enables local SOC 2 compliance work by scanning Infrastructure-as-Code, mapping findings to SOC 2 Trust Services Criteria, explaining risks in plain English, and drafting audit-ready documents without uploading files.

Free deterministic security scan of a public git repository (GitHub, GitLab, Codeberg, Bitbucket): vulnerable dependencies via OSV.dev, secret patterns, and config lint, returned as structured JSON. Tools: scan_repository(url), audit_pricing(). Runs locally over stdio (python3 web/mcp_stdio.py or the Dockerfile) and is also hosted at https://project-feldspar.com/mcp. MIT licence, stdlib-only. Buil

MCP server that indexes your codebase's public API at startup and serves it via compact tool responses, saving tokens vs reading source files.