Browser MCP is a Model Context Provider (MCP) server that allows AI applications to control your browser

Browser MCP is a Model Context Provider (MCP) server that allows AI applications to control your browser

voiceform‑fill turns spoken answers into structured form text using advanced models, enabling hands‑free, accurate data entry.

text-parsematch processes text input with pattern matching and retries to ensure structured, validated output for data extraction and content categorization.

outline-ai converts text into structured summaries, proposals, or outlines, automating publication creation with clarity and ease.

copyright-stats-extractor parses headlines/articles on digital copyright enforcement to auto‑extract stats like takedown counts, year, and parties.

django-idea-analyzer provides structured feedback on Django project ideas, assessing feasibility, challenges, and best practices for efficient development evaluation.

Organize bookmarks and browsing history with automated tagging and categorization.

holiday-narrative-parser processes holiday event narratives to extract themes, tone, and key details for analysis and summarization.

Auto-comsight extracts structured insights from text about autonomous systems, categorizing components, challenges, and optimizations.

Toon-troubleshooter identifies and solves Cartoon Network viewing issues via user input and structured responses.

vuln-structure is a package that extracts vulnerability details from raw text and outputs standardized, structured data for security teams.

eco-num-extract turns natural science text into structured numeric data using llmatch-guided outputs.

structuinput transforms natural language inputs into structured outputs like API templates, config files, and data schemas, streamlining development and integration.

retro-audit helps gamers craft authentic, spam‑free retro content with structured feedback for better engagement.

txn-harvester extracts and structures financial transaction data from unstructured text, parsing amounts, dates, and categories for automation.

text-to-struct converts unstructured text into standardized, structured output

bookmuse generates personalized reading lists based on user preferences and reading history.

model-compare evaluates AI models side‑by‑side based on user tasks, rating accuracy, creativity, and efficiency to guide model choice.

unistruct extracts structured data from unstructured text, aiding project planning and management by converting free-form inputs into actionable details.

Layerxtr extracts layer details from text, structuring them for designers to auto replicate images.

keyinfostruct extracts and structures key info from personal texts, highlighting main points, emotions, and suggested actions for better organization.

buildlog-parser extracts structured log data, categorizing status, errors, warnings, timestamps for easy CI analysis.

Chronicle-ai extracts and summarizes historical queries into structured, formatted summaries using llmatch-messages for clarity.

psycopol-synth analyzes psychological-political theories, extracting concepts and relationships to provide clear structured summaries.

Extracts key release details from unstructured text to create clear, structured summaries.

Relnote-extractor parses raw update texts, extracting version, date, features, fixes, and formats into a clean, concise summary.

Transforms raw text into clean, readable articles by removing ads, nav, sidebars, preserving core narrative with structured output.

decodes and analyzes digital certificates and TLS server configurations from text input.

psi-fusion-insights extracts structured data from PsiQuantum fusion tech texts, summarizing techniques, benefits, challenges, and uses.