Enables compute of live Vedic astrology birth charts, dashas, kundali matches, and AI readings via 22 real API tools.
A Python framework for building MCP servers with tools and LLM adapters. Enables developers to create custom tools for Claude Desktop/Cursor and integrate with various LLM providers including Anthropic, OpenAI, Groq, and Ollama.
Enables real-time communication between applications and AI models using the Model Context Protocol, supporting features like custom tools and multiple transport options for Next.js applications.
A template for deploying MCP servers on Vercel with example tools for rolling dice and getting weather data. Provides a foundation for building custom MCP servers with tools, prompts, and resources that can be deployed to Vercel's serverless platform.
MCP server for structured reasoning with cognitive trap detection, verification, and context compression
Provides repository-scoped safe memory for AI coding agents with just-in-time verification against file changes to ensure facts remain accurate. It links memories to specific code citations and automatically marks them as stale if the underlying source code is modified or deleted.
Verify AI agent tool calls with content-addressed, HMAC-attested receipts. Free third-party verification API for AI agents. Call verify_action(claim, evidence) to get an independent integrity check on whether your claimed action matches the actual evidence. Useful for catching silent failures: incorrect SQL operations, file-op mismatches, API call inconsi
MCP server for offline verification of signed artifacts — receipts, manifests, and audit bundles. MIT licensed, works without accounts or API calls. Tools: self_test, verify_receipt, verify_bundle, explain_artifact.
Enables RTL simulation and hardware verification with Verilator through automatic testbench generation, natural language queries about simulations, waveform analysis, and protocol-aware testing for Verilog/SystemVerilog designs.
MCP server for VertaaUX.ai — run UX & accessibility audits, generate fixes, and monitor quality from your LLM or IDE. 38 tools covering the full audit-to-fix lifecycle across 7 UX categories.
Model context protocol server with Veryfi API access
Enables control of Vestaboard displays through cloud and local APIs, allowing users to send messages, read current displays, and manage animation effects. It provides tools for automatic text-to-character-code formatting and supports various transition strategies for message display.
Enables Android Automotive developers to explore and implement Vehicle Hardware Abstraction Layer (vHAL) properties with intelligent tools for property analysis, source code lookup, implementation guidance, and automated code generation for automotive systems like climate control and seat management.
Connects Roblox Studio to AI coding editors via the Model Context Protocol, allowing AI agents to understand and interact with live Roblox Studio sessions through scene manipulation, scripting, and optional Roblox Open Cloud API integration.
Persistent memory and task board for Claude Code. 14 tools spanning projects, tasks, sessions, and activity logs — backed by Firestore, runs on the free tier. Handoff notes survive context compaction; the next session reads the last handoff and picks up where you stopped.
Feedback MCP Server
Implements a structured development workflow for LLM-based coding with feature clarification, PRD generation, phased development, and task tracking. Guides LLMs through organized feature development from requirements gathering to completion with document storage and progress monitoring.
Automatically collects, summarizes, and documents code from vibe coding sessions, generating multiple document types (README, DESIGN, TUTORIAL, etc.) and publishing them to platforms like Notion, GitHub Wiki, and Obsidian.
An AI-guided conversation-driven development framework that helps build MVPs and POCs rapidly through intelligent dialogue with specialized MCP services.
This runs a mcp server for automatic testing of usability from a users pov


