MCP Server Registry

Allows you to emulate an Android native library, and an experimental iOS emulation

UniProt MCP — protein sequence + function database.

Provides Unity Editor integration with compilation-resilient architecture that survives Unity's domain reload cycles, enabling asset database refresh with error reporting and execution of EditMode and PlayMode tests with comprehensive results.

A Model Context Protocol (MCP) server that provides intelligent educational program recommendations using PostgreSQL as the data backend. The server offers both local MCP protocol support for Claude Desktop integration and cloud-deployed HTTP API endpoints with GitHub OAuth authentication.

AI infrastructure for your agent � code, search, GitHub, databases, LLM calls. Free tier.

Provides unified connectivity to PostgreSQL, MySQL, and SQLite databases with automatic schema discovery, query recommendations, and a web frontend for interactive database exploration and administration.

通用数据库 MCP 连接器：支持 MySQL、PostgreSQL、Oracle、MongoDB 等 17 种数据库，支持 Claude Desktop、Cursor、Windsurf、VS Code、ChatGPT 等 50+ 平台，用自然语言查询和分析数据

MCP server for Upstash

A free, open MCP server for **The Urantia Papers** — 197 papers, 1,626 sections, 14,500+ paragraphs, 4,400+ entities. No authentication required. ## Tools (13) - `search` / `semantic_search` — full-text + vector similarity search across all paragraphs - `get_paragraph` / `get_paragraph_context` — look up by reference (auto-detects 3 ID formats), with optional surrounding context - `get_paper` / `get_paper_sections` / `get_table_of_contents` — paper-level navigation - `list_entities` / `get_entity` / `get_entity_paragraphs` — browse 4,400+ entities (beings, places, concepts, etc.) - `get_random_paragraph` — daily quotes, exploration - `get_audio` — paragraph-level TTS audio URLs ## Resources - `urantia://paper/{id}` — full paper rendered as markdown for RAG/summarization - `urantia://entity/{id}` — entity description with all paragraph references ## Prompts - `study_assistant` — primes the model as a Urantia Papers study guide (optional topic arg) - `comparative_theology` — structured comparison between Urantia teachings and another tradition ## Try it Ask Claude to compare what the Urantia Papers teaches about the soul with Stoic philosophy, or explain Paper 1 in plain language with paragraph citations. Backed by Postgres + pgvector with semantic search, deployed on Cloudflare Workers. MIT licensed; all content (audio, embeddings, AI-generated content) dedicated to the public domain via CC0.

URLhaus MCP — wraps abuse.ch URLhaus malware URL database (free, no auth)

Provides access to SEC company search and SBA resources from US government databases.

The U.S. Census Bureau Data API MCP connects AI Assistants with official Census Bureau statistics.

Simple MCP Server to enable a human-in-the-loop workflow in tools like Cline and Cursor.

With just one line of code, your MCP or agent can record and manage user preferences with the user profile MCP, without requiring any database dependencies.

🧠 The Brain for Your AI — Local-first memory engine for AI agents. Store, recall, and search memories with semantic embeddings. Single Rust binary, zero config, fully offline.

Unique identifier generation API for AI agents. Generate UUID v4 (random), UUID v7 (time-sortable), ULID, or Nanoid. Batch up to 100 at once. Sortable, compact, or cryptographically random formats. Tools: utility_generate_uuid. Use this for database record IDs, session tokens, correlation IDs, or idempotency keys. Returns ready-to-use identifiers in your preferred format. Returns: {ids[], format, count}. No API key required — x402 micropayment $0.001/call on Base L2.

Deploy serverless TypeScript on Val Town: HTTP vals, cron, SQLite, email, OAuth.

Let coding agents query any SQL database safely. Read-only by default and scoped by your policies.

MCP Server for AI Embedding and RAG functionality

Operate your Vector Panda collections: search and upsert vectors, schema, measured indexes, exports.

MCP server for VeDB MySQL

MotiveGrid Vehicle Database is an MCP server that provides AI assistants with grounded vehicle intelligence. Compare cars, retrieve vehicle scorecards, analyze five-year cost of ownership, evaluate safety and driver-assistance features, and generate personalized vehicle recommendations using structured automotive data instead of web search.

Deterministic safety, correctness & cost gate that vets Postgres SQL before your AI agent runs it.

Ask business questions in plain English. Get instant answers from your database, no SQL needed.