MCP_server_fastapi

A Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.

An MCP server implementation for retrieving information from the AWS Knowledge Base using the Bedrock Agent Runtime.

A Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.

Agentic dispute resolution. File chargebacks on Visa, Mastercard, Stripe Issuing, and Lithic when AI agent purchases go wrong. Verify crypto addresses against sanctions and scam databases before sending (10 chains). Record signed purchase intent as tamper proof evidence. Real time webhook updates. 5% success fee only when you win.

10+ advanced tools for AI agents

Zhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.

The Milvus MCP server enables AI applications to interact with Milvus vector databases using natural language commands. It allows AI models to perform vector searches, manage collections, and retrieve data without writing custom database queries. This integration facilitates seamless access to vector data, enhancing the capabilities of AI tools like Claude Desktop and Cursor.

Repository management, file operations, and GitHub API integration

Web content fetching and conversion for efficient LLM usage

Flag features directly from chat in your code editor, including VS Code, Cursor, Windsurf, Claude Code—any IDE with MCP support.

A Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.

Orbit is an MCP-connected operations layer for Claude and other AI Agents. Connect once and every session — chats, Claude Cowork/Code/ChatGPT Codex and other agents automatically log outputs, reports and decisions to a shared dashboard. Agents read from and write to Orbit's knowledge layer, so context persists across sessions and tools without re-explaining. Includes live agent visibility, trust-weighted memory, broadcast to all agents, and agent creation. Free to start.

A Serper MCP Server

A Model Context Protocol server that provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.

Cross-market (US/JP/KR) financial data over MCP — financials, segments, ownership, valuation metrics & prices, every value traceable to its source filing. 18 tools; one API key works for both REST and MCP.

XGR.Network MCP is a remote MCP server that gives AI agents access to the XGR stack. It supports XDaLa workflow preparation, XGRChain evidence lookup, Explorer data access and programmable process automation through a public streamable HTTP endpoint.

Automatically create a remote browser to complete your specified tasks, developed based on Browser Use + Sandbox. 自动创建一个远程浏览器，完成你指定的任务，基于Browser Use + Sandbox开发。

Long-term memory system for AI agents with semantic search, context management, and multi-format storage. Hierarchical memory architecture (STM → LTM → Deduction), FAISS vector retrieval, SQLite persistence.

An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process.

Browser automation and web scraping

Brazilian Federal Senate open data over MCP — 90 tools across the legislative process, Senate administration and the e-Cidadania portal. Cloudflare Workers, Streamable HTTP, no auth. Responses in pt-BR.

Query realistic LLM cost models without leaving your editor. beforeyouship models the **true monthly cost** of an LLM app architecture — retries, prompt caching, batch discounts, infra overhead, and 3×/10× growth — across GPT-5.x, Claude, Gemini, DeepSeek, and more. Not a token calculator: a planning tool for the design phase, before you commit to a stack. **No API key needed to try it** — demo mode covers the six free-tier models. A Pro key from [beforeyouship.dev](https://beforeyouship.dev) unlocks the full 18-model catalog. ## What you can ask - "How much will a RAG chatbot cost at 10,000 requests/day?" - "Compare Claude Haiku vs Gemini Flash pricing for my workload" - "What's the cheapest model for a multi-step agent at scale?" - "Show me current per-token prices for Anthropic models" ## Tools ### `estimate_cost` Full cost model for an architecture at a given usage level. Returns Naive / Realistic / Worst Case monthly cost per model, 3×/10× growth scenarios, and an opinionated recommendation with reasoning. ### `get_model_prices` Current per-1M-token pricing — input, output, cached input, batch — with context windows and staleness metadata. ### `list_archetypes` Seven preset architecture patterns (simple chatbot, chatbot with history, RAG pipeline, multi-model router, coding assistant, document processor, multi-step agent) used as starting points for estimates. ## Setup **Claude Code:** ​```bash claude mcp add --transport http beforeyouship https://beforeyouship.dev/api/mcp ​``` **Cursor / other clients** — add a remote server: ​```json { "mcpServers": { "beforeyouship": { "type": "streamable-http", "url": "https://beforeyouship.dev/api/mcp" } } } ​``` Add an `Authorization: Bearer bys_...` header with a Pro key for the full catalog. ## Try it > Estimate the monthly cost of a RAG pipeline at 10,000 requests/day

AI image generation using various models

Hosted MCP server for source-provenanced US federal healthcare provider data — NPPES, CMS PECOS, Care Compare, OIG LEIE, Open Payments. Every field returns with its exact federal source, snapshot date, and SHA-256 attestation. Public data only; no PHI. Install: npx -y @fonteum/mcp

Real-time, AI-enriched financial news for AI agents and trading bots. Full-text and ticker search, trending and "actionable-now" feeds, SEC Form 4 insider transactions, and two-ticker read-across — every story carries per-ticker analysis and a 1–10 relevance score. Hosted at mcp.alphai.io over Streamable HTTP; connect with OAuth (no API key to paste), free tier 100 calls/hour.

LinkedIn for AI agents. Agents register structured profiles, list projects, evaluate fit via FitReports, and propose connections — all through a hosted MCP server. 27 tools, zero install. Handlers (humans) approve connections. Built on Cloudflare Workers + KV.