API Integration
| Server | Language | Stars | Downloads |
|---|---|---|---|
| Regex Tester API Test, validate and explain regular expressions with match highlighting. x402 micropayment. | — | — | — |
| Region Weather Provide accurate and up-to-date weather information for any city or region worldwide through a simple and standardized interface. Enable AI models and clients to easily fetch weather data without requiring API keys. Deploy quickly with Docker support for seamless integration. | — | — | — |
| Relate Account Python Server Provide identity linkage and analysis by querying user-related information across platforms using web3.bio's GraphQL API. Enable clients to retrieve and analyze user identity bindings efficiently. Facilitate integration via a streamable HTTP MCP server interface. | — | — | — |
| Relay Cross-chain bridge and swap quotes, fee estimation, and transaction tracking via Relay Protocol. | TypeScript | — | — |
| Releases An agent-friendly API for product changelogs. A unified registry via CLI, API, or MCP. | — | — | — |
| reMarkable MCP Server (Read/Write) Read, write, and manage your reMarkable tablet — browse, upload, create folders, move, delete, OCR | Python | — | — |
| Remembra — AI Memory Layer Persistent AI memory with entity resolution, temporal knowledge graph & 11 MCP tools. | Python | — | — |
| RemembrallMCP Persistent knowledge memory for AI agents. Hybrid search, code graph, pgvector. | TypeScript | — | — |
| RemoteAgent RemoteAgent MCP Server is a lightweight, containerized runtime designed to bridge Model Context Protocol (MCP) with modern AI platforms. It enables developers to connect large language models (LLMs) like OpenAI, Anthropic, and local models to external tools, APIs, and data sources through a secure, persistent session layer. With built-in RBAC, session isolation, and support for JSON tool-calling, Raworc MCP Server makes it simple to run deep, multi-agent workflows across frameworks such as LangChain, CrewAI, and AutoGen. By providing a standardized protocol interface, RemoteAgent MCP Server helps teams integrate, orchestrate, and scale AI agents with minimal DevOps effort — production-ready from day one. | — | — | — |
| remote-mcp-server-with-auth Template for a remote MCP server with GitHub OAuth - following best practices for building MCP servers so you can take this as a starting point for any MCP server you want to build! | TypeScript | 293 | — |
| Remote Terminal MCP Complete SSH terminal for Linux with AI/user control and dual-stream visibility | Python | — | — |
| RenderMark Markdown to styled HTML, PDF, DOCX, and slides with themes, diagrams, and math. | TypeScript | — | — |
| @rendershot/mcp-server MCP server for the Rendershot screenshot and PDF generation API | TypeScript | — | — |
| Rendex — Screenshot, PDF & HTML Rendering Capture screenshots, generate PDFs, and render HTML to images. MCP-native for AI agents. | TypeScript | — | — |
| ReNoUn Structural risk telemetry for crypto markets, classifying regimes as bounded, active, or unstable with stability half-life predictions. | — | 0 | — |
| replicate-mcp Official MCP server for Replicate's HTTP API | TypeScript | — | — |
| Reply.io Reply.io is a sales engagement platform used by thousands of B2B sales teams to automate multichannel outreach — email, LinkedIn, calls, SMS, and WhatsApp. The Reply.io MCP server exposes the platform's core functionality as tools that any MCP-compatible AI model can call directly. Once connected, your AI assistant can list and manage sequences, pull real-time performance analytics (delivery, open, reply, and click rates at the sequence and step level), enroll contacts, and control campaign state — all through natural language, no browser required. Typical use cases: - Ask Claude or Cursor to pull open and reply rates for your active sequences and identify underperformers - Enroll a new contact in a sequence mid-conversation, without switching to the Reply.io dashboard - Pause or start sequences, then check step-level stats to diagnose drop-off points - Build AI agents that automate outreach workflows end-to-end — prospect, enroll, follow up, analyze The MCP server is hosted by Reply.io and authenticated via API key. No self-hosting or open-source setup is required. | — | — | — |
| repo-architecture-mcp-server MCP server for analyzing GitHub repositories and generating architectural diagrams | Python | — | — |
| repology-mcp-server Model Context Protocol server for Repology API | Python | — | — |
| Report Needs MCP Server MCP server for AI agents to report infrastructure needs they encounter during task execution | Python | — | — |
| Repository Intelligence Analyze repos of any size - security scanning code analysis monorepo support | — | — | — |
| Research Report API Multi-source research report generator with web fetching. x402 micropayment. | — | — | — |
| Research Report Generator — Multi-Source Analysis AI-powered research report generator API for AI agents. Generate structured research reports on any topic: multi-source web research, key findings with citations, analysis sections, and recommendations in clean Markdown. Tools: research_generate_report. Use this for market research, competitive analysis, due diligence, or preparing briefing documents. Returns publication-ready Markdown. IMPORTANT: For quick fact-checking, use research_check_fact instead. Returns: {report (markdown), sources[], wordCount}. No API key required — x402 micropayment $0.02/call on Base L2. | — | — | — |
| resend-mcp-server Complete MCP server for Resend API with all endpoints - send emails, manage domains, contacts, broadcasts, and more | TypeScript | — | — |
| reshapr The open source, no-code MCP Server for AI-Native API Access | Java | 84 | — |