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Enables natural language interaction with Upstash Developer APIs for managing databases and related resources using Claude Desktop or any MCP client.
Connects Claude Desktop and OpenAI Responses API to a server for job searching functionalities.
Intelligently restarts Claude's MCP handler process without disrupting its user interface.
Delivers custom prompts to guide bot interactions within an MCP client environment.
Implements a minimal WebSocket-based server designed for modern integrations.
Provides a modular and type-safe server for managing email operations via the IMAP protocol.
Integrate and leverage Google's powerful Gemini multimodal AI models for diverse generative and analytical applications.
Extends Loilonote functionality by providing a custom server and browser extension.
Provides a lightweight and extendable Model Context Protocol (MCP) server toolkit for building custom tools that integrate with AI assistants.
Integrate AI agents with Backlog to automate project management tasks, issue tracking, and documentation.
Provide real-time read-only access to Ethereum blockchain data for AI and LLM agents via MCP servers or a RESTful API.
Transforms existing REST APIs defined by OpenAPI/Swagger documentation into Model Context Protocol (MCP) compliant service endpoints for AI agents.
Integrates the Kratos deployment platform with the Model Context Protocol, exposing extensive tools and resources for managing application lifecycles and infrastructure.
Scans and generates barcodes and QR codes from images or text.
Manage and subscribe to real-time blockchain event webhooks through Crypto APIs for various on-chain activities.
Provides a Model Context Protocol server exposing a practical subset of the OWASP Dependency-Track REST API over stdio.
Provides a standalone Cisco Meraki MCP server to integrate Meraki network management capabilities with AI clients like Codex and Claude.
Manages project-local agent activity and high-signal memory in an SQLite database via a Model Context Protocol (MCP) stdio server.
Manages local-first AI long-term memories using FSRS scheduling, git-backed snapshots, and an MCP toolset for storage, recall, and review.
Provides comprehensive tools for detailed URL parsing, analysis, and safety checks.
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