developer tools向けの厳選されたMCPサーバーコレクションをご覧ください。10523個のサーバーを閲覧し、ニーズに最適なMCPを見つけましょう。
Offers a Go library for implementing post-quantum cryptographic algorithms such as ML-DSA for digital signatures and ML-KEM for key encapsulation.
Manages Amazon DynamoDB resources, providing tools for table management, capacity management, and data operations.
Exposes MCP tools via NATS microservices, functioning either standalone or as a Go library.
Integrates TeamRetro with tools leveraging the Model Context Protocol (MCP).
Provides a standardized Model Context Protocol interface for Large Language Models to interact with Tracxn financial data.
Provides a Model Context Protocol server for read-only access to PostgreSQL databases, enabling LLMs to inspect schemas and execute queries.
Enables AI assistants to interact with Datadog's observability platform using natural language queries.
Automates project analysis and generates comprehensive development specifications, powered by AI integration.
Connects to Reckon data from AI clients like Claude Desktop through CData JDBC Drivers, exposing it via a Model Context Protocol (MCP) server.
Empowers AI assistants with a comprehensive suite of tools for interacting with the Osmosis blockchain, including direct transaction execution.
Provides programmatic access to js-libp2p universal connectivity functionality, enabling AI assistants to interact with peer-to-peer networks.
Implements a memory system for large language models, enabling conversational context persistence across multiple LLM providers.
Enables semantic code search by leveraging Qdrant vector database and OpenAI embeddings.
Enables AI models to securely interact with Bitwarden password vaults through the 'rbw' command-line interface.
Deploys an authentication-free Model Context Protocol (MCP) server on Cloudflare Workers.
Transcribe, summarize, and analyze audio content using intelligent processing.
Develops an agentic chatbot application integrating Spring AI, Model Context Protocol (MCP), NodeJS, Python, and Ollama with the Mistral model for enhanced capabilities.
Synchronizes AI assistants with accurate and secure time information from Network Time Protocol servers.
Connects Toggl time tracking with MCP-compatible applications, enabling automated time entry and project management.
Enables AI assistants to interact with Strapi CMS instances via a standardized Model Context Protocol interface, supporting content types and REST API operations.
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