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。12991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。
Integrates Model Context Protocol (MCP) functionality into Strapi, enabling AI models to interact with your CMS content and system information.
Extends the capabilities of AI assistants by providing integrations and functionalities via the Model Context Protocol.
Orchestrates multi-workspace Terraform deployments, managing dependencies, propagating outputs, and enabling AI-driven automation via Temporal workflows.
Monitor and report token usage and costs for OpenAI and Claude APIs, including support for the Model Context Protocol.
Manages .resx localization files for any Model Context Protocol-compatible client.
Connect AI agents to multiple large language models, managing conversation history and enabling mid-conversation model switching.
Provides project-specific context and development templates to AI models within IDEs like Cursor.
Facilitates natural language interaction and comprehensive management of PostgreSQL databases via an MCP-compatible client.
Creates a massive, searchable knowledge base for AI assistants from curated and auto-discovered repositories.
Integrates Kaspa blockchain nodes with MCP clients for RPC interaction.
Provides precision geospatial tools for large language models (LLMs) through the Model Context Protocol (MCP).
Searches the barnsworthburning.net website via the Model Context Protocol.
Provides comprehensive word definitions and random vocabulary for daily learning using the Free Dictionary API.
Integrates local Ollama models with Claude, enabling delegation of simpler tasks to conserve tokens for advanced reasoning.
Revokes ERC-20 token allowances across multiple blockchains for enhanced security.
Provides a robust set of tools for querying and discovering available Model Context Protocol servers from a centralized repository.
Integrates self-hosted Forgejo repositories with Claude Desktop, enabling AI-powered interaction and management.
Integrates DeepSeek's language models with Model Context Protocol-compatible applications.
Organizes, tests, and manages AI prompts with collections, dynamic variables, execution history, and Model Context Protocol (MCP) integration.
Aids in the development process as a work-in-progress solution.
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