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Enables Claude Desktop to utilize Deepseek models running in Docker containers.
Provides a Model Context Protocol (MCP) server implementation for interacting with the XRP Ledger blockchain.
Enables Claude and other LLMs to interact with construction documents through advanced RAG and hybrid search.
Enables memory-efficient interaction with the Figma API by chunking and paginating large Figma files.
Simplifies the creation of Model Context Protocol server implementations for AI agents.
Proxies requests to remote Model Context Protocol (MCP) servers.
Integrates Webflow MCP Server as a context server for Zed's Assistant.
Integrates with Zenodo records through the Model Context Protocol (MCP) for use in LLM workflows and IDEs.
Enables searching of vectorized Cursor IDE chat history using LanceDB and a local LLM.
Enables AI assistants to develop and deploy Solana smart contracts through a standardized interface.
Manages Markdown documents within isolated projects for large language model tool calling.
Generates MCP-compatible server components dynamically from OpenAPI specifications.
Facilitates advanced automation and interaction with Phabricator and Phorge APIs as a Model Context Protocol (MCP) server.
Empowers large language models and AI assistants to conduct self-evaluations, critique their performance, and continuously improve through a standardized evaluation framework.
Automates the generation of type-safe Go enum types and helper methods from YAML configuration files.
Provides chart generation capabilities to AI agents through a standardized Model Context Protocol interface, enabling seamless interaction with Quick Chart.
Streamline development workflows with an AI-integrated Kanban board for automated task management.
Provides a local Model Context Protocol server for AI agents to manage and persist their operational memory and context.
Enable remote interaction with AI coding agents via Slack, allowing continuous workflow even when away from your desk.
Provides AI coding agents with persistent, cross-project memory, maintaining context, decisions, and knowledge locally across various workspaces.
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