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Provides a lightweight foundation for building and deploying intelligent systems that manage and expose AI/LLM capabilities.
Facilitates parallel execution of AI tasks by bridging MCP-compatible clients with Codex and Gemini CLI agents and delivering structured responses.
Transforms local directories into an AI-powered knowledge base, enabling semantic search for documents based on meaning.
Enables AI assistants to connect to data sources, transform data, and generate visualizations through natural language requests.
Enables natural language management of healthcare data stored in Medplum via Large Language Models.
Analyze GitHub repositories, developers, and organizations with in-depth insights into the open-source ecosystem.
Provides access to Israel's OpenBudget data via a FastMCP server.
Provides crucial observability and tracing data for debugging complex AI agent runs.
Enables AI assistants to access and analyze Oura Ring data through the Model Controller Protocol (MCP).
Provides a standardized interface for AI agents to interact with Commvault software.
Encapsulates the Exa Pool API as a toolkit for AI assistants, providing a lightweight Model Context Protocol server.
Enables AI agents to automate and manage Azure DevOps operations, including boards, repositories, pipelines, artifacts, test plans, and wikis.
Provides intelligent question answering and analysis capabilities for multi-document PPT files powered by a Retrieval-Augmented Generation (RAG) engine.
Exposes the Open Targets Platform GraphQL API as a comprehensive suite of tools for Model Context Protocol (MCP) compatible clients.
Enables AI assistants and external tools to leverage Visual Studio Code's Language Server Protocol (LSP) features for advanced code intelligence via the Model Context Protocol (MCP).
Interacts with Microsoft Fabric APIs to manage workspaces, lakehouses, warehouses, and tables.
Connects Google Analytics 4 data to Model Context Protocol clients like Claude Desktop, providing comprehensive analytics and reporting capabilities.
Equips AI agents with a persistent memory server, enabling them to retain context and experiences across sessions.
Equips AI agents with specialized tools to interact with NIST's Open Security Controls Assessment Language (OSCAL).
Integrates Binary Ninja with Large Language Models, providing AI-powered reverse engineering capabilities.
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