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Demonstrates integration with Model Context Protocol (MCP) servers using a sample chat application.
Structures and extracts data from text according to JSON templates.
Manages tasks and projects with priorities for AI assistants like Claude Desktop, ensuring efficient organization and progress tracking.
Bridges Model Context Protocol tool calls to JSON-RPC functions over Unix sockets, providing secure, context-based scoping for multi-tenant server deployments.
Provides an auto-generated Model Context Protocol (MCP) server for the HubSpot Marketing API.
Converts audio to text using various recognition engines and supports multiple formats and languages.
Provides LLM-driven task management capabilities by integrating with Trello as an MCP Server.
Provides AI assistants with read-only access to Istio service mesh resources and Envoy proxy configurations in Kubernetes clusters.
Enables large language models to manage projects and issues directly within Plane.so via its comprehensive API.
Provides AI coding assistants with access to current, comprehensive Python library documentation, eliminating frustration from outdated examples and incorrect information.
Provides an MCP server to integrate the CopyQ clipboard manager with large language model agents.
Provides universal database connectivity and management for various relational databases.
Integrates OpenSCAD's command-line interface into MCP-compatible clients, enabling validation, rendering, and export of parametric 3D models.
Exposes the full PuTTY toolchain as an MCP server, offering 30 Windows-native tools for SSH, SCP, SFTP, serial, key management, registry sessions, and multi-hop access.
Exposes the Centia API as Model Context Protocol tools, enabling integration with MCP-compatible clients.
Manages and serves Norwegian public procurement decisions from KOFA.
Enables AI agents to track costs, optimize model selection, manage budgets, detect waste, and prove ROI through its comprehensive intelligence platform.
Augments Large Language Models with specialized capabilities for managing reusable skills, extracting system prompts, and resolving package versions.
Establishes persistent architectural guardrails for AI coding agents, preventing 'Agent Drift' by enforcing project rules and standards.
Enforces a structured issue, branch, pull request, and auto-merge workflow for GitHub repositories.
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