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Enables creation and management of tasks and projects within the Things3 macOS application using the Model Context Protocol (MCP).
Integrates the Kagi Search API as a Model Context Protocol server.
Provides Go language server features to MCP-compatible tools like Claude for AI-powered code assistance.
Sends system notifications with sound when Agent tasks are completed, ensuring users are promptly alerted upon task completion.
Exports 1C:Enterprise platform context from help files into multiple formats for LLMs and offers an MCP server for AI assistant integration.
Enables conversational exploration and analysis of RDF-based Knowledge Graphs through local files or SPARQL endpoints.
Provides contextual information about a Netbird network to applications supporting the Model Context Protocol (MCP).
Provides a generic, modular server framework for implementing and interacting with models through the Model Control Protocol (MCP).
Enables Large Language Model (LLM) clients to interact with any MediaWiki wiki.
Enables AI assistants like Claude to interact with and manipulate 3D models within Rhino 3D.
Connect AI assistants like Claude to Atlassian Jira for accessing and managing projects and issues.
Enables Python script execution within a running Abaqus/CAE GUI and retrieves messages from its log area via MCP tools.
Provides a minimal Rails API template for building Model Context Protocol (MCP) servers with tool execution capabilities.
Enables AI assistants to generate images, text, and audio through the Pollinations APIs using the Model Context Protocol.
Facilitates a structured, step-by-step approach to problem-solving and analysis by breaking down complex issues into manageable steps.
Edits videos using natural language commands by leveraging FFmpeg.
Enables Honeycomb Enterprise customers to query and analyze their observability data, alerts, dashboards, and cross-reference production behavior with codebase using LLMs.
Enables native API integration for iOS and macOS applications through a JSON-RPC interface and provides an OpenAI-compatible function calling bridge.
Exposes Buildkite pipeline, build, and job information to tools like Claude Desktop and GitHub Copilot.
Enables Model Context Protocol (MCP) clients to interact with RabbitMQ queues and topics.
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