MCPs tagged with agent integration
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Typst MCP Server
Facilitates AI-driven Typst interactions with LaTeX conversion, validation, and image generation tools.
Typst MCP Server implements the Model Context Protocol, enabling AI models to interface seamlessly with Typst, a markup-based typesetting system. It provides tools for tasks such as converting LaTeX to Typst, validating Typst syntax, listing and retrieving Typst documentation chapters, and rendering Typst code as images. The server is compatible with MCP agent clients, such as Claude Desktop and VS Code’s agent mode. All functionalities are exposed as tools for ease of LLM integration.
- ⭐ 79
- MCP
- johannesbrandenburger/typst-mcp
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MCP-timeserver
A simple MCP server providing date and time information to agentic systems.
MCP-timeserver exposes current datetime information via a custom datetime URI scheme compatible with the Model Context Protocol. It allows agentic systems and chat REPLs to access timezone-aware current times and offers a tool to fetch the system's local time. The server is designed to integrate with MCP-based workflows by providing standardized datetime resources.
- ⭐ 39
- MCP
- SecretiveShell/MCP-timeserver
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OP.GG MCP Server
Seamlessly connect OP.GG data with AI agents via the Model Context Protocol.
OP.GG MCP Server is an implementation of the Model Context Protocol (MCP) designed to provide standardized access to OP.GG data for AI agents and platforms. It enables retrieval of a wide range of real-time data from games like League of Legends, Teamfight Tactics, and Valorant through a unified interface. The server supports integration using MCP-compatible clients and simplifies remote data access for model-based applications. Its flexible tools cover champion statistics, match histories, esports schedules, and in-game leaderboards.
- ⭐ 46
- MCP
- opgginc/opgg-mcp
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VideoDB Agent Toolkit
AI Agent toolkit that exposes VideoDB context to LLMs with MCP support
VideoDB Agent Toolkit provides tools for exposing VideoDB context to large language models (LLMs) and agents, enabling integration with AI-driven IDEs and chat agents. It automates context generation, metadata management, and discoverability by offering structured context files like llms.txt and llms-full.txt, and standardized access via the Model Context Protocol (MCP). The toolkit ensures synchronization of SDK versions, comprehensive documentation, and best practices for seamless AI-powered workflows.
- ⭐ 43
- MCP
- video-db/agent-toolkit
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CockroachDB MCP Server
Natural language interface for managing CockroachDB via MCP protocol
CockroachDB MCP Server enables natural language interactions with CockroachDB, integrating with Model Context Protocol (MCP) clients. It supports comprehensive database management, cluster monitoring, and SQL operations through standardized tools. Designed for LLMs and agentic applications, it facilitates seamless AI-driven workflows to query, manipulate, and monitor CockroachDB databases. The system emphasizes performance, scalability, and easy integration with popular LLM tools.
- ⭐ 6
- MCP
- amineelkouhen/mcp-cockroachdb