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12306 ticket purchase search server based on Model Context Protocol (MCP). It provides a simple API interface, allowing large models to search for 12306 ticket purchasing information through the interface.
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A template for running Model Context Protocol servers on Vercel with Redis support, allowing developers to deploy their custom tools, prompts, and resources using the MCP TypeScript SDK.
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An MCP server that provides real-time date, time and time zone information for AI assistants.
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drand-mcp-server is a service that provides verifiable random numbers for model-driven processes in AI applications, supporting the acquisition of random numbers by time or round.
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An MCP server that provides text conversion, formatting, and analysis functions, which can be directly integrated into the development workflow.
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A server based on Model Context Protocol (MCP) that provides query and search functions for Chinese card information of Wanzhi brand.
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MCP of MCPs. Automatic discovery and configure MCP servers on your local machine. Integration with Claude and Cursor.
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doing something with MCP server
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individual test mcp server
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Enables AI assistants to access and search 3GPP telecommunications specifications through direct integration with the TSpec-LLM dataset. Provides real-time specification content, implementation requirements, and multi-spec comparisons for 3GPP standards development.
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L402 + x402 client MCP. AI agents discover, pay for, and consume any payment-gated API autonomously. Supports Lightning (NWC), Cashu ecash, stablecoins, and human-in-the-loop payments.
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General purpose MCP-server for 6digit studio
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MCP server for the Geomelon geographic API, enabling AI clients to search cities, countries, regions, and languages.
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A universal AI server that provides image and video processing tools (background removal, upscaling, vectorization, etc.) for any MCP-compatible client with simple setup.
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Enables LLMs to interact with Agent-to-Agent (A2A) protocol compatible agents, allowing them to send tasks, receive responses, track task status, and query agent capabilities through the Model Context Protocol.
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An MCP server that enables LLMs to interact with Agent-to-Agent (A2A) protocol compatible agents, allowing for sending messages, tracking tasks, and receiving streaming responses.
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Most database MCP servers make you run one query at a time, repeat connection details on every call, and return results double-encoded inside JSON strings. a2db fixes all of that: Pre-configured connections — define databases in .mcp.json with --register, agent queries immediately Batch queries — run multiple named queries in a single tool call
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Provides AI assistants with direct query access to the AACT (Aggregate Analysis of ClinicalTrials.gov) database, allowing structured retrieval and analysis of clinical trial data.
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Provides access to the ClinicalTrials.gov AACT database, enabling analysis of clinical trial data, tracking development trends, and generating therapeutic landscape insights.
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公开目录未提供摘要。