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Glama

Open-Source MCP servers

Production-ready MCP servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.

9,450 servers. Last updated -

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Matching MCP servers:

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    A Model Control Protocol server implementation that allows Claude Desktop to use Deepseek models running in Docker, enabling seamless integration between Claude Desktop and Deepseek's language models.
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    A server that enhances Claude's reasoning capabilities by integrating DeepSeek R1's advanced reasoning engine to tackle complex reasoning tasks.
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    Enables integration of DeepSeek's language models with MCP-compatible applications, offering features like chat completion, custom model selection, and parameter control for enhancing language-based interactions.
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    Allows seamless integration of DeepSeek's language models with MCP-compatible applications like Claude Desktop, supporting features such as model selection, temperature control, and multi-turn conversations with automatic model fallback.
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    Provides code generation and completion capabilities using the DeepSeek API, with support for tool chaining and cost optimization.
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    Enables seamless AI integration via Ollama's Deepseek model, providing protocol compliance and automatic configuration for clean AI-driven interactions.
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    Provides reasoning content to MCP-enabled AI clients by interfacing with Deepseek's API or a local Ollama server, enabling focused reasoning and thought process visualization.
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    Enhances Claude's reasoning capabilities by integrating DeepSeek R1's advanced reasoning engine for intricate multi-step reasoning tasks with precision and efficiency.
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    A Node.js/TypeScript implementation of a Model Context Protocol server for the Deepseek R1 language model, optimized for reasoning tasks with a large context window and fully integrated with Claude Desktop.
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    A Model Context Protocol server that combines DeepSeek R1's reasoning capabilities with Claude 3.5 Sonnet's response generation, enabling two-stage AI processing where DeepSeek's structured reasoning enhances Claude's final outputs.
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    An MCP server that implements Retrieval-Augmented Generation to efficiently retrieve and process important information from various sources, providing accurate and contextually relevant responses.
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    Provides real-time system metrics and information through a Model Context Protocol interface, enabling access to CPU usage, memory statistics, disk information, network status, and running processes.
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    An MCP server that provides detailed information about your development environment to the Cursor code editor, enabling more context-aware assistance.
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    Provides comprehensive system diagnostics and hardware analysis through 10 specialized tools for troubleshooting and environment monitoring. Offers targeted information gathering for CPU, memory, network, storage, processes, and security analysis across Windows, macOS, and Linux platforms.
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    Enhances Claude's reasoning capabilities by integrating DeepSeek R1's advanced reasoning engine, allowing Claude to tackle complex multi-step reasoning tasks with greater precision.
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    A Node.js-based FastMCP protocol server that integrates DeepSeek AI capabilities for intelligent conversations and code analysis, providing tool invocation abilities through the MCP protocol.
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    An MCP server that provides real-time delay information for JR East train lines, accessible via MCP clients like Claude Desktop through the 'getDelays' tool.
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    Enables browser automation and real-time computer vision tasks through AI-driven commands, offering zero-cost digital navigation and interaction for enhanced web experiences.
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    Connects QGIS to Claude AI through the Model Context Protocol, enabling AI-assisted project creation, layer manipulation, processing algorithm execution, and Python code running within QGIS.
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    Facilitates two-stage reasoning processes using DeepSeek for detailed analysis and supports multiple response models such as Claude 3.5 Sonnet and OpenRouter, maintaining conversation context and enhancing AI-driven interactions.
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    Enables access to the Hugging Face Hub API to search and retrieve information about machine learning models, datasets, and their metadata. Provides comprehensive tools for exploring the Hugging Face ecosystem including model details, dataset information, and parquet file access.
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    An MCP server for searching and exploring MCP servers from the Glama MCP directory. This server provides tools to search for MCP servers, get detailed information about specific servers, and explore available server attributes using the Glama MCP API.
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    Enables searching for drugs and exploring ontology terms in the Cortellis database, providing access to comprehensive drug development status information with structured JSON responses.
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    Enhances LLM applications with deep autonomous web research capabilities, delivering higher quality information than standard search tools by exploring and validating numerous trusted sources.
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    Enables AI assistants to interact with Airtable databases by listing accessible bases and retrieving detailed schema information. Supports secure authentication and provides tools for exploring Airtable base structures through natural language.
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    Enables searching and retrieving detailed information about MCP servers from the official MCP registry. Provides tools to list servers with filtering options and get comprehensive details about specific servers.
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    MCP server that provides tools for exploring and testing APIs through Swagger/OpenAPI documentation.
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    A Model Context Protocol server that enables AI tools like Claude or Cursor to directly interact with FamilySearch's family history data, including searching person records, viewing detailed information, and exploring ancestors and descendants.
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