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    MCP server for time, timezone, and duration operations. Enables getting current time in any timezone, converting timestamps between timezones, adding/subtracting ISO-8601 durations, and computing time between two timestamps.
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    1
    MIT
  • A
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    mistral-mcp is a TypeScript MCP server (spec 2025-11-25) that exposes the full Mistral AI API surface: 22 tools: chat, OCR, audio (Voxtral), vision, agents, embeddings, moderation, classification, files, batch, sampling, FIM (Codestral), streaming 2 resources: mistral://models, mistral://voices 6 curated prompts (French + English) with MCP argument completion Dual transport: stdio (default) + Str
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    MIT
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    An MCP server that lets LLM agents operate the IDnow Trust Platform sandbox to list verification flows, create sessions, check sessions, and get session details.
    4
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    Provides enterprise architecture knowledge tools that ground agents in curated patterns, enabling translation of messy enterprise asks into realistic architecture recommendations, platform selection, risk checks, and brand context retrieval.
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    MIT
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    The interface protocol for AI agents. 8 kernel primitives + 16 stdlib operations to operate any interface. Forge once, run forever — zero AI at runtime. 81 skills across 41 sites.
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    MIT
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    MCP server for secure, just-in-time secret retrieval from 1claw vault and malicious content inspection, enabling AI agents to access secrets and security analysis.
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    MIT
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    Provides comprehensive documentation for MAX Platform, including Bot API endpoints, guides, Bridge API, and UI components, via MCP tools and resources for AI coding agents.
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    MIT
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    Git-native long-term memory for AI agents: your markdown files are the source of truth, the search index is a disposable projection rebuilt from git, and every memory the agent writes is a reviewable git commit. Served over one OAuth-secured MCP endpoint with hybrid lexical+semantic recall and a gated, git-first commit_note write tool.
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    AGPL 3.0
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    Provides programmatic access to Material Web documentation and components for AI agents, enabling documentation search, template generation, and HTML validation.
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    MIT
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    Enables AI coding agents to efficiently explore codebases by providing structural outlines, module digests, symbol bodies, and AST-aware grep via MCP.
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    MIT