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"Definition and applications of 'sequential'" matching MCP servers:

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    Enables AI assistants and developers to analyze code for language-specific best practices and idiomatic patterns across programming languages, CI automation, and configuration formats.
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    MIT
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    Ask Claude "What's the unemployment rate in NSW?" and get a real answer. Wraps the Australian Bureau of Statistics API with plain-English tools and curated mappings for 10 economic indicators (unemployment, inflation, wages, GDP, housing, population).
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    MIT
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    Ask Claude "What's the cash rate?" or "What's AUD/USD today?" and get the real number from the Reserve Bank of Australia. Wraps RBA's F-tables with plain-English access to interest rates, FX rates, deposit rates, and mortgage rates.
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    MIT
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    Bilingual (EN/ES) AI-writing detection that shows the evidence instead of a percentage: named tells with line and column, hidden-character inspection, and citation cross-checking against a document's own bibliography. Seven of its nine tools run entirely locally and never touch the network.
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    MIT
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    An MCP server for managing contextual data as markdown files with metadata, enabling agents to save, retrieve, search, and delete contexts using simple CRUD operations.
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    Apache 2.0
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    Enables AI agents to interact with Bentley STAAD.Pro models for tasks like load case definition, data extraction, and property setting through natural language.
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    Enables AI agents to interact with Bentley STAAD.Pro models for tasks like load case definition, data extraction, and property setting, running locally with multi-instance support and no cloud dependency.
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    MIT
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    A reference implementation of the mcp-lens pattern for progressive disclosure in MCP servers. It exposes three stable meta-tools to search, inspect, and execute capabilities, keeping tool-definition costs constant as the catalog grows.
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    Apache 2.0
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    Exposes Great Expectations data-quality checks as MCP tools for LLM agents, enabling data loading, expectation definition, validation, and result interpretation.
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    MIT
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    Provides Zig language intelligence for Claude Code by wrapping ZLS (Zig Language Server) and exposing 8 tools for diagnostics, formatting, hover info, go-to-definition, references, completions, document symbols, and building.
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    MIT
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    Provides deterministic Python codebase symbol exploration using AST parsing, with tools for definition lookup, signatures, references, call chains, and class hierarchy queries.
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    MIT
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    Persistent memory management for AI assistants like Claude, enabling creation, search, and retrieval of memories with tagging and triggers.
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    MIT
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    Enables AI assistants to search live jobs, view full details, save and track applications in a Kanban board, set follow-up reminders, and subscribe to job alerts—no account needed for searching.
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    Model Context Protocol server for Kylas CRM lead operations, enabling lead creation, search/filter, and lookup of users, products, and pipelines.
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    MIT
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    Enables reading and writing to your local Anki collection through AnkiConnect, allowing creation, update, and search of notes and decks from MCP clients like Claude Desktop.
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    MIT