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    A small, readable MCP learning project implemented in TypeScript that uses a local JSON notebook to demonstrate core MCP features such as tools, resources, prompts, sampling, and notifications.
    6
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    A personal MCP server built with Python FastMCP, offering tools for paper retrieval, dataset analysis, project scaffolding, and directory utilities, with stdio and HTTP transport plus optional bearer token authentication.
    8
    MIT
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    Enables LLMs to access a user's personal writing context—voice, style, opinions, expertise, projects, and communication patterns—via curated markdown files, helping the LLM match the user's voice when generating written content.
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    Self-hosted, read-only MCP server that connects banks, credit cards, loans, and brokerage accounts via Plaid. 9 tools for balances, transactions, recurring charges, liabilities, and investment holdings.
    9
    9
    MIT
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    Gives LLM agents spatial awareness inside Autodesk Maya, enabling scene inspection and measurement, aesthetic and engineering audits, camera planning, checkpoint/rollback safety, asset import, and viewport or render previews. Agents can also execute arbitrary Python in Maya to build and verify 3D scenes against engineering rules instead of writing blind.
    25
    180 PyPI
    3
    MIT
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    Enables AI agents to interact seamlessly with Splunk environments through 20+ tools for search, analytics, data discovery, administration, and health monitoring. Features AI-powered troubleshooting workflows and supports multiple Splunk instances with production-ready security.
    57
    27
    Apache 2.0
  • F
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    Enables users to add expenses, retrieve expenses by date range, and get spending summaries by category through MCP tools.
    4
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  • A
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    Enables MCP clients such as GitHub Copilot, Codex, Claude... to explore a SQL Server 2017+ database read-only: databases, schemas, tables, views, procedures, functions, indexes and dependency graphs, plus filtered, grouped, sampled and paginated queries capped by row limits.
    21
    GPL 3.0
  • A
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    Enables an AI agent to host a shared folder or join an invite link as a participant in a collaborative editing session, reading, editing, and writing the files the room shares. Runs the same sync engine and wire protocol as editor clients, so an agent and a person or another agent converge on the same documents and see each other's changes.
    10
    Apache 2.0
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    An MCP server that lets AI assistants like Claude read LinkedIn data through your own logged-in browser session. Access profiles and companies, search for jobs, or get job details.
    17
    Apache 2.0
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    A Model Context Protocol (MCP) server that exposes a professional profile — certifications, industry articles, open source contributions, and live GitHub activity — as a queryable API for AI agents.
    7
    11
    MIT