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    Search and resolve MCP server packages on the mpak registry, enabling agents to discover servers, inspect tools, and check credential requirements before installation.
    2
    MIT
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    Enables MCP clients to run web searches and fetch web page contents through DeepSeek's Search and Fetch APIs, returning structured JSON results with configurable tool names and multiple transport options.
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    11
    MIT
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    Enables agents to perform local metasearch, scholarly and code/model lookups, and fetch rendered web pages or PDFs as paginated markdown, including stealth browsing and arXiv paper overviews.
    11
    MIT
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    A local CrossRef database MCP server enabling full-text search across 167M+ scholarly works, citation analysis, and impact factor retrieval without rate limits or internet dependency.
    17
    5
    AGPL 3.0
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    Enables local file reading and writing for your project via Claude Desktop, with tools to read, write, and list files in a specified root path.
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    Provides Claude and any MCP client with plain-English access to official San Antonio-area public data including weather alerts, school ratings, and 311 service calls, with no API keys required.
    4
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    Apache 2.0
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    Provides AI assistants with plain-English access to official Houston-area public data including weather alerts and school ratings, no API keys required.
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    Apache 2.0
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    A Model Context Protocol server that provides AI assistants with plain-English access to official Dallas-area public data (weather alerts, school ratings, and 311 service requests) without requiring API keys or logins.
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    Apache 2.0
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    Enables AI agents to search, read, annotate, and manage a local Zotero library via the Model Context Protocol, with full local storage and no cloud dependency.
    38
    MIT
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    Local-first Microsoft Outlook MCP server: a single Go binary that manages calendar events and mail through the Microsoft Graph API over stdio, with tokens stored in the OS keychain and no Entra ID app registration required. Exposes four aggregate tools (calendar, mail, account, system) dispatched by an operation verb, with multi-account support and read-only and mail-gating modes.
    4
    45
    MIT
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    Enables AI assistants to answer DFW civic and property questions using official data sources without API keys.
    9
    89 npm
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    Apache 2.0
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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
    93 PyPI
    4
    MIT
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    A lightweight MCP server providing common utility tools such as unit conversion, password generation, date calculation, hashing, Base64 encoding/decoding, UUID generation, text case conversion, and text statistics, with no external dependencies.
    8
    MIT
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    Enables natural-language interaction with Ladybug Tools for building performance simulation, 3D modeling, and data visualization, allowing agents to perform complex environmental analysis tasks without CAD software.
    3
    27 PyPI
    12
    GPL 3.0
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    repo-release-tools mcp-server automates the software release process by managing version bumps, changelog generation, and releases. It streamlines repository maintenance by handling repetitive release tasks directly through your AI assistant.
    27
    341 PyPI
    1
    MIT
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    A read-only MCP server that lets LLMs explore and query local SAS datasets (.sas7bdat / .xpt) without Viya, network, or SAS licensing. It exposes tools for listing, metadata inspection, summarization, frequency tables, value-label decoding, paginated reads, DuckDB SQL joins, and cross-dataset variable search.
    8
    MIT
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    Exposes SQL Server and Snowflake schema metadata to AI coding agents, enabling schema search, join path discovery, and stored procedure metadata retrieval without live queries.
    18
    GPL 3.0
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    Optimizes token costs by intelligently delegating low-complexity tasks to local LLMs via LiteLLM, enabling cost-effective development workflows.
    3
    1
    MIT
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    Enables AI assistants to perform controlled Linux system administration tasks like reading logs, managing services, cron jobs, WordPress, and executing sandboxed Python code, with strict security constraints.
    29
    2
    GPL 2.0