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    This MCP server provides a web-ready SSE bridge for Microsoft's Power BI Modeling MCP Server, enabling URL-based interaction with Power BI semantic models from any programming language without local stdio piping. It features automatic Azure authentication and dynamic binary resolution for seamless Power BI data analysis.
    ISC
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    B
    maintenance
    A remote MCP gateway that lets any MCP client sign in as the end user to discover curated semantic models, read finance glossaries and recipes, inspect schemas and report metadata, and generate or execute DAX through an on-behalf-of token, so row-level security and Build permissions stay enforced. Finance know-how lives centrally in server-side skill files and instructions, so every connected client benefits without per-client configuration.
    14
    MIT
  • F
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    quality
    C
    maintenance
    Model Context Protocol (MCP) server that gives AI assistants a safe, correct data-analyst capability over business metrics - without raw SQL improvisation.
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    MCP server that translates natural-language questions into SQL, validates every query structurally, and executes approved read-only queries against a SQLite database, returning results and rejections.
    MIT
  • A
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    quality
    C
    maintenance
    Turns a single image of an object into a textured 3D model (GLB with web-ready copy and six-view previews) on your own NVIDIA GPU, returning the written files and a preview. Runs locally as an MCP tool or, optionally, offloads the job to hosted GPUs with an API key.
    3
    AGPL 3.0
  • A
    license
    A
    quality
    A
    maintenance
    Enables agents to detect and redact PII and secrets in text, HTML, and PDF documents before they reach an LLM, with reversible placeholder, mask, or hash redaction, and to list supported detectors and redaction styles.
    4
    MIT
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    license
    D
    quality
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    A local-first MCP server that provides safe, governed read-only SQL access to SQLite and PostgreSQL, with validation, limits, task tracking, and report generation.
    20
    MIT
  • F
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    quality
    B
    maintenance
    Enables Claude Code agents to perform structured decision-making through TypeSafe Jev, supporting yes/no checks, route selection, scoring, and batched multi-question judgments with confidence values.
    1
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  • A
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    B
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    Enables agents to run statistics and data-science computations over numerical streams using only the Python standard library, including Z-score/IQR anomaly detection, Holt linear forecasting, Welch's t-test hypothesis evaluation, gradient-descent multivariate regression, and power-iteration SVD/PCA dimensionality reduction. Exposes these capabilities over JSON-RPC 2.0 stdio so clients like Claude Desktop, Cursor, and Windsurf can project high-dimensional feature vectors into principal components without any external dependencies.
    7
    MIT
  • A
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    quality
    C
    maintenance
    Enables local AI inference for Claude and Cursor through 22 APIs, including summarization, translation, review, classification, RAG, and more, with all data processed on-device.
    15 npm
    MIT
  • A
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    quality
    C
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    Enables accounts-payable teams to turn emailed or uploaded invoice PDFs into structured, source-cited fields via Claude, run deterministic arithmetic, date, PO and duplicate checks, and route each invoice to a named human for approval or rejection through scoped bearer tokens. Also supports listing pending approvals and forecasting what falls due in the coming weeks, with per-extraction cost tracking.
    MIT
  • A
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    Enables agents to run zero-dependency statistical analysis natively over MCP, including Power Iteration PCA/SVD dimensionality reduction, Holt linear forecasting, modified Z-score and Tukey IQR anomaly detection, Welch's t-test, and multivariate gradient-descent regression on numerical data streams. Projects high-dimensional feature vectors into principal component representations without any external libraries.
    MIT
  • A
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    quality
    C
    maintenance
    Enables searching a verified catalog of 30 AI-agent tools, retrieving full records for individual tools, and comparing them side by side on specs and entry pricing. Also lists catalog categories and exposes coverage and update metadata.
    48 npm
    MIT
  • A
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    quality
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    maintenance
    Data Workers is the Autonomous Agentic Data Platform: reduce your data ops to zero, with agents that run the whole data platform (pipelines, quality, incidents, schema change, catalog, governance) through MCP in Claude Code, Codex, Cursor and any MCP client. Learn more at dataworkers.io.
    14
    Apache 2.0