"author:{result['url']}" matching MCP servers:

An MCP server that provides safe, read-only access to a PostgreSQL warehouse, enabling schema introspection, guarded SQL queries, and truncated result reporting for LLMs.

A simple and efficient MCP server that provides Base64 encoding and decoding functionality for both text and images with support for Data URL format.

Exposes Great Expectations data-quality checks as MCP tools for LLM agents, enabling data loading, expectation definition, validation, and result interpretation.

The JSON to Excel MCP provides a standardized interface for converting (1)JSON data (2)URL pointing to JSON files into CSV format

Enables users to process large datasets record by record, supporting JSON Lines and JSON with jq expressions, with stateful navigation, result tracking, and export capabilities.

Enables AI agents to author and edit Power BI files locally (.pbix/PBIP), covering semantic models, reports, and Power Query M with 490 tools.

A read-only MCP server that exposes dbt project artifacts and data quality result tables (BigQuery/Postgres) to LLM clients, enabling deep introspection, run-history analysis, source freshness, test coverage, and lineage walks.

Enables Claude to run SQL queries against Infor Compass (Data Fabric) directly from chat, with automatic export of large result sets to Excel.

Enables Claude to access Google Search Console data including search performance, URL indexation, sitemaps, and built-in SEO analysis tools such as trending queries, cannibalization detection, and traffic drop diagnostics.

Enables MCP-compatible agents to run governed, read-only analytics queries against Postgres using predefined metrics and dimensions, with safety checks and provenance on every result.

A PostgreSQL MCP server for AI agents that streams large result sets to CSV, enforces per-query timeouts, auto-reconnects with backoff, and supports long-running tunnel scripts with credential rotation.

A tiny remote MCP server with a single tool, drop, that saves a file from local content or a URL into a mounted directory, acting as a file dropper for watch-folder importers.

Enables AI agents to query structured data refined from unstructured web sources, including developer breaking changes, B2B pricing matrices, regulatory compliance, semantic search, and on-demand URL refinement.

Enables secure access to BigQuery datasets with intelligent query result caching, schema evolution tracking, and AI-powered query optimization recommendations through Supabase integration.

Classifies PDFs (text-based vs scanned vs image vs mixed), extracts text, and converts to clean Markdown over Streamable HTTP MCP. Supports remote PDFs via URL or base64, with optional page restriction and OCR fallback detection.

Web extraction MCP server for AI agents. Extract structured data from any URL with built-in Cloudflare bypass, JavaScript rendering, and intelligent parsing. Returns clean markdown or JSON.