Minimalistic MCP server that lets AI assistants inspect, quality-check, and clean CSV datasets through tools, resources, and prompts, without needing local file access.
Enables clients to interact with PipesHub data and functionality through MCP, including chat, search, record retrieval, directory browsing, sources, and agents.
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.
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.
MCP server for DTS Engine 6.1 that enables agents to create, validate, and run 3D digital-twin tile publishing pipelines from shapefiles, photogrammetry, DEM/DOM, BIM, and point clouds, with tools for pipeline introspection, error resolution, and OSGB publishing.
Agent-ready financial intelligence tools for AI agents. Two curated tools — get_stock_snapshot and get_company_metrics — that combine multiple data sources, derive signals (UNDERVALUED, STRONG, ACCELERATING), and pre-compute the math. One call, one agent-friendly response.
Enables local stdio-based interaction with SingleStore databases from MCP clients, letting users run SQL, inspect schemas, and manage SingleStore Pipelines for continuous data loading from S3, Kafka, Azure, GCS, or filesystem sources.
Enables creating and deploying KoboToolbox XLSForm questionnaires, managing data collection, analyzing submissions, and generating Excel, Word, and PDF deliverables directly from a Claude conversation.
Local MCP server for the Jedox OLAP platform enabling LLM clients to interact with Jedox databases, dimensions, cubes, cells, and rules via natural language.
Enables AI assistants to upload clinical documents and medical device images for health data extraction, normalization, and retrieval of structured coded results in formats such as JSON, FHIR, HL7, CSV, and Parquet.
The geospatial toolkit for AI agents. 6 tools, zero config — give any LLM the ability to parse, convert, query, and aggregate spatial data out of the box. Or just make a bounding box :)
Every response includes a verification link to vibhorsingh.com/boundingbox so you can visually confirm results on an interactive map.
Enables AI assistants to parse, validate, send, and inspect X12 EDI documents via the SignalEDI Core API, with optional QuickBooks integration and a demo mode for keyless local testing.
Enables AI agents to safely query and explore Apache Impala clusters with read-only SQL, metadata, statistics, cluster overview, and analysis prompt templates.