"Programming Language Rust or Metal Oxidation" matching MCP servers:

Bridges Claude (or any MCP client) to manufacturing data via the i3X standard, enabling natural language queries about equipment status, hierarchy, and historical trends.

Enables converting data structure definitions between numerous schema formats and generating code for multiple programming languages, using Apache Avro Schema as the integration model.

A server that interfaces with the Mixpanel API, allowing users to query events data, retention, and funnels through natural language from any MCP client like Cursor or Claude Desktop.

MCP server that interfaces with the Adjust API, allowing you to query mobile analytics reports, metrics, and performance data using natural language from any MCP client like Cursor or Claude Desktop.

Enables AI assistants to read a verified household financial record across linked accounts, including holdings, transactions, fees, performance, cash flow, advisors, diagnostics, and score findings. It can also refresh connections and manage manually tracked assets or liabilities inside the service, but cannot move money or place trades at financial institutions.

Enables creating interactive data visualizations from natural language queries using DuckDB for local databases or Databricks for enterprise data warehouses. Supports multiple chart types, CSV imports, SQL queries, and automatic statistical analysis through Claude Desktop.

Exposes 250+ financial data tools across 24 categories, letting AI assistants retrieve and analyze stock quotes, company fundamentals, financial statements, technical indicators, ETFs, crypto, forex, commodities, and economic data through the Financial Modeling Prep API. Supports dynamic or pre-loaded toolsets over HTTP/SSE, with hosted or self-hosted deployment.

Enables AI agents to securely interact with multiple databases (MySQL, PostgreSQL) via natural language queries, with cross-database querying and enterprise-grade security.

This read-only MCP server lets AI assistants inspect Apache NiFi, ClickHouse, and Kafka across multiple environments through natural language. It provides health checks, flow and message searches, querying and metadata tools while enforcing OIDC or proxy authentication, per-user auditing, secret masking, and two-lock read-only safeguards.

Enables AI agents to interact with Airtable databases via natural language, supporting record CRUD, base listing, and schema exploration.

Scikit-learn-style classical machine learning, preprocessing pipelines, and automated data profiling in Rust with zero external dependencies.

Enables natural language interaction with Baserow databases, supporting workspace, database, table, and row operations with authentication and batch capabilities.

A Model Context Protocol (MCP) server that provides MetricFlow CLI tools through both SSE and STDIO interfaces, enabling users to query metrics, list dimensions, and perform other MetricFlow operations via natural language.

Enables AI agents to query Mixpanel event data, funnel conversion rates, and retention cohorts via MCP tools or natural language.

Enables users and AI agents to reconcile CSV bank statements against invoices or bills by matching amounts and references, then sorting each line into matched, likely, review, or unmatched groups with reasons. It exposes read-only tools for matching files and inspecting detected CSV columns and row counts.

Connects AI agents and MCP clients to Keboola, enabling storage queries, SQL transformations, job triggers, and more through natural language.

Enables AI assistants to query product footprints, inspect transport activity data, and submit events from iLEAP-conformant endpoints through natural language, using MCP tools over Streamable-HTTP or stdio.

Enables agents to explore a project's captured events and properties, then run trend, funnel and retention analyses and create or list saved insights. Tools are model-oriented, returning trimmed, budgeted results and actionable errors, with the project resolved from the API key or bearer token rather than passed as an argument.

Enables natural-language interaction with a Databricks Lakehouse, including running SQL on warehouses, tracking and canceling long-running queries, and exploring Unity Catalog metadata via the workspace REST API.

Enables creating and configuring Loginom .lgp packages through a portable stdio MCP server, covering nodes, links, filters, joins, calculators, import settings, and visualizers. It works without requiring Windows or an installed Loginom instance.

Enables AI agents to interact with ClickHouse analytics through a semantic layer, exposing datasets and metrics for natural-language querying.

Enables AI agents to ingest and link datasets, plan and render interactive D3.js visualizations and dashboards, validate and refine outputs, and export standalone HTML, SVG, PNG, PDF, JSON, or CSV artifacts from natural-language requests.

Eunomia MCP Server is an extension of the Eunomiaframework that connects Eunomia instruments with servers. It provides a simple way to orchestrate data governance policies (like PII detection or user access control) and seamlessly integrate them with external serve

Enables MCP-compatible agents to run the complete document extraction loop as remote tools: upload files, submit extraction jobs with plain-language instructions, answer clarifying questions, inspect review-needed rows and failed pages, and download results as spreadsheets or JSON.

Expose IBKR account data, portfolio positions, orders, executions, contracts, and market data snapshots via MCP to Claude or Codex.

Enables inspecting local PDFs and extracting tables into CSV, XLSX, or JSON with options for pages, merging, OCR, engine selection, headers, merged cells, regions, and columns.

Enables AI assistants to interact with Metabase analytics platform, allowing users to query databases, manage dashboards and cards, execute SQL queries, and access analytics data through natural language.

Enables executing SQL queries, listing databases, and listing tables on a ClickHouse cluster through natural language.

Bidirectional CSV ↔️ JSON ↔️ Markdown transformer exposed as an HTTP-based MCP server, enabling format conversion through natural language.

Executes SQL queries via ConnectorX and streams results to CSV or Parquet files, supporting multiple databases and optional token counting for CSV output.