"MCP servers built with alternative programming languages" matching MCP servers:

Provides AI tools with direct read access to the Built Online Podcast Command Center data, enabling validation, recommendations, and visibility of missing data without guessing.

An MCP server that enables advanced CSV analysis and data visualization using Google's Gemini AI and Plotly. It allows users to perform exploratory data analysis, generate interactive charts, and conduct complex reasoning on tabular data.

Enables AI to interact with Microsoft Access (.mdb, .accdb) and SQLite 3 databases, including read-only support for Access 97 databases. Supports executing SQL queries, importing/export data from CSV and Excel files, and storing notes about database files.

Give your AI agent the entire China A-share market: 55 datasets of prices, financials, capital flows, corporate events and futures/options, stored locally and queryable with read-only SQL. Built point-in-time with delisted stocks kept, so backtests don't lie — no account, no API key.

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.

MCP server that exposes Chronova developer productivity data to AI agents. Built on the Model Context Protocol, it lets tools like Claude Desktop, Cursor, and OpenCode query your coding stats, activity, and AI-assisted coding metrics.

50 tools and 400 functions for working with Excel/.xlsx spreadsheets — read/write, recalculate formulas, diff, repair broken references, and audit. Built for AI agents.

Enables AI assistants to securely connect to Snowflake data warehouses and execute SQL queries through natural language interactions. Supports multiple authentication methods and provides formatted query results with built-in security controls.

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

Model Context Protocol server that lets AI assistants explore and query SAP Datasphere — metadata discovery, catalog search, OData and SQL queries, ETL extraction, data lineage and column profiling — with built-in config-driven PII masking.

A server that connects to PostgreSQL databases and provides tools for safely exploring schemas, running read-only SQL queries, and performing data analysis with pre-built templates.

Enables intelligent property data analysis through the Rentcast API with optimized API call allocation. Provides comprehensive real estate market insights, property valuations, rental estimates, and listings data with built-in rate limiting and fallback mechanisms.

An MCP server implementation for accessing Google Analytics 4 (GA4) data, built using the Model Context Protocol TypeScript SDK.

A Model Context Protocol (MCP) implementation for Fitbit, enabling AI assistants to access and analyze your Fitbit health and fitness data. Disclaimer: This is an unofficial integration built using Fitbit's public API and is not affiliated with or endorsed by Fitbit Inc.

Enables an AI agent to verify a single email address in real time, clean an entire uploaded list file with per-address verdicts, and download the results as CSV with the addresses that are safe to send to. It runs on npm with zero dependencies and includes built-in credit reporting and spending limits so agents cannot overspend without approval.

Enables AI assistants to interact with Snowflake databases through SQL queries, table previews, and metadata operations. Features built-in safety checks that block destructive operations and intelligent error handling optimized for AI workflows.

The complete open-source SEO data stack for AI agents, integrating Google Search Console, Google Analytics 4, Bing Webmaster Tools, and Microsoft Clarity with built-in analyst tools like cannibalization check, low-hanging fruit, and content gap analysis, all self-hosted and free.

A governed MCP server enabling LLM agents to query BigQuery, inspect GCS, trigger Airflow DAGs, and run data-quality checks with built-in security guardrails like allow-lists, cost ceilings, and audit trails.

Connects AI assistants to 27 marketing and analytics platforms, enabling read-only access to data, built-in tracking audits, and KPI context for informed answers.

Enables AI assistants to query real-time and historical market data across A-share, Hong Kong, US, and fund markets, including quotes, K-line data, technical indicators, sector and futures/options data. It also supports batch market scans, composite stock analysis, condition-based screening, and built-in analyst prompts and skills for financial workflows.

Enables AI clients to query Apache Doris data through a governed semantic metrics layer built on MetricFlow, with raw-SQL discovery as a fallback. It also provides a Semantic Web UI and CLI for managing semantic models, workspaces, credentials, and multi-node deployments.

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.

MCP server for Databricks Unity Catalog, enabling table listing, schema description, and read-only SQL query execution via natural language. Built from scratch to demonstrate JSON-RPC 2.0 protocol depth.

Turns existing backend APIs (OpenAPI) and SQL databases (PostgreSQL, MariaDB, ClickHouse) into hosted MCP servers for AI clients, with built-in dashboards, forms, and credential encryption.

Enables secure interaction with multiple SQL database engines (MySQL, PostgreSQL, SQLite, SQL Server) through a standardized interface. Supports schema inspection, safe query execution, and controlled write operations with built-in security restrictions.

Serves a metadata and lineage graph built from dbt artifacts, letting agents query lineage-aware warehouse context. It also compiles a single policies.yml into database access controls such as Postgres RLS and Unity Catalog.

Enables comprehensive SQLite database management through natural language including database creation, table operations, data CRUD operations, backup/restore, and CSV import/export functionality. Built on FastMCP framework with PySqlit library for reliable database interactions.

Connects AI coding assistants like Claude Code, Cursor, and Windsurf to enterprise data sources (databases, files, APIs, etc.) via a single binary, with 45+ connector categories and built-in memory tools.

Enables interaction with Google Analytics 4 data through the Google Analytics Data API. Built using Google ADK UI and deployed on Google Cloud Platform with proper service account authentication for GA4 data access.

Enables AI assistants to access real-time financial data, historical stock prices, company information, financial statements, options data, market news, and analyst recommendations through Yahoo Finance. Built with FastMCP v2 for efficient HTTP streaming and comprehensive market analysis tools.