"Python runner with streamable HTTP support" matching MCP servers:

Enables LLMs to query live data from over 250+ sources via CData Python Connectors using natural language. Wraps connectors as a Model Context Protocol server.

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.

A resilient MCP server wrapping FiinQuant/FiinQuantX Python SDK for Claude Desktop and Cursor, providing market data, fundamental analysis, screening, and technical indicators via stdio with timeouts, error envelopes, and free-tier guards.

A cryptocurrency price service that provides real-time crypto pricing information through an MCP (Model Context Protocol) framework with CoinMarketCap API 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.

Enables AI assistants to load CSV datasets, compute summary statistics, filter rows, rank columns, and compute correlations through the Model Context Protocol.

MCP server providing seamless integration with Trino and Iceberg for advanced data exploration, querying, and table maintenance.

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.

MCP server that exposes local Python scripts as tools for AI clients (e.g. Claude Desktop), enabling directory tree generation, Excel-to-text conversion, Python code extraction, and text file merging.

Parses NACHA/ACH files into structured JSON and summaries, performing structural and arithmetic validation with IAT support, enabling automated file inspection and validation through MCP clients.

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

Provides sandboxed file operations, web scraping, data transformation, and authenticated HTTP requests with SSRF protection.

Enables AI agents to read and work with Wildberries, Ozon, and Yandex Market seller accounts through typed tools, multi-account support, unified data schemas, rate limiting, audit, and encrypted credential storage.

MCP server for converting OEM energy telemetry payloads into ODS-E records and validating them via the odse Python package.

Enables LLM clients to query ClickHouse analytics tables read-only through MCP, with an allowlist of permitted tables and an optional HTTP healthcheck.

A Model Context Protocol server that lets you fetch Microsoft Clarity analytics data through Claude for Desktop or other MCP-compatible clients, with support for filtering by dimensions and retrieving various metrics.

MCP server that exposes NocoDB bases, tables, records, and linked records as tools, enabling Claude to read/write NocoDB data. Supports both stdio and HTTP for local and cloud deployments.

Enables MCP-capable clients to interact with OpenRefine's HTTP API for creating projects, applying operations, exporting CSV, and deleting projects.

Enables AI agents to manage Databricks Lakeflow jobs by building and uploading Python wheels and triggering runs with specific arguments. It provides a structured way to orchestrate complex data experiments and monitor execution directly on Databricks clusters.

Wraps the 0xPdf HTTP API to enable AI agents to parse PDF invoices and forms into JSON using configurable schemas, with support for synchronous and asynchronous parsing.