"Airtable MCP server with HTTP streaming capabilities" matching MCP servers:

A Model Context Protocol server that provides tools for programmatically managing Airtable bases, tables, fields, and records through Claude Desktop or other MCP clients.

Enables complete interaction with Airtable databases through 16 CRUD operations including batch processing, schema management, and record manipulation. Designed for AI applications and n8n workflows with HTTP streaming support.

Enables MCP-compatible agents to manage Tomo Streaming rooms and runtimes, including creating, inspecting, controlling, and deleting rooms, as well as checking health and listing stream servers.

Community MCP server for Airtable that provides 30 tools for managing Airtable bases. Uses Airtable's internal API to support capabilities not available through the official REST API:

Provides comprehensive access to the Airtable Web API, enabling AI assistants to create and manage bases, tables, fields, records, views, and webhooks with support for 25+ field types, batch operations, and enterprise features.

Connects AI tools directly to Airtable, allowing users to query, create, update, and delete records using natural language.

Enables comprehensive interaction with Airtable bases including record management with automatic type conversion for all field types. It supports batch operations, schema discovery, and secure authentication using Personal Access Tokens.

Enables comprehensive interaction with Airtable databases through MCP for ChatGPT Business/Projects. Supports full CRUD operations, querying, searching, and database management with pagination, filtering, and per-user authentication.

The world's first dual-engine Airtable MCP server: programmatic control of both Airtable REST/Metadata APIs and Interface Designer (Dashboards, Kanbans, Column Edit Locks, and Publishing) via Chrome CDP.

HTTP-4-MCP configuration tool allows you to easily convert HTTP API into MCP tool, writing the code written. Through simple interface operation, you can quickly configure an mcp-server.

A simple MCP server implementation that demonstrates streaming capabilities with tools for greetings and notifications, accessible through an interactive command-line client.

A bridge server that converts stdio protocol to streamable-http protocol, allowing clients to interact with MCP services over HTTP.

Enables real-time data streaming through Server-Sent Events with timestamp broadcasting and server monitoring capabilities. Optimized for deployment on Render.com with health checks and status endpoints.

Enables comprehensive interaction with the Airtable Web API to manage bases, tables, and records. It supports advanced features like batch record operations, CSV import/export, attachment uploads, and webhook management.

A Docker-based deployment that wraps the Gemini MCP server with supergateway to expose its tool capabilities over Streamable HTTP. It enables users to perform image-editing workflows and interact with the Google Gemini API using a standardized web-accessible endpoint.

Enables interaction with any REST API through token or login authentication, with automatic Swagger/OpenAPI documentation integration for endpoint discovery and comprehensive HTTP request support.

A powerful MCP server for interacting with Trello boards, lists, and cards via AI Hosts.

A demonstration MCP server that provides example tools for weather queries, time retrieval, and request handling, along with advice prompts. Supports both HTTP and stdio modes for testing MCP client integrations.

A lightweight server implementation that exposes Python functions as discoverable tools via HTTP using the Machine-to-Machine Communication Protocol (MCP). Enables remote execution of Python functions through a JSON-RPC interface with async support and type safety.

A transport wrapper that exposes Contentstack MCP tools over HTTP instead of stdio to enable remote access and horizontal scaling. It acts as a proxy for the Contentstack MCP package, allowing browser-based and networked clients to interact with various Contentstack APIs.