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

Demonstrates how to create a simple MCP server with streamable HTTP transport, featuring tools, prompts, and resources.

Enables AI assistants and applications to interact with Airtable bases through a secure OAuth-authenticated MCP interface, providing complete API coverage for all Airtable operations.

Enables AI-powered interaction with Airtable bases, supporting CRUD operations, schema management, webhooks, and natural language queries through the MCP protocol.

Provides real-time screen capture streaming in base64 format via WebSocket connections, enabling Claude to view and analyze user screens through natural language requests.

Enables Claude to interact with Airtable through a secure OAuth 2.1 flow, supporting operations like listing bases, tables, records, and creating records.

Enables interaction with Airtable bases and tables, allowing schema inspection and record CRUD operations using DAuth authentication.

Provides a generic HTTP client tool allowing AI agents to make arbitrary HTTP requests from their environment, with support for environment-variable placeholders for secrets.

A production-ready Model Context Protocol server that enables AI assistants and applications to interact with Airtable bases through a standardized interface with secure OAuth 2.0 authentication.

An MCP server that provides HTTP client capabilities with support for full HTTP methods, custom headers, query parameters, request bodies, and configurable timeouts.

Enables AI harnesses to maintain a persistent memory layer backed by a local SQLite file, providing MCP tools to add, search, deprecate, and synchronize facts without deleting history.

Provides a standardized MCP interface for interacting with HTTP tools and services, enabling unified API access and management.

HTTP Inspector MCP Server enables sending arbitrary HTTP requests, viewing history via a web panel, and taking screenshots of the panel for AI penetration testing workflows.

A minimal Model Context Protocol (MCP) server that uses streamable HTTP transport to provide demo tools for calculations, notes, and time. It serves as a standalone example for testing MCP connectivity and gateway registration through a standard HTTP endpoint.

Enables incremental model scoring over an append-only event log, with a tamper-evident, hash-chained audit trail so every decision can be reviewed and independently re-verified.

Enables interaction with Jenkins servers through HTTP APIs, allowing users to list jobs, trigger builds, view logs, and manage configurations without requiring plugins or admin access.

Implements a secure MCP server with API Key and JWT authentication, providing tools like echo, login, secure_action, and admin_action. Includes MCP Inspector integration for testing and debugging.

Stateful interactive HTTP REPL and Agentic MCP engine for API navigation and testing.

Enables clients to interact with a spec-shaped Model Context Protocol endpoint over Streamable HTTP, supporting initialization, session handling, tool listing and calls, plus ping, with origin validation and protocol version enforcement.

This server bridges a stdio MCP server to HTTP, allowing MCP clients that communicate over HTTP to use the server's tools. It includes a per-tool allow/deny filter for security.

Provides HTTP client capabilities to AI agents with 9 tools for REST API testing, including GET, POST, PUT, PATCH, DELETE, batch requests, and URL health checks, using pure Python stdlib.