"MCP servers that work without API keys" matching MCP servers:

Enables WebGPT to delegate durable coding-project tasks to a local Luna worker over MCP, managing sessions, tools, permissions, memory, and recovery while preserving at-most-once execution.

Enables governed Codex work sessions by planning bounded segments, maintaining capacity reserves, and creating checkpoint-based resume contracts so long-running jobs can pause and resume deterministically within quota limits.

An MCP (Multi-Agent Conversation Protocol) Server that provides access to Google Cloud's Dataproc Metastore API, enabling AI agents to manage and interact with Hive metastore services through natural language.

An MCP Server that enables interaction with the Obono RKSV API, automatically generated using AG2's MCP builder to provide a standardized way to access the functionality defined in the OpenAPI specification.

Settlement rails for AI labor — USDC escrow on Base Mainnet, 1% protocol fee, designed for autonomous agents. 10 MCP tools covering the full escrow lifecycle: * Quoting calldata for create-intent, submit-proof, release-funds (broadcast gated) * Single-call x402 payment binding (replaces the 5-step x402 dance with one HMAC-signed POST) * Server-side reputation from on-chain event scan * Li

An MCP server for Google's Certificate Authority API that enables management of private certificate authorities through natural language interactions.

This MCP Server provides a natural language interface to interact with Google's Policy Analyzer API, allowing users to analyze policies and evaluate compliance through conversations.

An MCP (Multi-Agent Conversation Protocol) Server that enables AI agents to interact with Google Docs via natural language, automatically generated using AG2's MCP builder.

An MCP server that provides access to Google's Access Context Manager API, enabling management of service perimeters and access levels through natural language.

An auto-generated MCP server that enables interaction with the OpenAI API, allowing users to access OpenAI's models and capabilities through the Multi-Agent Conversation Protocol.

An MCP server that enables natural language interactions with Google's Dialogflow API, allowing users to create and manage conversational agents, intents, and entities through the Dialogflow v3beta1 API.

Provides a deterministic failure-decision API for MCP clients, returning one of six actions (RETRY_NOW, WAIT, REPAIR_REQUEST, VERIFY_FIRST, ESCALATE, ABORT) based on failure context to guide safe next steps.

A Multi-Agent Conversation Protocol Server that provides programmatic access to the Google Authorized Buyers Marketplace API, allowing agents to interact with the digital advertising marketplace through natural language.

Remote MCP/API trust gate for AI agents to inspect readiness before performing Korean business workflow operations like vendor onboarding and payment release.

It gives AI agents one tool to access the Omega-API judge, which evaluates conversational turns and returns a decision and gate action (release, clarify, suppress, or none) to guide the agent's response.

Manage and monitor Hadoop clusters via Apache Ambari API, enabling service operations, configuration changes, status checks, and request tracking through a unified MCP interface for simplified administration. * Guide: https://call518.medium.com/llm-based-ambari-control-via-mcp-8668a2b5ffb9

A Model Context Protocol server that enables AI assistants to interact with the Deriv trading API, providing access to active trading symbols and account balance information.

This server provides a Model Context Protocol interface for the FusionAuth API, enabling users to manage users, applications, and authentication configurations through natural language. It supports over 300 tools for various operations, including creating, searching, and retrieving data from a FusionAuth instance.

Enables AI agents to access real-time market data, manage Moomoo trading accounts, and execute trades via the Moomoo platform.

Enables your own ChatGPT to build and manage a collaborative work board—dashboards, categories, datasets, monitors, and policies—through typed WebMCP tools, with human approval, audit trails, and guardrails enforced on every action.