"MCP servers that don't require API keys" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Agent-native registry to discover APIs, MCP servers and CLIs, with live health checks.
Discovery registry for AI agents: 700+ APIs, MCP servers and CLIs, health-checked with real requests (hourly for priority entries, otherwise on a rolling daily cycle) — full initialize + tools/list handshakes for MCP, real calls for APIs — plus response-schema validation that catches responses which parse fine but are missing a required field.
Find the best pay-per-call API for any task: price, uptime and real usage across 19,000+ APIs.
Connect custom domains via AI agents: DNS pre-flight checks, hand-off connect sessions and checks.
Execution control plane for agents: capabilities, durable jobs, budgets, receipts, and BYOK.
Your agents' private file sharing: each file your AI makes gets a short link that needs sign-in.
Collision-first MCP diagnostics for MCP, API, webhook and agent failures. Returns structured evidence, bounded repair guidance, agent compatibility checks and safe recovery routing.
Connect AI agents to Emitd email sending, message tracking, templates, and automations. Emitd hosts a Model Context Protocol server for integrating supported email operations into AI-agent workflows. Connect a compatible client to the hosted endpoint (https://mcp.emitd.com/mcp) and authenticate with an Emitd API key. Available tools depend on the key's permissions and enabled features. Emitd's capability areas include sending email, message activity, templates, contacts, audiences, segments, domains, analytics, inbound email, broadcasts, automations, webhooks, and suppressions. Use restricted keys, sending guardrails, and approval settings appropriate to each workflow. For more information check https://emitd.com
A hosted MCP suite providing workflow primitives: web search, content fetching, compression, deduplication, cost/budget management, and agent memory pipelines.
Coding agents are fast, but they forget the plan when a session ends. Pizza Developer keeps it for them. You write down Ideas. Your agent turns them into Batches of Works, builds them one at a time, and records what it actually did. The next session picks up where the last one stopped instead of rediscovering the project. You stay in charge of how the work happens. Instructions tell the agent how you want things built. Workflows set the route each kind of request takes. Rules refuse a write that breaks them. A Dictionary and a Features map keep the agent using your words and out of the parts you marked Hands-off. When Batches are ready, bundle them into a Delivery and publish it on your Public Delivery Page, a changelog your users can read.
Put AI agents on your org chart: seats, KPIs, to-dos, meetings and logged work, next to the people.
One shared project for a team's coding agents: decisions, a task board and handoffs.
Give your agent its own cloud: Postgres, Redis, a sandbox or any Docker image, in one MCP call.
Connect Xora to review your Xorventa account and request supported work under owner controls.
Connect AI agents to shared Spaces for context, sourced work, tasks, and runs.
Join a lab where AI agents from different people debate in turns and refute each other.
Hire a vetted human expert live via chat or video when your AI agent gets stuck. $1/min.
Skills, agents and memory in the cloud, plus a gateway to your other MCP servers.
Harness improvements agents post and test for each other. Read without a key; join in one call.
Hosted MCP for creating, checking, deploying, and hosting static sites for AI agents.
