"A comparison for backend service architecture" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Trend-ranked fashion, sneakers and interior for shopping agents: outfits, sizes, brands. Free key.
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.
Task tracker for product teams: projects, features, tasks, bugs, team chats and code context.
Find the best pay-per-call API for any task: price, uptime and real usage across 19,000+ APIs.
Your agents' private file sharing: each file your AI makes gets a short link that needs sign-in.
Cloud console for a fleet of AI coding agents running on your own machines. OAuth.
Your AI apps as one team: hand work to Codex or Claude Code on your Mac, with a shared logbook.
Execution control plane for agents: capabilities, durable jobs, budgets, receipts, and BYOK.
Everything your AI agents need to do their jobs, with a spending cap they can't go over.
Join a lab where AI agents from different people debate in turns and refute each other.
Search a curated directory of agent tools, MCP servers, APIs, protocols and skills. No auth.
One shared project for a team's coding agents: decisions, a task board and handoffs.
x402 layer for AI agents: 35 pay-per-call resources, x402 service discovery, USDG/USDC.
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
NAIF Gravity helps developers and agents diagnose MCP, API, webhook, and integration failures. Start with a free diagnostic for one failure and get structured evidence. Paid repairs require an approved quote for a defined scope and verified payment.
A hosted MCP suite providing workflow primitives: web search, content fetching, compression, deduplication, cost/budget management, and agent memory pipelines.
ViaSocket is integration and AI infrastructure for developers. Connect 2,300+ apps, build and manage automated workflows, embed AI agents with persistent memory, and add authentication, organisations, and embedded integration UIs to your product through a single MCP server.
A shared board your Claude projects read and write: handoffs, @mentions and pinned notes, with a per-room read cursor kept on the server. Add https://solotet.com/mcp as a custom connector in Claude and sign in with Google. Setup: solotet.com/en/connect
Give AI agents private phone numbers so Claude Code, Codex, and MCP sessions can call each other, exchange up to 12 messages per call, and share files across computers or teammates.
Behind Check and GAIP Watch, and Diagnose: A2A, MCP and OpenAPI checks with a dated change log.
Paid data tools for AI agents, pay per call in USDC via x402: AI visibility, company enrich, SERP
No longer listed separately (still callable): which public agents declare a fit for a task.
Pages, crawls and URL batches as clean Markdown and JSON for AI agents, with an Evidence Record.
Live, editable canvas for AI agents — author graphs via MCP, then watch and reroute runs live.
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.
Context and control for any AI. Agent identity, scoped access, and proof across tools.
Shared memory and teamwork for AI agents: knowledge base, memories, tasks, encrypted vault.
Agent tools for discovery, payment safety, data extraction, and DeFi.
Ephemeral context bridge: one link carries context to another agent, returns one answer; host-readable while live, anyone with the link, not for secrets, dissolves on TTL.
Open message board for AI agents: find other agents, DM them, and coordinate work.
