Integrations
Open-source overlay network giving AI agents a permanent virtual address, encrypted NAT-traversing tunnels, and an installable app store of
AI Agent Integrations & MCP Infrastructure
MCP servers, APIs, connectors, gateways, and infrastructure that give agents safe access to external tools.
Browse Integrations listings
Integrations
@SocietyAI_Labs
The Universal Network of Agents. Millions of specialized agents working together.
Integrations
Persistent memory layer for AI agents, copilots, and coding tools that need long-term context.
Integrations
Platform for publishing, discovering, and running MCP servers and agent tools.
Integrations
Agent memory platform using temporal context graphs to provide long-term memory and personalized context to AI agents.
Integrations
x402 payments and OpenClaw integration
Integrations
Headless browser API and browser infrastructure for AI agents that need reliable web access.
Integrations
Identity, governance, and stablecoin payment rails for agentic payments and machine-to-machine transactions.
Integrations
Virtual card platform that gives AI agents scoped payment credentials for controlled online purchases.
Integrations
Programmatic inboxes and email delivery infrastructure built for autonomous AI agents.
Integrations
Wallet infrastructure for AI agents that need scoped payment capabilities, policy controls, and onchain transactions.
Integrations
Search APIs for people, companies, jobs, verified contacts, and enrichment workflows usable by agents.
Integrations
Open payment protocol for HTTP-based machine-to-machine and agent-to-service payments.
Integrations
Official Microsoft Playwright MCP server that gives AI agents browser automation through accessibility snapshots and tool calls.
Integrations
@ClawWalletBuzz
The platform for AI agents on Abstract Chain. Mint a .claw domain, get an on-chain identity (ERC-8004), install skills, and earn ETH dividen
Integrations
Payment network and identity layer for AI agents that need to make purchases and transact safely online.
Integrations
@t54ai
Let your agent earn its first agent‑native credit. Underwritten by t54's risk engine. First on Solana.
Integrations
Cloud browser infrastructure for AI agents that need persistent sessions, browser actions, replay, and production web automation.
Integrations
Backend-as-a-service for building and managing AI agents with MCP servers, memory, RAG, tools, and custom code.
Integrations
API-driven phone calling and telephony layer for autonomous AI agents.
Integrations
Open-source credential vault and proxy that lets AI agents access external services without exposing raw API keys.
Integrations
Tool integration platform that connects AI agents to SaaS apps, APIs, OAuth, and MCP-compatible tool calls.
Integrations
Docker catalog and toolkit for discovering, running, and managing containerized MCP servers for AI agents.
Integrations
Coinbase developer toolkit for giving AI agents crypto wallets, onchain actions, and blockchain payment capabilities.
Integrations
Open-source gateway that exposes MCP servers over SSE or streamable HTTP for remote agent tool access.
Integrations
Payments and monetization infrastructure for AI agents, AI services, and agent-to-agent commerce.
Integrations
Developer platform for voice AI agents across phone, web, and MCP-enabled interfaces.
Integrations
Trusted skills and APIs marketplace for agent discovery, tool execution, and external service access.
Integrations
Wallets, agent spending controls, and payment gateways for the agent economy.
Integrations
WhatsApp Cloud API toolkit with storage, flows, and conversation APIs for messaging automations.
Integrations
Hosted browser automation infrastructure for Playwright, Puppeteer, scraping, testing, and agent-driven browser workflows.
Integrations
Managed browser infrastructure and APIs for AI agents that need reliable web automation, scraping, crawling, and browser sessions.
Integrations
MCP server from Upstash that gives AI coding agents up-to-date library and framework documentation.
Integrations
Tool-calling platform that connects agents to thousands of enterprise tools with authorization and integration management.
Integrations
Stateful AI agent platform focused on persistent memory, context management, and long-running agent behavior.
Integrations
Official Chrome DevTools MCP server that lets coding agents inspect, debug, and control a live Chrome browser.
Integrations
Agent identity and payment toolkit with email, phone, cards, wallet, credential vault, and paid API access.
Integrations
Secure infrastructure for running AI-generated code, restoring agent workflows, and managing sandboxed execution.
Integrations
Cloud sandbox infrastructure for AI agents that need secure code execution, computer-use environments, and tool runtimes.
Integrations
Enrichment workflows and intelligence-grade profiles for people, companies, jobs, and sales data.
Integrations
Persistent cloud computers for agent code execution, remote workflows, and long-running automation.
Integrations
Search engine and web search API built for AI systems, agents, research workflows, and retrieval-powered applications.
Integrations
Remote desktop and browser infrastructure for computer-use agents that need code execution, filesystem access, and scalable browser instances.
Integrations
Open-source temporal knowledge graph framework for building and querying real-time context graphs for AI agents.
Integrations
Hosted MCP server that gives AI agents access to thousands of APIs, app integrations, and managed OAuth flows.
Marketing
API-first cold outbound email infrastructure for AI agents with reply-aware workflows, signed webhooks, sender pacing, and approvals.
Integrations
Open-source MCP integration infrastructure for letting AI agents use external tools reliably and at scale.
Automation
SIM-ONE Alpha is a protocol-governed AI employee from Gorombo, built with Flue and the SIM-ONE Framework.
About AI Agent Integrations & MCP Infrastructure
This category maps AI agents, agentic products, and supporting tools focused on integrations workflows. Use it to move from broad discovery to a shortlist you can inspect and test.
Listings currently use directory signals such as featured status, votes, and recency to aid discovery. That order is not a quality, safety, or procurement rating, so compare the official sources before you commit.
A strong integrations listing should make its role and workflow boundary clear. Before choosing one, decide which inputs it needs, which systems it can touch, what a successful output looks like, and where a human should review the result. That simple checklist helps separate practical options from projects that look impressive but are hard to use in a real stack.
How to evaluate Integrations listings
Use this page as a shortlist, then compare each listing against the job it should perform. The right integrations option should make its value and operating boundary understandable. If a listing does not explain its setup, data access, approval model, or output format, treat it as something to test carefully before relying on it.
| Question | Why it matters | Good sign |
|---|---|---|
| What integrations task does it own? | Agent tools are easiest to compare when the task is specific instead of broadly described. | The listing describes a repeatable workflow, not only a model or chat interface. |
| Which systems can it access? | Permissions, APIs, browsers, and data sources define both usefulness and risk. | The tool explains connectors, credentials, and human approval points. |
| How are results reviewed? | A useful agent should leave enough evidence for a person to trust or correct the output. | Logs, screenshots, citations, status history, or review queues are visible. |
| Can it recover from failure? | Real workflows include missing data, rate limits, changed pages, and ambiguous instructions. | The tool exposes retries, alerts, fallbacks, or clear handoff behavior. |
Best fit
Start here when your team already knows the integrations job it wants to improve and needs a shortlist of tools to compare. The category works best for buyers and builders who want to move from broad agent research into concrete options, integration checks, and workflow tests.
Use with caution
Be careful when a listing promises broad autonomy without showing how it handles credentials, edge cases, or review. For important integrations workflows, run a small test with low-risk data before connecting sensitive accounts or letting an agent take irreversible actions.
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Frequently Asked Questions
What belongs in the integrations category?
This category groups agents, agentic products, and supporting tools whose main workflow relates to integrations. Some are complete products and others are infrastructure, so open each listing to confirm the product type and current scope.
How should I compare integrations listings?
Compare the same real task across two or three options. Record setup effort, permissions, output quality, review time, failure behavior, deployment model, and whether the result is useful without extensive rework.
Does every integrations listing run autonomously?
No. ClawSites includes autonomous agents, supervised agentic products, frameworks, infrastructure, and adjacent resources. Treat autonomy as something to verify on the official product site, not something implied by the category label.
What should I verify before using a integrations listing?
Check what data it reads, what actions it can take, where credentials are stored, what requires human approval, and what evidence remains after a run. Start with a test account or low-risk data when possible.
How are integrations listings ordered?
The directory currently uses listing signals such as featured status, votes, and recency to aid discovery. The order is not an independent quality, security, or procurement rating.
Can I submit a integrations agent or tool?
Yes. Submit a working public URL and a precise description of the job the product performs. ClawSites reviews submissions before publication and may adjust the category to keep the directory useful.
Discover more agentic projects
Browse the full AI agent directory or submit a project for review.