/// CATEGORY
Integrations OpenClaw Tools
APIs, connectors, and bridges that plug OpenClaw into your stack.
About Integrations OpenClaw tools
This category highlights OpenClaw tools focused on integrations workflows. Use it to find platforms that help agents automate, coordinate, and execute tasks without manual busywork.
The list is ranked by community signals, so the most trusted integrations tools rise to the top. Compare features, integration depth, and automation coverage before you commit.
A strong integrations agent tool should make the workflow boundary clear. Before choosing a listing, decide which inputs the agent 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 tools from demos that look impressive but are hard to operate in a real stack.
How to choose the right tools
Define your workflow
Map the integrations steps you want OpenClaw to automate end-to-end.
Check integrations
Prioritize tools that connect with the data sources and apps you already use.
Measure automation depth
Look for tools that support multi-step actions, retries, and context awareness.
/// DECISION GUIDE
How to evaluate Integrations tools
Use this page as a shortlist, then compare each tool against the work it must perform. The right integrations tool should reduce manual effort without hiding the decisions an agent is making. 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 for production work.
| 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 tool 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.
/// ADOPTION PLAN
Build a safe shortlist for Integrations workflows
A useful integrations shortlist should start with the work your team already repeats. Write down the trigger, the information the agent needs, the system it may use, the output a person expects, and the review point before choosing a tool. This turns a broad category page into a practical buying or building plan.
The first test should be narrow enough to inspect manually. If the tool is meant to summarize updates, compare one known input against the expected summary. If it should operate a browser or API, use a test account first. If it should draft a message, keep the send step manual until the review process is reliable.
Do not treat a high-level agent label as proof that a product fits the job. A strong integrations tool should explain its setup requirements, permission model, output format, and failure behavior. If those details are missing, use the listing for discovery and verify the current facts on the official website before connecting accounts or private data.
| Stage | Action | Pass signal |
|---|---|---|
| Shortlist | Pick two or three integrations tools and compare them against the same workflow. | Each option has a clear use case, working website, and visible setup path. |
| Permission review | List the files, browser sessions, inboxes, APIs, databases, or accounts the tool needs. | The first test can run with limited access or sample data. |
| Output test | Run one realistic task and save the result, transcript, logs, screenshots, or citations. | A reviewer can explain what happened without rerunning the task. |
| Failure test | Try an incomplete input, a missing permission, or a changed page before expanding usage. | The tool stops, asks for help, retries safely, or returns a clear partial result. |
| Rollout | Document who owns approvals, what the agent may do next, and how to reverse mistakes. | The workflow can be repeated by another user without relying on hidden context. |
Use the directory for discovery
ClawSites helps you find integrations options, compare categories, and move from broad research into a shortlist.
Use official docs for facts
Check current pricing, setup commands, supported integrations, security defaults, and account requirements at the source.
Use a test run for proof
A successful demo is useful only when the result is reviewable, repeatable, and limited to the access the task actually needs.
After the first test, keep a short comparison note for each candidate. Include the tool name, official source checked, workflow attempted, access granted, output reviewed, and reason the tool should be kept, limited, or skipped. This makes future category reviews faster because the team can see why a listing was selected instead of repeating the same broad research.
For integrations work, the best evidence is usually practical: a saved result, a trace, a screenshot, a draft, a report, a ticket, or a log that shows what the agent did. If a tool cannot produce evidence a reviewer understands, keep it out of higher-risk workflows until the review path improves.
Revisit this category when new tools are added or when your workflow changes. A tool that is too limited for one process may be useful for a narrower job, and a tool that looks strong in a demo may still need more guardrails before it belongs in a production stack.
If several candidates look similar, choose the one that is easiest to explain to another reviewer. Clear setup, narrow permissions, visible outputs, and source documentation usually matter more than a broad autonomy claim. The best category decision is one that another teammate can repeat without relying on hidden context from the first evaluator.
This is especially important for smaller categories with fewer listings: less choice makes verification more important, not less.
A short note also helps when new submissions arrive, because reviewers can compare new tools against the same baseline. Keep that baseline visible before changing the workflow.
When a category has only a handful of strong options, resist the urge to pick the first tool that matches the label. Look for evidence that the product can support the exact operating context: single-user research, team review, browser work, API automation, reporting, scheduling, or customer-facing communication. The best shortlist explains why each candidate belongs, what still needs verification, and which tool should stay as a backup if the first option fails a realistic test.
For ongoing use, review the shortlist again after the first real run. Keep the tool that produced the clearest evidence, not just the fastest output.
Browse Integrations sites
45 sites
Society AI
The Universal Network of Agents. Millions of specialized agents working together.
Kite
Identity, governance, and stablecoin payment rails for agentic payments and machine-to-machine transactions.
AgentCard
Virtual card platform that gives AI agents scoped payment credentials for controlled online purchases.
AgentMail
Programmatic inboxes and email delivery infrastructure built for autonomous AI agents.
ClawWallet
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
x402claw
x402 payments and OpenClaw integration
Crossmint Agent Wallets
Wallet infrastructure for AI agents that need scoped payment capabilities, policy controls, and onchain transactions.
Steel
Headless browser API and browser infrastructure for AI agents that need reliable web access.
Skyfire
Payment network and identity layer for AI agents that need to make purchases and transact safely online.
ClawCredit
Let your agent earn its first agent‑native credit. Underwritten by t54's risk engine. First on Solana.
Playwright MCP
Official Microsoft Playwright MCP server that gives AI agents browser automation through accessibility snapshots and tool calls.
Browserbase
Cloud browser infrastructure for AI agents that need persistent sessions, browser actions, replay, and production web automation.
Zep
Agent memory platform using temporal context graphs to provide long-term memory and personalized context to AI agents.
Toolhouse
Backend-as-a-service for building and managing AI agents with MCP servers, memory, RAG, tools, and custom code.
AgentPhone
API-driven phone calling and telephony layer for autonomous AI agents.
OneCLI
Open-source credential vault and proxy that lets AI agents access external services without exposing raw API keys.
Composio
Tool integration platform that connects AI agents to SaaS apps, APIs, OAuth, and MCP-compatible tool calls.
Docker MCP Catalog
Docker catalog and toolkit for discovering, running, and managing containerized MCP servers for AI agents.
Coinbase AgentKit
Coinbase developer toolkit for giving AI agents crypto wallets, onchain actions, and blockchain payment capabilities.
Supergateway
Open-source gateway that exposes MCP servers over SSE or streamable HTTP for remote agent tool access.
Nevermined
Payments and monetization infrastructure for AI agents, AI services, and agent-to-agent commerce.
Orthogonal
Trusted skills and APIs marketplace for agent discovery, tool execution, and external service access.
Fiber
Search APIs for people, companies, jobs, verified contacts, and enrichment workflows usable by agents.
Sponge
Wallets, agent spending controls, and payment gateways for the agent economy.
Vapi
Developer platform for voice AI agents across phone, web, and MCP-enabled interfaces.
Kapso
WhatsApp Cloud API toolkit with storage, flows, and conversation APIs for messaging automations.
Browserless
Hosted browser automation infrastructure for Playwright, Puppeteer, scraping, testing, and agent-driven browser workflows.
Hyperbrowser
Managed browser infrastructure and APIs for AI agents that need reliable web automation, scraping, crawling, and browser sessions.
Context7
MCP server from Upstash that gives AI coding agents up-to-date library and framework documentation.
Arcade
Tool-calling platform that connects agents to thousands of enterprise tools with authorization and integration management.
Letta
Stateful AI agent platform focused on persistent memory, context management, and long-running agent behavior.
Chrome DevTools MCP
Official Chrome DevTools MCP server that lets coding agents inspect, debug, and control a live Chrome browser.
ClawCard
Agent identity and payment toolkit with email, phone, cards, wallet, credential vault, and paid API access.
Daytona
Secure infrastructure for running AI-generated code, restoring agent workflows, and managing sandboxed execution.
E2B
Cloud sandbox infrastructure for AI agents that need secure code execution, computer-use environments, and tool runtimes.
Agent Computer
Persistent cloud computers for agent code execution, remote workflows, and long-running automation.
Sixtyfour
Enrichment workflows and intelligence-grade profiles for people, companies, jobs, and sales data.
Mem0
Persistent memory layer for AI agents, copilots, and coding tools that need long-term context.
Exa
Search engine and web search API built for AI systems, agents, research workflows, and retrieval-powered applications.
Scrapybara
Remote desktop and browser infrastructure for computer-use agents that need code execution, filesystem access, and scalable browser instances.
Graphiti
Open-source temporal knowledge graph framework for building and querying real-time context graphs for AI agents.
mcp.run
Platform for publishing, discovering, and running MCP servers and agent tools.
Pipedream MCP
Hosted MCP server that gives AI agents access to thousands of APIs, app integrations, and managed OAuth flows.
x402
Open payment protocol for HTTP-based machine-to-machine and agent-to-service payments.
Klavis AI
Open-source MCP integration infrastructure for letting AI agents use external tools reliably and at scale.
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Frequently Asked Questions
What should I check before using an OpenClaw integrations tool?
How do I compare integrations tools in this category?
Are integrations tools safe to connect to production accounts?
When is a integrations tool a poor fit?
Can I submit a tool to this category?
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