Install command
Provided
Access any application, workflows, or data via Workato's integration platform
Source-backed facts for citing this resource, derived directly from the registry — also available as plain text for AI assistants.
Decision playbook
Signals are comparatively strong, but you should still validate source, privacy posture, and package provenance for your environment.
0
96
—
No baseline selected
No major trust-signal divergence detected in the current selection.
Confirm ownership and provenance before trusting install instructions.
Source link availableRequired
Open the canonical repository and verify ownership.
Source provenance statusRequired
Marked as first-party.
Metadata reviewed
Registry metadata indicates a reviewed listing.
Validate risk disclosures before installation or API wiring.
Safety notes presentRequired
Review the listed safety guidance before running commands.
Privacy notes presentRequired
Review data handling notes before connecting accounts or secrets.
Trust level risk gateRequired
Trust level does not block evaluation.
Check package metadata and artifact integrity signals.
Install payload available
Install or copy payload is available for review.
Package verification flag
Package marked verified.
Checksum metadata
SHA-256 hash is present.
Use compare context to validate trade-offs before adoption.
Compare tray has multiple entries
Add at least one more entry to compare trust differences.
Baseline comparison available
No baseline peer selected yet.
Diverging trust signals identified
No major trust-signal divergence found.
Setup at a glance
Copy-ready — paste the snippet to get started.
Install command
Provided
Config snippet
Provided
Copy snippet
Provided
Prerequisites
10 to clear
Platforms
2 listed
Difficulty
1/100
Adoption plan
Current risk score 0/100. Use staged verification before broader rollout.
Validate source and review signals before any execution.
Confirm source provenanceRequired
Source URL/provenance metadata is present.
Confirm metadata review state
Listing has review metadata.
Verify install payload
Install/config payload exists and can be inspected.
Confirm safety, privacy, and package integrity signals.
Review safety notesRequired
Safety notes are present.
Review privacy notesRequired
Privacy notes are present.
Verify package integrity metadata
Package verification/checksum metadata is available.
Adopt in controlled steps based on the selected plan.
Run in isolated sandbox firstRequired
Use a constrained sandbox and observe behavior across multiple tasks.
Roll out graduallyRequired
Roll out to a small cohort before wider usage.
Set monitoring and fallback
Define rollback path and monitor errors after adoption.
Evidence readiness
Required evidence gates are covered (6/6 signals complete).
Source repository/provenance is listed.
Required in this preset
Review metadata is present.
Required in this preset
Safety notes are present.
Required in this preset
Privacy notes are present.
Optional in this preset
Package integrity metadata is present.
Optional in this preset
Install payload is available.
Required in this preset
Required evidence gates are covered for this preset.
Decision timeline
6/6 steps complete with no blocking gaps for this preset.
triage
Source/provenance metadata is available.
triage
Review metadata is available.
verify
Safety notes are available.
verify
Privacy notes are available.
verify
Package integrity metadata is available.
rollout
Install payload is available.
No required blockers for this timeline preset.
Prerequisite readiness
10 prerequisites to line up before setup. Have accounts and credentials ready first.
Safety & privacy surface
1 safety and 1 privacy notes across 1 risk area.
{
"workato": {
"url": "https://your-workspace.workato.com/mcp",
"transport": "http"
}
}Connect to hundreds of applications through Workato's enterprise automation and integration platform. Execute recipes on demand, access connected application data, retrieve and update cross-system data, monitor job execution status, trigger complex automation workflows, manage recipe connections, view recipe health metrics, and process real-time events—all through natural language commands. Supports Bearer token authentication, role-based access control, audit trails, and comprehensive workflow automation.
{
"workato": {
"url": "https://your-workspace.workato.com/mcp",
"transport": "http"
}
}
Common usage pattern for this MCP server
Ask Claude: "Sync Salesforce contacts to HubSpot"
Common usage pattern for this MCP server
Ask Claude: "Execute the invoice processing workflow"
Common usage pattern for this MCP server
Ask Claude: "Check status of overnight data sync"
Common usage pattern for this MCP server
Ask Claude: "Trigger customer onboarding recipe"
Execute a Workato recipe with input data
// Execute Workato recipe
const execution = await workato.recipes.execute({
recipe_id: "recipe-id",
input: {
data: "input-data",
},
});
Workato webhook rate limits: 20 events/sec (72K events/hour), burst capacity 9K events. Check response headers: X-Rate-Limit-Remaining (remaining events), X-Rate-Limit-Reset (reset time). Wait for Retry-After duration before retrying. Reduce event frequency by optimizing recipes to minimize webhook calls. Use batch processing where possible. Monitor webhook usage in Workato Dashboard. Consider using polling triggers instead of webhooks for high-frequency events. Implement exponential backoff for retries.
Navigate to Jobs tab in Workato Dashboard, select the failed job, inspect Data tab step-by-step to identify the failing step. Check trigger configuration matches event source (verify trigger data structure). Verify all app connections are active (test connections in Connections tab). Review error message for specific issue (authentication, data format, API limits). Re-authenticate connections if credentials expired. Check recipe logic for data transformation errors. Verify input data format matches recipe expectations. Review recipe logs for detailed error context.
Use Wait/Batch/Conditional steps in recipes to rate-limit API calls programmatically. Reduce number of actions per recipe (combine operations where possible). Optimize recipes to make minimal API calls (use lookup tables, cache data). RecipeOps monitors API rate limit violations every 5 minutes and sends alerts. Review app-specific rate limits in Workato documentation. Implement retry logic with exponential backoff. Use Workato's built-in rate limiting features. Consider using webhooks instead of polling to reduce API calls. Monitor RecipeOps alerts for rate limit violations.
Verify recipe is active (not paused) in Recipe tab - check recipe status indicator. Check trigger configuration matches event source (verify trigger type, filters, conditions). Test trigger with sample data using 'Test trigger' button. Review connection permissions allow trigger access (check connection scopes in Connections tab). Check app webhook configuration if using webhook trigger (verify webhook URL, authentication, event subscriptions). Verify recipe has required connections configured (all connectors have active connections). Check recipe schedule if using scheduled trigger (verify timezone, frequency). Review recipe logs for trigger activation attempts. Ensure workspace has sufficient capacity for recipe execution.
Verify API token is valid and not expired. Check token permissions match required operations. Ensure token format is correct (Bearer token in Authorization header). For OAuth integrations, verify token refresh logic is working correctly.
Implement exponential backoff retry logic with jitter. Use Workato API rate limit headers to monitor usage. Reduce concurrent requests. Cache frequently accessed recipe data. Check Workato documentation for specific rate limits.
Verify API token has access to the recipe or connection. Check recipe permissions and workspace membership. Ensure API token has required permissions for target operations.
Check network connectivity and firewall settings. Verify Workato API endpoints are accessible. Increase request timeout values. Implement connection pooling and retry mechanisms with exponential backoff.
Workato MCP Server for Claude side by side with 3 alternatives on trust, install, platform support, and disclosed safety notes — all from reviewed registry metadata.
3 trust signals differ across this comparison (Package trust, Source provenance, Submitter).
| Field | Access any application, workflows, or data via Workato's integration platform Open dossier | Browse, summarize, and generate Canva designs directly from Claude Open dossier | Telethon-powered MCP server for connecting Claude to Telegram accounts, chats, messages, contacts, media, folders, groups, channels, profile settings, and read-only or full account workflows. Open dossier | Connect to nearly 8,000 apps through Zapier's automation platform Open dossier |
|---|---|---|---|---|
| Next steps | ||||
| Trust | ||||
| Review status | ReviewedMaintainer reviewed | ReviewedMaintainer reviewed | ReviewedMaintainer reviewed | ReviewedMaintainer reviewed |
| Package trustDiffers | Package verified | Package verified | Package not verified | Package verified |
| Source provenanceDiffers | Source-backed | No submission link | Source-backed | No submission link |
| SubmitterDiffers | — | — | oktofeesh1 | — |
| Install risk | Low risk | Low risk | Review first | Low risk |
| Notes | Safety ✓ Privacy ✓ | Safety ✓ Privacy ✓ | Safety ✓ Privacy ✓ | Safety ✓ Privacy ✓ |
| Brand | ||||
| Category | mcp | mcp | mcp | mcp |
| Source | first-party | first-party | source-backed | first-party |
| Author | Workato | Canva | chigwell | Zapier |
| Added | 2025-09-18 | 2025-09-18 | 2026-06-06 | 2025-09-18 |
| Platforms | Claude CodeClaude Desktop | Claude CodeClaude Desktop | Claude CodeClaude Desktop | Claude CodeClaude Desktop |
| Source repo | — | — | — | — |
| Safety notes | ✓Restrict recipe and connection access because automations can trigger reads or writes across many connected business systems. | ✓Limit access to the intended Canva team or projects and review generated or modified designs before publishing or sharing them. | ✓Telegram MCP Server can read chats and messages, send, schedule, edit, delete, forward, and pin messages, mark chats read, create polls, press inline buttons, manage contacts, manage groups and channels, upload or download media, and update profile settings when write tools are exposed. A Telegram session string has the normal authority of the Telegram account inside the server process; read-only mode limits the MCP tool surface but does not reduce the underlying session authority. The upstream README warns that the PyPI `telegram-mcp` name is owned by a different project, so do not pass Telegram API credentials or session strings to that package. File-path tools are disabled until allowed roots are configured; keep upload and download roots narrow when enabling media or file operations. Require human approval before sending, editing, deleting, forwarding, pinning, reacting, inviting, banning, changing permissions, or updating profile and privacy settings. Use separate Telegram accounts for testing, monitor Telegram rate limits and platform rules, and keep proxies or multi-account routing explicit. | ✓Restrict the generated Zapier MCP URL and enabled actions because automations can write across many connected apps. |
| Privacy notes | ✓Connected app data, workflow payloads, account metadata, and integration connection details may be sent through tool calls. | ✓Design contents, uploaded media, brand assets, templates, and Canva account metadata may be sent to the MCP client and model. | ✓Telegram API IDs, API hashes, session strings, account labels, chat titles, usernames, phone-adjacent identifiers, messages, media, contacts, group membership, profile photos, user status, read receipts, drafts, and folder metadata can be exposed to the MCP client. Chat history and media can contain private conversations, personal data, business records, access links, invite links, documents, photos, voice notes, stickers, GIFs, and user-controlled prompt-injection text. The project includes output sanitization for user-controlled content, but sanitized Telegram content should still be treated as untrusted model input. Store session strings like passwords, keep them out of shell history and shared logs, and revoke sessions if they are exposed. Review MCP transcripts, downloaded media folders, Telegram session files, and proxy logs before sharing or retaining them. | ✓Connected app data, workflow payloads, account metadata, and action inputs or outputs may be sent through model context. |
| Prerequisites |
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| Config | | | | |
| Citations | ||||
| Claim | Unclaimed | Unclaimed | Unclaimed | Unclaimed |
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