Every Monday, we pull back the curtain on what’s shipping in Workato Enterprise MCP.
This Week: HR Self-Service, Data Exploration, and Social Intelligence
Three new pre-built MCP servers are live today — Workday End User, Databricks Data Explorer, and Twitter/X Social Listening & Research. We now have 23 production-grade MCP servers available for Workato Enterprise MCP customers.
What’s New
Workday End User — 13 tools
Give employees a direct line to their own HR data — time off, payslips, org charts, expense reports, open positions, benefits, and learning courses — through natural language, without navigating Workday’s UI.
View Workday End User documentation →
Databricks Data Explorer — 9 tools
Let analysts explore Databricks catalogs, schemas, and tables, run queries, and check job status — all through conversation, without writing boilerplate SQL or opening the Databricks UI.
View Databricks Data Explorer documentation →
Twitter/X Social Listening & Research — 7 tools
Search tweets, pull full conversation threads, research user profiles, and batch-pull engagement metrics. Read-focused by design, built for teams that need social intelligence before they can act on it.
View Twitter/X Social Listening & Research documentation →
Why This Matters
This week’s three servers open up entirely different personas than anything that shipped before. HR employees who have never touched an enterprise integration tool now have an AI agent that understands their Workday data. Data analysts who’d never describe themselves as automation users can explore their entire Databricks environment in plain English. Social teams who live in real-time feeds get an agent that can keep up with the conversation.
The composability with what’s already in the catalog is what makes this immediately useful.
- Workday End User + Slack + ServiceNow — employees ask HR questions in Slack, agents answer from Workday data, and onboarding tickets are created in ServiceNow automatically. Day one for new hires, without manual coordination.
- Databricks + Slack + Google Drive — a sales leader asks about EMEA performance in Slack, the agent queries Databricks, formats the results into a readable summary, and posts back with a link to the report saved in Google Drive. No BI ticket, no waiting.
- Twitter/X + Salesforce + Slack — every morning, the agent searches for mentions of your top three competitors, pulls engagement metrics on their highest-performing posts, and drops a competitive intelligence digest into Slack before the marketing team’s first meeting.
Three servers. Three new enterprise use cases. All composable with the 20 servers already in production.
Real-World Use Cases
Workday End User: For Employees and HR Teams
- PTO management: “What’s my time-off balance? Submit two days off next Friday.”
- Payroll questions: “Pull my last three payslips and confirm my current salary level.”
- Org navigation: “Who are my skip-levels? Show me the org chart for the data engineering team.”
- Internal mobility: “Are there any open roles on the data engineering team? What do I need to apply?”
- New hire onboarding: “I’m starting today — show me my profile, my team, my learning courses, and my benefits enrollment deadline.”
Workday End User is scoped to employee self-service. It operates under Verified User Access — every action is taken under the authenticated employee’s own identity, not a shared service account. This is not an HRIS agent for HR operations teams. It’s an AI-powered self-service layer for individual employees.
Databricks Data Explorer: For Data and Analytics Teams
- Ad-hoc data exploration: “What tables are in the customer_analytics schema? Show me a sample from churn_predictions.”
- Schema validation: “What’s the data type for customer_id in the transactions table? Does it match what’s in orders?”
- Operational reporting: “Run the weekly revenue summary query and post the results to the analytics Slack channel.”
- Job monitoring: “Did the overnight ETL job run successfully? What time did it finish?”
- Data catalog documentation: “List all tables in the marketing schema and describe what each one contains.”
Databricks queries run asynchronously — execute_query submits the job, get_query_status polls for completion, and get_query_results retrieves the output. This three-step pattern handles long-running queries without timeouts, consistent with how Databricks’ native API handles batch execution.
Twitter/X Social Listening & Research: For Marketing and Intelligence Teams
- Brand monitoring: “What are people saying about Workato on Twitter this week? Any notable threads or complaints?”
- Competitive research: “What did Boomi post this week? Pull their top-performing tweets and show engagement metrics.”
- Influencer identification: “Who are the most active voices on Twitter talking about enterprise iPaaS? Pull their profiles.”
- Thread analysis: “Pull the full thread on this tweet — I want to see how the conversation developed.”
- Trend spotting: “Search for tweets about AI agents in enterprise since Monday. What are the recurring themes?”
The Twitter/X server is intentionally read-only. No posting, no liking, no direct messages. The design reflects how intelligence tools should work — observe first, act deliberately. For teams that want to close the loop and publish responses, that step belongs in a human review workflow, not the agent.
Real Customers Using our Pre-Built Enterprise MCP Servers
People.ai: 350+ recipes, now agent-ready
People.ai is a revenue intelligence platform running 200+ employees and a GTM operation built on 350+ Workato automation recipes. When AI became a strategic priority, they hit a wall that’s increasingly common: their agents couldn’t reach the systems those workflows already touched. Salesforce’s native MCP support wasn’t production-ready. Waiting wasn’t an option.
They deployed Workato’s Salesforce Sales Cloud Explorer MCP Server to give agents governed, scoped access to production CRM data — without pushing against LLM token limits on large datasets. They also wrapped Apollo.io through Workato Enterprise MCP, enabling agents to move between CRM and enrichment data in a single governed workflow without waiting for Apollo to ship native MCP support.
The 350+ automation recipes People.ai had already built didn’t become obsolete — they became Enterprise Skills that agents could invoke directly. The result: a 20% lift in open rates for AI-driven email workflows, and a clean answer to the question every automation-heavy company will eventually ask.
“MCP gives us a second wind for Workato — it opens up limitless possibilities for expansion through agentic AI.”
Read the full People.ai story →
What Makes These Enterprise-Ready
- Verified User Access: All three servers execute under the authenticated end-user’s identity. HR lookups are attributed to the requesting employee. Data queries run under the analyst’s Databricks permissions. Social queries execute under the authenticated Twitter/X account.
- Permission inheritance: Each server respects the native app’s access model. Workday End User surfaces only what the employee already has rights to see. Databricks respects catalog and schema-level access controls. Twitter/X operates within the authenticated account’s API tier.
- Read-first, confirm-before-write: Workday and Databricks support writes — time-off requests, query execution — but both operate under a confirm-before-write pattern. Twitter/X is fully read-only by design.
- Managed infrastructure: Workato hosts, scales, and maintains all three servers. No API keys to rotate, no API versions to track, no infrastructure to provision.
- Composable: All three servers chain naturally with the full pre-built MCP catalog — Slack, Salesforce, ServiceNow, Confluence, Jira, Gong, and more.
- Audit trails: Every tool call logged with full context — who, what, when, and what was returned.
Get Started
All three servers are available now for Workato customers with Enterprise MCP.
Install time: Minutes
Custom development: None
Deployment complexity: one-click activation
View Workday End User documentation →
View Databricks Data Explorer documentation →
View Twitter/X Social Listening & Research documentation →
The bottom line: Other vendors are still announcing MCP roadmaps. We’re shipping production-ready servers every Monday.
See you next Monday.