AI & Integrations (MCP Builder)
The MeraUdyog MCP Builder lets you expose your own business data and actions as a Model Context Protocol server, so AI assistants such as Claude, ChatGPT and Cursor can query and act on your leads, employees, calls, attendance and invoices in natural language. With no custom integration project.
Why it matters
This is where MeraUdyog is ahead of every named competitor. Most category leaders are only beginning to open up to agentic AI access. Here it ships today, alongside AI call summarization and tiered call recording storage plans.
Because AI & Integrations (MCP Builder) shares one data core with every other module, the work it produces is immediately usable everywhere else: scoped by branch, center and owner, visible in Analytics, and available to Workflow Automation as a trigger.
> Which telecallers are below target on meaningful calls this week?
meraudyog.get_call_analytics(period="WTD", metric="meaningful_calls", group_by="owner")
Owner Dials Connected Meaningful Rate
Farah Qureshi 412 281 198 48% above target
Rahul Menon 388 264 171 44% above target
Aditi Sharma 451 196 62 14% below target
Nikhil Jain 204 88 41 20% below target
Pattern: Aditi has the highest dial count and the lowest
meaningful rate: high volume, low depth. Average duration
is 38s against a team median of 4m 12s.
> Summarise her three longest calls yesterday
meraudyog.get_call_summaries(owner="Aditi Sharma", date="yesterday", limit=3)
1. Fee structure query: asked for EMI options, no follow-up set
2. Course comparison: competitor pricing raised, unresolved
3. Callback request: parent wanted evening slot, not scheduled
Everything in AI & Integrations (MCP Builder), by sub-category.
AI assistant connectivity
AI call intelligence
AI insight
What each capability does. And the problem it removes.
Features are only worth listing if the business problem behind them is named.
| Feature | What it does | Problem solved | Business benefit |
|---|---|---|---|
| MCP Builder | Exposes your MeraUdyog data and actions as an MCP server | AI assistants cannot see or act on business data without custom integration work | Any AI assistant becomes a live interface to the business |
| Connect Claude / ChatGPT / Cursor | Connects MeraUdyog to leading AI chat and coding assistants | Getting an answer means logging in and navigating dashboards | Business questions answered conversationally, in tools staff already use |
| Natural-Language Data Queries | Plain-English questions against CRM, HR and Finance data | Non-technical users cannot write their own reports or filters | Data access democratised beyond dashboard-literate users |
| AI Call Summarization | Auto-generates a text summary of every recorded call | Managers cannot listen to every call to know what was said | Fifty calls reviewed in the time it took to hear three |
| Call Recording Storage Plans | Tiered storage and retention for call logs and recordings | Recordings pile up with no scalable retention model | Storage cost right-sized to call volume and compliance need |
| Lead Scoring | Ranks leads by engagement and fit signals | Reps waste time on low-intent leads | Prioritised outreach and higher conversion |
| AI-Driven Insights | Surfaces patterns and anomalies automatically | Manual analysis misses subtle trends | An unusual drop in connection rate flagged before it costs a month |
Founder / Ops Manager
Wants answers from the business without becoming fluent in its dashboards.
- Pain today
- Every question requires a login, a filter and a report someone has to build.
- What they want
- Ask a question in plain English and get an answer from live data.
- Features that deliver it
- MCP Builder, AI Assistant Connectivity, Natural-Language Queries
- Business value
- Business data accessible from the tools the team already uses, all day.
Use cases
Three ways teams put AI & Integrations (MCP Builder) to work in week one.
Ask ChatGPT which branch is behind on collections
The assistant queries live receivables through MCP and returns the outlier branch with its aging profile: no dashboard navigation, no export.
Review fifty sales calls in the time it takes to hear three
AI call summarization turns each recording into a scannable summary, which is what makes call QA viable at telecalling volumes.
Surface this week's uncontacted leads conversationally
“Show me this week's uncontacted leads in Nagpur” is answered directly by the connected assistant, including SLA breach counts.
Industries where AI & Integrations (MCP Builder) carries the most weight.
AI & Integrations (MCP Builder) FAQs
MCP stands for Model Context Protocol. An open standard for connecting AI assistants to external data and tools. MeraUdyog's MCP Builder lets an admin expose selected MeraUdyog data and actions (leads, employees, calls, attendance, invoices) as an MCP server, typically in an afternoon rather than a development project. Any MCP-compatible assistant can then read from and act on that data in natural language.
You build an MCP endpoint in the MCP Builder, choosing which objects and actions to expose, then add that endpoint to your assistant's MCP configuration. From there the assistant can answer questions such as “which branch is behind on collections this month?” or “show me this week's uncontacted leads” against live data. No bespoke connector and no intermediary integration platform is required.
Yes. AI Call Summarization generates a text summary of each recorded call automatically, so a manager can scan the substance of fifty calls in the time it would take to listen to three. Recordings themselves are retained under tiered call recording storage plans, priced by retention period and call volume.
Role-based access control, permission management and field-level rules govern the platform today. Extending that model into scoped, role-and-branch-aware permissions for each connected AI assistant is an explicit near-term roadmap priority: we treat it as a requirement of widening the external data-access surface, not an afterthought. Discuss your specific governance requirements with our team during evaluation.
Start with AI & Integrations (MCP Builder). Add the rest when you are ready.
Same data core, no migration, no implementation partner. Most teams are live within days.
No credit card required · Live in days, not months · 10,000+ leads processed monthly