Salesforce MCP
Give AI agents safe, governed hands inside your Salesforce org
A Model Context Protocol integration lets autonomous AI agents read and write Salesforce data through a governed interface instead of brittle scripts. Agents can query records with SOQL, create and update objects, advance opportunities, log activities, and trigger Flows — all inside your permission model. EGGKNITE builds these connections so agents act with full account context and a clear audit trail.
Run SOQL queries and pull accounts, contacts, opportunities, cases, and campaign data with related-record context.
Insert and edit leads, opportunities, tasks, and custom objects, respecting validation rules and field-level security.
Move opportunity stages, reassign owners, and convert qualified leads based on defined criteria.
Invoke Flows and Apex actions, log calls and emails, and post Chatter updates as an audit trail of agent activity.
An agent enriches inbound leads, scores fit, drafts follow-up, and either routes to a rep or nurtures — updating Salesforce fields and logging every action.
A scheduled agent flags stale opportunities, fills missing close dates and amounts, and nudges owners so forecasts stay clean without manual audits.
An agent reads open cases plus account history, categorizes and prioritizes them, drafts responses, and escalates the ones that need a human.
Agents operate through a scoped integration user with least-privilege permission sets, so field-level security and validation rules still apply. Every write is logged for a full audit trail, and we gate sensitive actions behind approval steps.
Yes. With the right permissions, agents create and update records, advance opportunities, log activities, and trigger Flows — bounded by the guardrails we configure.
No. It removes the repetitive data work — enrichment, hygiene, triage — so admins and reps focus on strategy and relationships while the CRM stays current.
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