Nobody fully knows how your Salesforce works · what fields mean, which automations fire, why the pipeline number moved. Connect it and Own your context writes it down: schema, semantics, rules, working examples · documentation you can check, then act on.
Nobody fully knows how your Salesforce works · what fields mean, which automations fire, why the pipeline number moved. Connect it and the documentation writes itself, maintained rather than tribal.
Schema, rules, and definitions resolved here
Salesforcesales_read
Snowflakeanalytics_ro
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Jiraissues_readSalesforce, the warehouse, tickets and billing are connected once and scoped per user and agent · no copies, no pipelines, and no credentials in model context.
Secure connections# The agent reads the wiki before it queries.▸ wiki Opportunity · schema + meaning▸ wiki rules · what "qualified" means here▸ wiki examples · joins that ran clean$ mp.run("slipped_deals.sql")# Starts from proof · not from guesses.▍
When agents act on the data · hygiene fixes, governed queries, analytics · the work happens in a workspace with scoped access, so cleanup is checked against documented rules rather than somebody's memory.
Governed workspaceCompiled by an agent · corrections kept as revisions
The same pages your team reads become what every agent reads before it acts, and every action it takes is logged · so delegating work does not mean losing the thread.
Trust and governanceThe sequence only works in that order · and it starts with documentation you didn't have to write.
Connect Salesforce · get a browsable wiki of objects, automations, and your actual sales motion.
Fix hygiene against documented rules · “hey agent, clean this up” with the wiki as ground truth.
Agents read the same wiki · governed queries and analytics that land right the first time.
195 flows, triggers and validation rules come back as a browsable atlas, so the team can finally see which automation moved the pipeline number.
"Hey agent, clean this up" works because the wiki says what the rules actually are. Hygiene fixes are checked against documented logic, not against recollection.
Agents read the same pages the team does before touching the source, so governed queries and analytics come back right the first time instead of after three corrections.
An agent does. Connect a source and it crawls schema, automations, flows and validation rules into readable pages. When the source changes the wiki updates diff by diff · nobody is assigned to keep the docs up to date.
Yes. The pages are plain, versioned and diffable · read it like documentation, correct it like a doc, review changes like code. Your corrections are kept and compound.
Yes. Any system set up in LiveConnect gets the same treatment. Salesforce is the deepest example today, with the same approach applying across databases, warehouses and other SaaS systems.
Same data gateway, same governance model. What changes is who is driving and where the work is written.
A knowledge map per connection: schema, business rules, and joins that already worked.
Read the Adaptive Context pageLiveConnect100+ live enterprise systems behind the same six verbs, scoped per user and agent.
Read the LiveConnect pageAgent ConsoleProvision access, review what agents did, and hold the controls in one place.
Read the Agent Console pageOne MCPOne governed tool surface that Claude, ChatGPT, Cursor, and Copilot can use.
Read the One MCP page
Connect a source and get back a wiki of it · objects, automations, the sales motion as it really runs. The fastest way to see what your agents have been missing.
