Agents search documents semantically and get grounded answers with citations — the same retrieval as Tensor Bot, scoped to a defined knowledge space.
Your AI agents, grounded in clean knowledge
TensorLot is an MCP server. Connect Copilot Studio, Claude, or any agent framework to your curated SharePoint knowledge — governed, permission-aware, and audit-logged.
MCP (Model Context Protocol) is the open standard that lets an AI agent call external tools — one plug, any agent.
- Interface
- MCP / REST
- Endpoint
- 1 · one key
- Tools
- 11 · default-deny
- Token usage
- −70%
- Calls logged
- 100%
You've seen what happens when Copilot answers from five conflicting versions of the same procedure. Connecting agents directly to raw SharePoint doesn't fix data quality — it scales the problem. TensorLot sits in between: agents query the cleaned, deduplicated, contradiction-checked knowledge layer instead of the raw file share.
- 5 versionsof the same procedure
- Duplicatesin forgotten sites
- 2019 copiesstill ranking first
- Dead linksto retired systems
- Deduplicated
- Contradiction-checked
- Scoped per agent
- Cited answers
- Copilot StudioMicrosoft
- ClaudeAnthropic
- Custom frameworksLangGraph, Cursor, …
Every tool is scoped to a defined knowledge space and switched on per agent — default-deny.
Agents query quality findings — duplicates, contradictions, outdated content — and report them where your teams work: Teams, Slack, ticketing.
Agents set document statuses and trigger governed actions — archive, resolve — every step audit-logged. TensorLot never writes to SharePoint itself; the agent acts with the user’s rights.
Define once what “archive” means per URL prefix, library, site or tenant — most specific wins. Agents follow your rules instead of improvising.

Enable only the tools this agent may call — search_documents, ask, list_findings, set_document_action …

Runs over the real MCP endpoint — this run sees 59,059 documents, 2 of 5 actions allowed.

URL prefix › Library › Site › Tenant default — the agent gets the rule, SharePoint stays untouched.
Every agent is bound to a defined scope and an accountable owner — an agent never sees more than the human behind it.
- Bound scope: sites, libraries or topics — nothing else
- Accountable owner per agent, visible on every call
- Keys expire; revoke access in one click
- Every call logged with agent, tenant and tool
- Dry-run first — actions are explicit, never implied
- okask
- oksearch_documents
- oklist_findings
- dry-runset_document_action
- deniedget_document
Every call with agent, tenant and tool — denied calls included.
A procurement agent in Copilot Studio asks TensorLot. It gets the answer with citations from the current, deduplicated supplier documents — not from the 2019 copy in a forgotten site. 10 seconds instead of a morning of searching.
- Sources
- 3 current contracts
- Excluded
- 2019 duplicate
- Tool calls
- 3
- Time
- 10 s
−70% observed in TensorLot pilot deployments, 2026 — curated context instead of raw document dumps.
See your own SharePoint answered through MCP — scoped, cited and logged — in a 30-minute demo.