Review PR Data Impact Directly from Your Editor with 8 New MCP Tools

Service	Purpose
Bootstrap	UI framework for page layout and navigation
Cal.com	Meeting booking widget
Consent cookie	Stores your cookie preferences (recce_consent, 13 months)

Service	Cookies	Duration	Data Collected
Google Tag Manager	_ga, _ga_*, _gid	Up to 2 years	Page views, traffic sources, anonymized IP
PostHog	ph_*, distinct_id	1 year	Page views, feature usage, session recordings
Vector	vector_*	1 year	Visitor identification, page views

Service	Cookies	Duration	Data Collected
HubSpot Tracker	__hssc, __hssrc, __hstc, hubspotutk	Up to 13 months	Page views, session data, visitor identity
HubSpot Forms	__hs*, hubspotutk	Up to 13 months	Form submissions, contact information

Review PR Data Impact Directly from Your Editor

AI agent running value_diff and histogram_diff via MCP in an editor

Running data diffs meant switching between Recce and your editor, copying model names, and pasting results back. With eight new MCP tools, AI agents can now access every evidence-gathering feature directly.

The new tools include value_diff for row-level comparisons, top_k_diff for categorical distributions, histogram_diff for numeric distributions, and get_cll for column-level lineage. Combined with the existing tools, agents now have 16 MCP tools to review data impact without leaving your workflow.

See details here

AI Summary Without a Warehouse Connection

Agent generates summary results for a user without warehouse connection

Users without a connected warehouse could not get AI-generated summaries of their PR impact. The summary feature required live data access, which blocked adoption for teams still setting up their environment.

Recce now generates AI summaries based on available metadata even when no warehouse is connected. Teams evaluating Recce Cloud see value immediately, and the summary explains what additional insights a warehouse connection would unlock.

Agent Asks for Help When Stuck

Agent detects it cannot make progress and offers to escalate

During onboarding, the web agent sometimes hit edge cases it could not resolve on its own. Users had no clear path to get help, and the team had no signal about which scenarios needed improvement.

The agent now detects when it cannot make progress and offers to escalate. Users get a direct path to support, and the team collects structured feedback on which onboarding scenarios need attention.

Python 3.9 Deprecation

Python 3.9 reached end-of-life in October 2025, and Recce will drop support in a future release. Upgrade to Python 3.10 or later to avoid interruptions.