New Features
MCP Integration
Connect AI assistants like Claude Desktop and ChatGPT to Rembrandt via the Model Context Protocol (MCP). Ask questions about your prospects, buying signals, and opportunities directly in AI conversations.
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Query prospects and companies with natural language
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Get signal intelligence and conviction scores
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Generate outreach content based on detected signals
Quick start: See the MCP Integration Guide for setup instructions.
REST API v2 — Restructured Endpoints
The REST API has been significantly expanded and restructured. Six new endpoints and improved response formats make it easier to build custom integrations.
New endpoints:
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Companies —
GET /v1/companiesandGET /v1/companies/:id -
Solutions —
GET /v1/solutionsandGET /v1/solutions/:id -
Opportunities —
GET /v1/opportunitiesandGET /v1/opportunities/:id
Improvements:
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All list endpoints now include pagination metadata
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Prospect responses include open opportunities with conviction scores
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Signal filters available directly on the prospects list endpoint
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Proper 404 responses for non-existent resources
Breaking changes: Prospect endpoints have been restructured. See the API Changelog for migration details.
Qualification Pipeline
A multi-stage review pipeline for qualifying high-conviction opportunities. Configure stages, assign reviewers by sales role and territory, and track progress through your qualification workflow.
See the Qualification Pipeline Guide for details.
Execution Planning
AI-powered outreach campaign creation for qualified opportunities. Generate multi-step execution plans with personalized copy drafts, personas, and timelines.
See the Execution Planning Guide for details.
Improvements
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Conviction scores (1-5 scale) replace legacy scoring across the platform
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Improved dashboard with conviction distribution and solution performance views
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Enhanced prospect detail pages with signal timeline
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Organization settings expanded with API Tokens, Qualification, and Sales Roles
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Bulk member invite via CSV