Pensero MCP — Your engineering intelligence, now queryable [Let's talk](../book-demo) [Login](/auth/login/) [Login](/auth/login/) [Let's talk](../book-demo) [Login](/auth/login/) Pensero MCP # Engineering intelligence, now queryable. # Engineering intelligence, now queryable. # Engineering intelligence, now queryable. Query your live Pensero data straight from Claude, ChatGPT or any MCP-compatible assistant. Ask about delivery, quality, AI adoption or benchmarks in plain language. [Request access](../book-demo) Pensero MCPconnected Pensero MCPconnected Claude Works with the assistants your team already uses ![](/framerusercontent/images/5m8ckuvEKmg2NWDQwUs742S4E.png?width=374&height=80) ![](/framerusercontent/images/CzxwLhUIfswWqpD0y4os2DtseXs.png?width=523&height=66) ## Ask it the way you’d ask your best analyst Plain questions in, answers grounded in your own data out — then keep pulling the thread with follow-ups. How did engineering perform this quarter? Where is AI creating measurable impact? Which teams are improving fastest? What should I highlight in my board update? How do we compare against benchmark companies? Which engineering investments are delivering the highest ROI? ## Why Pensero MCP Four things that separate an answer from Pensero MCP from an answer a general-purpose assistant guesses at. 01 — Source of truth ### Built on your engineering source of truth Every answer is generated from your live Pensero data — the same unified model behind your dashboards. No exports, no stale spreadsheets, no numbers that disagree with the ones your team already reviewed. Live data One unified model No exports Total delivery Points delivered 3.3kpts 10% Weekly delivery Per active contributor 62.5pts 2% AI LOC % Merged code, AI-assisted 98% 15% Cost per point AI spend per point $0.94 12% Defect rate Delivery spent on bugs 10% 70% Scope of work Aligned to roadmap 20% 104% Review ratio Reviewing vs creating 17% 7% Cycle time (P90) Assignment to merge 212.0hrs 41% Total delivery Points delivered 3.3kpts 10% Weekly delivery Per active contributor 62.5pts 2% AI LOC % Merged code, AI-assisted 98% 15% Cost per point AI spend per point $0.94 12% Defect rate Delivery spent on bugs 10% 70% Scope of work Aligned to roadmap 20% 104% Review ratio Reviewing vs creating 17% 7% Cycle time (P90) Assignment to merge 212.0hrs 41% Pensero MCP Live connection to Claude connected Total delivery Points delivered 3.3kpts 10% Weekly delivery Per active contributor 62.5pts 2% AI LOC % Merged code, AI-assisted 98% 15% Cost per point AI spend per point $0.94 12% Defect rate Delivery spent on bugs 10% 70% Scope of work Aligned to roadmap 20% 104% Review ratio Reviewing vs creating 17% 7% Cycle time (P90) Assignment to merge 212.0hrs 41% Total delivery Points delivered 3.3kpts 10% Weekly delivery Per active contributor 62.5pts 2% AI LOC % Merged code, AI-assisted 98% 15% Cost per point AI spend per point $0.94 12% Defect rate Delivery spent on bugs 10% 70% Scope of work Aligned to roadmap 20% 104% Review ratio Reviewing vs creating 17% 7% Cycle time (P90) Assignment to merge 212.0hrs 41% Pensero MCP Live connection to Claude connected Show me our delivery distribution, how has it shifted? Building the distribution The whole curve moved right and spread barely changed — so this isn't a few people pulling the team up. Jan – Feb · mean 244Jun – Jul · mean 312 0200400600 Delivery points per person, monthly Mean244 → 312 Change+28% Spreadflat The whole curve moved right and spread barely changed — so this isn't a few people pulling the team up. Jan – Feb · mean 244Jun – Jul · mean 312 0200400600 Delivery points per person, monthly Mean244 → 312 Change+28% Spreadflat Who moved the most? Ranking by delta Biggest movers since January Ava ChenL3 +112 pts Sam TorresL2 +94 pts Jamie NakamuraL2 +71 pts Biggest movers since January Ava ChenL3 +112 pts Sam TorresL2 +94 pts Jamie NakamuraL2 +71 pts Show me our delivery distribution, how has it shifted? Building the distribution The whole curve moved right and spread barely changed — so this isn't a few people pulling the team up. Jan – Feb · mean 244Jun – Jul · mean 312 0200400600 Delivery points per person, monthly Mean244 → 312 Change+28% Spreadflat The whole curve moved right and spread barely changed — so this isn't a few people pulling the team up. Jan – Feb · mean 244Jun – Jul · mean 312 0200400600 Delivery points per person, monthly Mean244 → 312 Change+28% Spreadflat Who moved the most? Ranking by delta Biggest movers since January Ava ChenL3 +112 pts Sam TorresL2 +94 pts Jamie NakamuraL2 +71 pts Biggest movers since January Ava ChenL3 +112 pts Sam TorresL2 +94 pts Jamie NakamuraL2 +71 pts 02 — Conversation ### Natural conversations, not report requests Start broad, then drill in. Ask why a number moved, which team it came from and what changed since last month — without leaving the assistant you already have open. Follow-up questions Anomaly investigation Trend exploration 03 — Compatibility ### Works with the tools you already run Pensero exposes a standard MCP server, so it connects to Claude, ChatGPT and any MCP-enabled assistant. Nothing new for your team to learn, no extra tab to keep open. Claude ChatGPT Any MCP client 04 — Security ### Enterprise-ready by default MCP uses your existing Pensero authentication and permissions. Every request is scoped to the person asking, so nobody can reach data they couldn’t already see in Pensero. Existing authentication Permission-scoped No new access surface ## Questions teams ask about MCP How do we get Pensero MCP enabled? Which assistants does it work with? Who can see what? Is the data live? ## More on Pensero's platform ## More on Pensero's platform [Delivery Intelligence See how work actually moves across teams and tools.](./delivery-intelligence) [Delivery Intelligence See how work actually moves across teams and tools.](./delivery-intelligence) [Code Quality Track maintainability, defects, and rework over time.](./code-quality) [Code Quality Track maintainability, defects, and rework over time.](./code-quality) [Talent & Benchmarking Benchmark and calibrate engineering performance fairly.](./talent-benchmarking) [Financial Reporting Turn engineering activity into R&D and capitalization reporting.](./capex-analysis) Available on request Available on request # Stop pulling reports. Just ask. # Stop pulling reports. Just ask. # Stop pulling reports. Just ask. Pensero MCP is enabled per organization. Talk to us and we’ll set it up with your team. Pensero MCP is enabled per organization. Talk to us and we’ll set it up with your team. 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