RESPONSIVE MCP SERVER

Make every AI assistant a place for response work you can trust

Connect ChatGPT, Claude, and Microsoft Copilot to approved knowledge and live project context through the Responsive MCP Server. Teams can move response workflows forward in the AI assistants they already use to draft and review faster.

Work two ways between your
AI assistant and Responsive

The Responsive MCP Server brings approved knowledge into AI conversations so proposal teams and SMEs can move response work forward faster in their preferred AI assistant. Draft and save responses to project questions, add comments, complete reviews, and take supported actions, while Responsive remains the system of record.

Responsive on ChatGPT, Claude, Microsoft Copilot:

• Brings trusted, approved knowledge directly into AI conversations

• Grounds outputs in real company data, not generic training data

• Enables teams to move faster while keeping compliance and messaging standards

• Turns AI assistants into reliable, enterprise-ready solutions

Responsive MCP server integration

Keep response projects moving from any AI assistant

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Proposal managers see what needs attention

Create and monitor response projects, spot unanswered or unreviewed questions, and coordinate contributors across RFPs, proposals, DDQs, and security questionnaires to keep workflows moving in ChatGPT, Claude, and Microsoft Copilot.

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SMEs contribute where they already work

SMEs can join proposal workflows in the AI assistant they already use: review assigned questions, use approved supporting information, add their expertise to responses, and collaborate with proposal teams, without adding another system to manage.

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Content owners capture answers for future responses

When an answer is ready to reuse, save it to your Content Library from ChatGPT, Claude, or Microsoft Copilot, update its metadata, and route it through approval workflows so it can support the next response.

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Field teams find approved answers where they work

Use approved Responsive knowledge and supporting context in the AI assistants you already use to prepare for meetings, answer customer questions, and respond to requests.

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Customer-facing teams turn trusted knowledge into customer-ready work

Adapt approved knowledge in your AI assistant to create meeting briefs, follow-up emails, account summaries, presentation narratives, and customer responses. The source content stays in Responsive.

Bring Responsive into ChatGPT, Microsoft Copilot, and Claude

Every capability below works in all three. Available actions vary by AI environment and user permissions.

01

Use the Responsive MCP Server in your preferred AI tools

The Responsive MCP Server gives your team the same approved answers, live project context, and permissions in whichever AI assistant they prefer.

What teams can do in any supported LLM:

  • Retrieve approved, cited answers from the Content Library
  • Check project status, due dates, and open questions
  • Draft and refine responses to assigned questions
  • Add comments and complete reviews
  • Save new content back to Responsive for approval
02

Answer buyer questions with sources attached

  • Get approved answers to security, AI, and product questions, with citations back to the Responsive Content Library.
  • Respond the same day without waiting on an SME or digging through old proposals.
Responsive integration with ChatGPT
03

See where every response stands

  • Ask which projects you’re on, what’s due, and how many questions are still open, pulled live from Responsive.
  • Spot gaps early and bring in the right contributors before deadlines slip.
04

Draft high-stakes sections from approved content

  • Write and refine responses to assigned questions, grounded in approved Responsive content and project context.
  • Send finished work back to Responsive for review and reuse.

AI INTEGRATION

How should you deploy AI for response management?

Take a short 6-question quiz to see if you should build, buy, or build-with-Responsive for your AI use case: Do you want to draft, or do you want to win?

Unlocking knowledge to drive profitable growth

“For every $1 that Microsoft invests in my team, I estimate a return on investment of $746. In the last year, the team contributed $8.5B in revenue. We have seen really massive growth over the past few years and we couldn’t have done it without Responsive.”
Learn more about Carrie JordanCarrie Jordan, Global Director of Proposals at Microsoft
$17M
saved in response cost
21,100
hours saved in response time
Carrie Jordan, Microsoft
Carrie Jordan
Global Director of Proposals at Microsoft
“We were able to reduce the time maintaining our content library by 50% through the elimination of writing/editing tasks involved in each RFP response, and AI Assistant has contributed to our increasing win rate.”
Learn more about Autumn WennerAutumn Wenner, Senior Specialist RFx Enablement & Content at JAGGAER
15x
return on investment
50%
time reduction
Autumn Wenner, JAGGAER
Autumn Wenner
Senior Specialist RFx Enablement & Content at JAGGAER
“It could take five to 10 minutes to manually find something in the library or to take two things and merge them together. With AI Assistant, it is actually answering, on average, our questions in 30 seconds.”
Learn more about Andrew MersmanAndrew Mersman, Senior Director of Solution Consulting at Netsmart
67%
increase in proposals submitted
93%
RFP go-forward rate
Andrew Mersman, Netsmart
Andrew Mersman
Senior Director of Solution Consulting at Netsmart
“(Responsive) makes salespeople aware that not only do we have this great team working for them, but we have this great platform that can serve them in any part of their sales cycle. “
Learn more about Nick DemarcoNick Demarco, Sr. RFP Content Writer at Payscale
25%
reduction in response creation time
Nick DeMarco, Payscale
Nick Demarco
Sr. RFP Content Writer at Payscale

Keep trust and control connected to every action

Responsive connects AI assistants to approved knowledge, live project context, existing permissions, and review processes. Teams gain the speed and flexibility of their preferred LLM while maintaining the accountability, compliance, and content quality that customer-facing responses require.

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Ground AI assistants in approved knowledge

Connect ChatGPT, Claude, and Microsoft Copilot to approved knowledge and live project context so teams can work from dependable information as they draft and refine responses.

Preserve permissions and review processes

Keep AI assistants connected to existing permissions and structured review to help teams maintain accuracy and oversight as response workflows move forward.

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Keep response work connected to Responsive

Teams can draft and review in ChatGPT, Claude, and Microsoft Copilot, while Responsive remains the system of record for response projects and approved knowledge.

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Maintain accountability for customer-facing responses

Bring the speed and flexibility of ChatGPT, Claude, and Microsoft Copilot to customer-facing work while maintaining accountability, compliance, and content quality.