What happens when AI agents can actually work with agreements?
The developer community is already finding out with the @Docusign MCP Server, building agents that manage agreements, catch renewal risk, respond to regulatory change and more.
The MCP Server gives AI agents ready-to-use tools to understand and act on agreements, making it easier to build agentic workflows without building custom integrations from the ground up.
The Docusign MCP Server is currently in Open Beta. General Availability (GA) will be coming September 30 bringing production-ready availability, secure OAuth, cross-client portability, and Docusign-native permissions and governance.
@leonvz built an AI-powered Agreement Agent using the Claude Agent SDK + Docusign MCP Server. See what else the community is building. πhttps://t.co/EXvUzaU1Mo
Build more flexible agreement workflows by programmatically updating agreement classifications.
Video 3 in our Agreement Manager API series walks through how to retrieve agreement records, fetch available types with GET /agreement-types, update an agreement with a PATCH request, and verify the change using Postman.
π₯ Watch the full walk through and continue building along in the series. https://t.co/yiXhyut5ek
Build an AI-powered HR onboarding agent without rebuilding existing workflows from scratch.
See how Microsoft Copilot Studio and Docusign MCP Server work together to trigger onboarding workflows, collect employee inputs conversationally, and add human approval.
π Try the hands-on mission and earn a badge. https://t.co/TTlY6N1zna
Docusign API or MCP Server? The right choice depends on how you need to work with agreement data.
Contracts can describe the same concept in different ways, making keyword-based searches unreliable across large repositories.
See how the Docusign Agreement Manager API and MCP Server help you retrieve, filter, and query AI-extracted agreement data, with examples of when each approach makes sense for your specific task. https://t.co/QrJXdHy0xJ
Move agreements into your workflow with programmatic bulk uploads.
Video 2 in our Agreement Manager API series walks through the full bulk upload workflow in Postman, from creating a job and generating presigned Azure Blob Storage URLs to uploading documents and verifying the results.
π₯ Watch Video 2 and continue building along in the series. https://t.co/mitAZMtkHa
Repetitive code changes take time. But how do you build an AI agent that can handle them reliably?
The Docusign engineering team built an internal autonomous coding agent that turns Jira and Slack requests into coding tasks, routes work to different models, modifies code and UI, runs tests, and iterates on feedback before creating a PR for human review.
πΉ See the agent in action. https://t.co/kUHSVZShi6
Build workflows to find, update, and manage agreements programmatically.
Our new video series walks through the Agreement Manager API with step-by-step Postman examples.
Start with Video 1: set up OAuth 2.0, generate an access token, and make your first GET /agreements request.
Then dive into bulk uploads, agreement types, and OData filters.
π₯ Watch the full video and build along. https://t.co/DHm56EM0Dl
Huge thanks to everyone who joined us at #AgentCon Bengaluru & Chennai this past weekend! π
We dug into what it takes to move AI beyond the demo:
π Making MCP reliable & safe in production
π€ Building an autonomous coding agent for repetitive engineering work
The common thread? Building the guardrails, evals & feedback loops that make AI reliable in real workflows.
Thanks to @GlobAICommunity for bringing us together!
Building with AI? Keep the conversation going in the community. Ask questions, share your builds, and connect with other developers tackling similar challenges.
https://t.co/sSYGBUu2M3
Getting an agreement signed is often just one step in a larger workflow.
With the Workflow Builder API, you can build branching, end-to-end workflows that connect Docusign functionality with your existing systems and third-party platforms.
Collect data β verify identity β get a signature β update your system of record β trigger follow-up actions.
π Learn more. https://t.co/eKsFqahHdJ
API or MCP? π€ It depends on what youβre building.
Need to repeatedly pull structured agreement data at scale? The Agreement Manager API gives you programmatic access.
Building an agent that needs to answer dynamic questions about agreements? The Docusign MCP Server can give it a more natural way to interact with that data.
Check out the full demo to see both approaches in action, and where each one makes sense for your project. https://t.co/vs8rastETL
I built an AI agent on @DocusignDevs' IAM platform that catches signed contracts before they quietly auto-renew.
It found a live example: a $125K agreement with 15 days left to cancel.
Two Mastra agents read the agreement data over Docusign MCP, a deterministic policy engine classifies the risk (not a prompt), and nothing hits Docusign Workflow Builder without a human approving it first.
Extracting data from agreements shouldnβt mean rebuilding your setup for production.
Configure β test β measure β refine β retest β deploy
See how Agreement Manager + the Docusign CLI let developers define configuration as code, validate accuracy against real agreements, and deploy the same tested setup to production. https://t.co/vXwmfAGHdQ
A new regulation takes effect in 6 weeks. Legal ops and engineering teams need to find which agreements are affected and what needs to change.
What if an agent could handle the legwork? π
Rick Hightower shows how to build a human-in-the-loop regulatory-change agent with the Docusign MCP Server + Claude Cowork. No custom code required.
- Find affected agreements
- Analyze terms
- Get human approval
- Trigger amendments
π Learn how to build it. https://t.co/a9YfUToICJ
At the latest Agent Experience Demo Night in San Francisco, the community got a behind-the-scenes look at what it takes to configure, test, and deploy agreement intelligence tailored to your business.
Our team demonstrated the Docusign CLI and showed how developers can bring business context into Agreement Manager, train its models on that context, test the results, and move validated configurations into production.
Interested in learning more? Check out the technical guide. https://t.co/gBLeOGh9g8
Huge thanks to everyone who joined us, asked questions, and shared their perspectives. And thanks to Lightsage and AWS for bringing the community together. π
What happens when AI agents can actually work with agreements?
The developer community is already finding out with the @Docusign MCP Server, building agents that manage agreements, catch renewal risk, respond to regulatory change and more.
The MCP Server gives AI agents ready-to-use tools to understand and act on agreements, making it easier to build agentic workflows without building custom integrations from the ground up.
The Docusign MCP Server is currently in Open Beta. General Availability (GA) will be coming September 30 bringing production-ready availability, secure OAuth, cross-client portability, and Docusign-native permissions and governance.
@leonvz built an AI-powered Agreement Agent using the Claude Agent SDK + Docusign MCP Server. See what else the community is building. πhttps://t.co/EXvUzaU1Mo
If your app needs to know which agreements are expiring, who the parties are, or what type of agreement youβre dealing with, you shouldnβt have to manually inspect thousands of documents.
The Agreement Manager API lets you programmatically access AI-extracted agreement data as JSON so you can retrieve, filter, and work with agreements at scale.
Building an agentic solution? The Docusign MCP server gives LLMs access to that same data, so you can ask questions like: βWhich agreements are expiring soon?β
Watch the full overview to learn more. https://t.co/Q6sT3S0D1y