MCP helps your agents take smarter actions by giving them direct access to the data that matters most — from GitHub, LinkedIn, and beyond.
Model Context Protocol (MCP) acts as the universal connector that helps your AI agents understand the world around them.
By connecting to real-time data sources like GitHub and LinkedIn, MCP gives your agents the context they need to work smarter, reason better, and take precise actions without hallucinations.
Powerful integrations that transform how you work with the tools you already use.
Agents analyze PRs for patterns, security issues, and style consistency. Flag complex changes for human review.
Automatically triage, label, and assign issues based on content analysis and team availability.
Generate concise summaries of changes, impact analysis, and deployment notes for stakeholders.
Track build failures, deployment status, and performance regressions with intelligent alerting.

API-first design meets intelligent automation. Build, deploy, and orchestrate context-aware agents that integrate with your existing tools and workflows.
Connect Shambho to any system using RESTful APIs and webhooks. Easily integrate APIs as tools for enhanced functionality. No vendor lock-in.
Build specialized agents with our SDKs. Extend with custom tools, integrations, and select any pre-linked LLM for optimal performance.
Chain agents with conditional logic and error handling. Seamlessly incorporate pre-linked LLMs and API tools in your workflows.
API Endpoints
Uptime SLA
Need help integrating? Our engineering team provides dedicated support for enterprise customers.
Getting started with your AI workforce is incredibly simple. No complex setup, no technical expertise required.
Link GitHub, LinkedIn, or other platforms to MCP.
Next step →
Set up what actions your agents should take.
Your agents work with real-time data.
Everything you need to know about our service, all in one place.
MCP (Model Context Protocol) is SimplAgent system for connecting AI agents to live data sources (like GitHub/LinkedIn). It gives agents real-time context to automate tasks accurately.
Connect via RESTful APIs or webhooks. MCP syncs data in real time—no batch processing. Your agents always use the latest info.
Yes. Use our API docs to create agents for any tool or workflow. Deploy them alongside pre-built agents (e.g., GitHub/LinkedIn).
Not always. We offer pre-built integrations like our GitHub and LinkedIn MCPs that can be configured for common workflows without writing code. However, the full power of MCP is realized by developers who use our API to build completely custom agents and orchestrate complex, multi-system automations.
Pricing depends on usage volume and integrations. We offer developer-friendly tiers starting with generous free limits for testing and small projects. Contact our team for enterprise pricing that scales with your automation needs.
Absolutely. Sign up for free access to test GitHub MCP and LinkedIn MCP with your own data. No credit card required. You'll get full functionality with usage limits that reset monthly.
Stop letting your AI agents work blind. Give them the data they need to deliver results that matter.
5 min Average setup time|Free No credit card required|24/7 Support included
Start with our free tier. Upgrade or cancel anytime.