Securely connect AIto production data.
A platform to power your agents, chat and AI apps connected to any data source. Powered by MCP.
Powering AI experiences for
Great AI experiences start with great agent tools
A platform for building, deploying, and running MCP-based tools & applications.
Ready to go chat embed
With an easy to use component library
PLATFORM
Your Data
APIs
Databases
Data warehouses
Your SaaS
Your AI Clients
Your Agents
Chat Elements
Drop-in AI chat components
Production-ready React components that connect your users to your AI agents. Customize the UI, connect to MCP, bring your own backend, or use Gram Cloud.
Platform
Your AI toolkit,
secure & scalable
Ship better AI experiences with production-ready MCP infrastructure.
Turn any source into a tool
Create MCP tools from your APIs, databases, warehoueses and SaaS tools.
Test and refine in the AI playground
Test & refine tools against popular models in our ready-to-use playground. Performant streaming and tool use ready to go.
Works with all MCP clients
Universal support across popular clients.
Serverless by design
Scale from zero to millions of requests with sub-second latency. Built to scale for all your team's tool needs.
Built for token efficiency
100x more efficient with dynamic toolsets. Built to work with large scale APIs and datasets
OAuth handled for you
Authentication works out of the box: auth flows, token refreshes & DCR all handled.
Build tools
Write agent tools,not protocol code
Meet Gram: a simple TypeScript framework for designing MCP-compatible agent tools.
Generate from OpenAPI
Upload OpenAPI specs and instantly generate complete toolsets. Reduce 600-endpoint APIs down to 5-30 focused, curated tools. Perfect for existing APIs that need AI-ready interfaces.
Import existing MCP
Upload your existing TypeScript server and migrate to Gram in minutes. Keep building your MCP code — Gram handles the infrastructure.
Whatever AI stack you run, run it on Gram.
Tool curation
Build once, deploy endlessly
Create agentic tools that can be reused across different projects and teams.
1
Curate focused toolsets
Reduce overwhelming APIs down to essential tools. Generate from OpenAPI, write custom code with Gram Functions, or combine both. Create purpose-built collections for specific workflows.
2
Build custom tools
Go beyond basic API endpoints. Chain multiple operations together, add business logic, and create workflow-based tools that represent complete use cases. Build exactly what your AI agents need.
3
Iterate in the playground
Test how AI agents interact with your tools in real-time. Refine prompts, validate behavior, and ensure tools work as expected before deployment. Ship with confidence.
Polar used Gram to turn their payments API into a production MCP server in under a week. With AI-assisted onboarding, natural language analytics, and automated merchant operations, their agents now handle complex payment flows through simple instructions. Gram’s managed infrastructure lets the team focus on product logic while MCP stays fully up to date.