Introducing Gram
Your fast path to production MCP
The MCP cloud — Create, host and scale MCP servers without the hassle.
Trusted by teams building agents
MCP Cloud
Create, host & scale MCP without the hassle
Ship better agents with production-ready MCP infrastructure.
Serverless scale
Scale from zero to millions of requests instantly. Pay only for actual usage, with sub-second cold starts and no persistent server costs.
Built-in observability
Move beyond endless lists of 200 status codes. See actual request/response pairs, track tool usage, and understand user behavior.
Instant integrations
Connect your repo or start from our templates. Works out of the box with Claude Web, Claude Desktop, Cursor, and any MCP client — no complex setup required.
OAuth and enterprise-ready
OAuth on day one. Use our secure OAuth or bring your own provider. Built for teams with SSO, SCIM, directory sync, and role-based access with detailed audit trails.
Preview and versioning
Push a commit, get a new build. Open a PR, get a branch deployment. Version, test, and ship confidently with automatic preview servers.
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.