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Scaling AI agent usage across an organization creates security, cost, and observability blind spots.
Securely scale AI usage across your organization. Control plane for building, securing and monitoring your agents, mcp and skills.
- Monitor AI agent usage and costs across your organization
- Enforce security policies on MCP servers and agent skills
- Build governed agent workflows with centralized oversight
Scaling AI agent usage across an organization creates security, cost, and observability blind spots. Gram provides a control plane for building, securing, and monitoring agents, MCP servers, and skills — the governance layer enterprises need.
Enterprise platform teams responsible for AI agent rollout who need centralized security policies, usage monitoring, and cost controls.
https://github.com/speakeasy-api/gram
By speakeasy-api
How to Get It
Sign up at app.getgram.ai (hosted) or follow the 'Running locally' guide in the repository README
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
After installing, paste this into Claude:
Help me monitor AI agent usage and costs across my organization
Trust Signals Auto-scanned
Community Pulse Active
Discussed on Hacker News, Reddit
- Show HN: Gram Functions – Serverless platform for turning code into LLM tools — Hacker News · 23 pts
- Gram: Open-Source platform to create, curate and host MCP servers — Hacker News · 20 pts
- Gram: Curate APIs into MCP server — Reddit · 14 pts
3 mentions across 2 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 265 GitHub stars; 44 contributors; last commit 0d ago; license AGPL-3.0.
Things to check
- Gram is a hosted control-plane product (SOC 2 Type II / ISO 27001 certified) with an open-source stack — running it yourself means operating the full platform, not installing a plugin. Claude/Claude Code integrate as supported AI providers through Gram's managed MCP and skill distribution.
- License (AGPL-3.0) may restrict commercial use. Check with your legal team.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 265 GitHub stars; 44 contributors; last commit 0d ago; license AGPL-3.0.