PolicyLayer/Intercept
The enforcement layer for AI agents. Intercept enforces hard, deterministic limits on what agents can do at the MCP transport layer — before execution.
Intercept helps you control what your AI agents can do, preventing costly mistakes and unauthorized actions. It sits between your AI agent and the services it interacts with, using plain-language rules to block dangerous operations, enforce spending limits, or require human approval. This is for operations managers, security professionals, or anyone responsible for governing AI agent behavior in critical systems.
Use this if you need deterministic, unbreakable guardrails on AI agent actions, such as preventing a financial agent from issuing large refunds or an operations agent from deleting critical production files.
Not ideal if you only need the AI agent to 'try' to follow rules, as system prompts might suffice for less critical applications.
Stars
12
Forks
2
Language
Go
License
Apache-2.0
Category
Last pushed
Mar 10, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/mcp/PolicyLayer/Intercept"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
AndrewAltimit/template-repo
Agent orchestration & security template featuring MCP tool building, agent2agent workflows,...
knowledgepa3/gia-mcp-server
MCP proxy for GIA Governance — connects Claude Desktop and Claude Code to the hosted GIA...
Chimera-Protocol/csl-core
Deterministic safety layer for AI agents. Z3-verified policy enforcement.
portofcontext/pctx
pctx is the execution layer for agentic tool calls. It auto-converts agent tools and MCP servers...
agentralabs/agentic-contract
Policy engine for AI agents — enforceable rules, risk limits, approval gates, obligation...