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by Various

Runtime governance for MCP tool calls — Arc Gate for the MCP protocol layer

9

MCP

9hannahnine-jpg/arc-gate-mcp

Added 7 June 2026

#ai-security #llm-security #mcp #model-context-protocol #prompt-injection

Overview

Arc-Gate-MCP provides runtime governance for MCP (Model Context Protocol) tool calls by intercepting and enforcing policies at the protocol layer. It is implemented in Python and designed to integrate into MCP-based workflows.

Best for

Best for
Developers who need runtime policy enforcement for MCP-based agent tool calls in experimental or internal projects

Use cases

  • Enforce access control policies on MCP tool invocations
  • Audit and log tool usage in AI agent pipelines
  • Apply rate limiting or validation rules to MCP tool calls

Notes

Arc-Gate-MCP provides runtime governance for MCP (Model Context Protocol) tool calls by intercepting and enforcing policies at the protocol layer. It is implemented in Python and designed to integrate into MCP-based workflows.

0 stars on GitHub. Last updated 2026-05-31.

Use cases

  • Enforce access control policies on MCP tool invocations
  • Audit and log tool usage in AI agent pipelines
  • Apply rate limiting or validation rules to MCP tool calls

Pros

  • Lightweight Python implementation that slots into existing MCP setups
  • Focuses specifically on governance without overcomplicating the protocol layer
  • Open source with potential for custom policy extensions

Cons

  • Zero stars on GitHub indicates very limited community adoption and testing
  • Documentation and sample usage are minimal based on repository status
  • Requires familiarity with MCP protocol to configure effectively

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Lightweight Python implementation that slots into existing MCP setups
  • Focuses specifically on governance without overcomplicating the protocol layer
  • Open source with potential for custom policy extensions

Cons

  • Zero stars on GitHub indicates very limited community adoption and testing
  • Documentation and sample usage are minimal based on repository status
  • Requires familiarity with MCP protocol to configure effectively