Skip to main content
Glama
gweber

MCP Decoy Server

by gweber

Related Servers

Alternatives to MCP Decoy Server

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables defenders to deploy a decoy MCP tool server that records and fingerprints how LLM agents probe, escalate, and persist, without exposing real systems.
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Presents a plausible, tool-rich workspace surface — file reading, credential listing, command execution, database queries, and configuration retrieval — that returns only synthetic results while logging every connection, tool call, and argument received. It enables researchers to measure what MCP clients and agents actually do when handed dangerous-sounding tools, including whether they follow injected instructions or complete a retrieve-then-use credential chain.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Simulates sensitive internal tools as a honeypot to detect unauthorized access and AI agent behaviors using Canarytokens, deployed as a serverless Cloudflare Worker with MCP protocol support.
      22
      MIT
    • F
      license
      Not graded
      quality
      D
      maintenance
      A security-focused MCP server that enables automated log retrieval and threat analysis using LangGraph orchestration and RAG. It allows users to detect suspicious activity and generate structured security insights by integrating LLM reasoning with log data and runbook documentation.
      -
    • A
      license
      B
      quality
      C
      maintenance
      Enables AI agents to defend against prompt injection by exposing decoy tools and transparently proxying real MCP servers to block injected calls.
      11
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      A simulated CloudOps MCP server exposing tools, resources, and prompts backed by fake Azure-style infrastructure data to demonstrate AI-driven operational workflows without real credentials.
      MIT