"author:cognis-digital" matching MCP servers:

A no-train, on-prem code knowledge graph served over the Model Context Protocol, enabling AI agents to query code structure (symbols, calls, cross-language edges) with a tamper-evident audit log.

RAG corpus poisoning detector that scans for embedding anomalies and backdoor triggers, with an MCP server for AI agent integration.

MCP server for AI content generation, enabling agents to learn a voice, generate content ideas, write scripts, and produce multi-platform content deterministically.

Runtime allowlist and policy for agent tool-calls, enabling security scanning (e.g., TODO/FIXME/XXX findings) via MCP for AI agents.

Enables AI agents to scan codebases for TODO/FIXME/XXX patterns and get prioritized results over MCP, supporting CI gates and multiple output formats.

Local LLM cost & token forensics proxy with anomaly detection, enabling security teams to scan for cost anomalies and abuse patterns, and expose results via MCP for autonomous agents.

Portable long-term memory store for agents, exposed over MCP.

MCP server for auditing AI agent permissions and access by scanning for the trifecta of credentials, injection, and reach without heavy infrastructure.

A local GeoGuessr-for-real-life: reads EXIF GPS and reasons over visual clues using a local uncensored vision-language model + a reasoning model — no cloud, no API keys, nothing uploaded.

MCP server for scanning AI systems and code for demographic, occupational, and geographic biases. Enables CI integration and AI agent-driven bias detection.

Scans MCP servers for security hardening issues including capability declarations, transport, and tool descriptions.