"author:cognis-digital" matching MCP servers:

Enables LLM agents to acquire token-budgeted, deterministic context packs from repositories, with hash-chained provenance for auditability.

Enables AI agents to scan code for TODO, FIXME, XXX issues via MCP, providing prioritized findings in table, JSON, or SARIF format.

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.

LLM red-team harness that scans for OWASP LLM Top 10 and MITRE ATLAS vulnerabilities, providing prioritized findings in table, JSON, SARIF, or via an MCP server for AI agents.

Cryptographically verifiable, scope-narrowing delegation chains for AI agents, enabling human-anchored authorization across multiple hops.

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.

A self-hostable, MCP-native RAG pipeline that ingests, indexes, and serves data, enabling AI agents to scan codebases for prioritized findings and integrate with CI workflows.

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

Enables AI agents to auto-generate NIST AI RMF and EU AI Act Annex IV compliant model and system cards via MCP.

Enables lightweight CRM pipeline management with email sequences, project scanning, and MCP-based interaction for AI agents.

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.

Runtime agent firewall for PII redaction, rate limits, and policy enforcement, enabling autonomous agent security via MCP integration.

MCP-native auditor for LLM hallucination and grounding issues in RAG systems. Provides prioritized findings in table, JSON, or SARIF format for CI gating and AI agent integration.

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