nothumanallowed

data-ai MCP Server

Security-first platform for AI agents. 38 specialized agents, 15 AI-powered extensions, zero-knowledge multi-agent orchestration. SENTINEL WAF, Ed25519 auth, 2.6M grounding facts.

VerifiedReviewed
data-aidata-ai
3 views99 stars18 forksv16.0.64MIT

Why This Matters

Discovered via github-seeds:mcp-hot and last synced 3mo ago.

VerifiedReviewed
Source
github-seeds:mcp-hot
Stars
99
Last synced
3mo ago
Install
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51
Tools
0
Resources
0
Prompts
Standard I/O
Transport

Available Tools (51)

Agent

Role

Statistician

A/B testing, statistical modeling, hypothesis testing, regression analysis.

Infrastructure

CI/CD pipelines, deployment strategies, load testing, infrastructure design.

Kubernetes

K8s manifests, Helm charts, service mesh, pod security, resource optimization.

Transformer

Data transformation rules, format conversion, normalization, enrichment.

Translator

Localization, i18n strategy, cultural adaptation, translation quality.

Provider

Config Key

llm-key

claude-sonnet-4-5-20250929

openai-key

gpt-4o

gemini-key

gemini-2.0-flash

deepseek-key

deepseek-chat

grok-key

grok-3-mini-fast

mistral-key

mistral-large-latest

cohere-key

command-a-03-2025

ollama-url

llama3.1

Layer

Technology

L1

**Deliberation**

L2

**Debate**

L3

**MoE Gating**

L4

**Auction**

L5

**Evolution**

L6

**Latent Space**

L7

**Communication**

L8

**Knowledge Graph**

L9

**Meta-Reasoning**

Category

Datasets

Security

7 CVEs, no WAF

Validation

FEVER (fact verification)

Code

Stack Overflow (top answers)

Research

arXiv metadata

Knowledge

None

Navigation

GeoNames

Method

Path

None

5-agent analysis

Data

World Bank WDI

GET

`/nexus/gethcity/extensions`

OpenClaw

NHA

Dependencies

Electron + Chrome

Domain

PubMed abstracts

POST

`/grounding/search`

General

ConceptNet, Wikipedia, DBpedia, MMLU

Agents

1 generic

Creative

TriviaQA

Tools

Install from hub

Signal

What It Learns

Browser

Chrome instance (heavy)

Tool

Description

File

Type

provider

Calibrate AI tone, code style, constraints

memory

Architecture decisions, stack choices, developer preferences

skill

Reusable patterns, snippets, API integrations