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Source-traced evidence research for AI agents. We organise the evidence; you decide.
About
Source-traced evidence research for AI agents. We organise the evidence; you decide.
Remote endpoints: streamable-http: https://api.trueight.com/mcp/
Security Report
The MCP server implementation shows reasonable security foundations with proper auth requirements and input validation, but has moderate concerns around sensitive data handling, credential exposure risks in environment variables, and insufficient error handling for production-grade code. The pipeline runner component lacks sanitization safeguards in some error paths and the codebase relies heavily on environment variable management for critical secrets without demonstrated secure storage patterns. While the server's permissions align with its evidence research purpose, the implementation quality issues and credential management approach warrant attention before deployment. Package verification found 1 issue (1 critical, 0 high severity).
4 files analyzed · 9 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
Unverified package source
We couldn't verify that the installable package matches the reviewed source code. Proceed with caution.
What You'll Need
Set these up before or after installing:
Environment variable: TRU8_API_KEY
Environment variable: TRU8_API_URL
How to Install & Connect
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
Documentation
View on GitHubFrom the project's GitHub README.
Tru8 — AI-Powered Evidence Research Platform
Tru8 organises evidence so you can decide what matters. Submit a claim or URL, and Tru8 retrieves evidence from the open web and specialist APIs, classifies it by tier (primary / reporting / commentary) and type (data / official / news / analysis / opinion / academic), decomposes claims into elements, maps evidence to those elements, and presents the full landscape — structured, not summarised.
Mission: "We organise; you decide."
Quick Start
Prerequisites
- Docker & Docker Compose
- Python 3.11+
- Node.js 20+
1. Start Infrastructure
docker-compose up -d # PostgreSQL 16, Redis 7, Qdrant
2. Backend
cd backend
python -m venv venv
source venv/bin/activate # Windows: venv\Scripts\activate
pip install -r requirements.txt
cp .env.example .env # Edit with your API keys
alembic upgrade head
uvicorn app.main:app --reload # http://localhost:8000
3. Frontend
cd web
npm install
npm run dev # http://localhost:3000
Project Structure
tru8/
├── backend/ # FastAPI backend + evidence pipeline
│ ├── app/
│ │ ├── api/v1/ # REST endpoints (checks, agent, verify, payments)
│ │ ├── core/ # Config, auth, pricing, manifest signing
│ │ ├── models/ # SQLModel schemas (Check, Claim, Evidence, ClaimConsensus)
│ │ ├── pipeline/ # Two-phase evidence pipeline
│ │ ├── services/ # API adapters, search, payments, consensus
│ │ └── utils/ # Classifiers, deduplication, query planning
│ ├── alembic/ # Database migrations
│ ├── tru8_mcp/ # MCP server package for AI agents
│ └── tests/ # 990 unit + integration tests
├── web/ # Next.js 14 frontend
│ ├── app/ # Pages (dashboard, developers, public reports)
│ ├── components/ # Evidence views, claim map, marketing
│ └── lib/ # API client, tiers, diagnostics
├── shared/ # Shared TypeScript types
├── docker-compose.yml # PostgreSQL, Redis, Qdrant, MinIO (optional)
└── .claude/CLAUDE.md # Full engineering context
Pipeline
Two-phase pipeline with user claim selection gate (article mode):
Phase 1: Ingest → Extract claims → Classify article → Rank claims
[PAUSE — user selects claims]
Phase 2: Fact-check lookup → Decompose into elements → Retrieve evidence →
Score relevance → Classify tier/type → Map evidence to elements →
Derive orientation → Complete
Post: Coverage recovery (Stage 5.1), video recommendations, auto-archiving
Evidence flows through web search plus specialist source adapters:
| Category | Sources |
|---|---|
| Web search | Serper.dev, Brave Search, SerpAPI (fallback chain) |
| Fact-check | Google Fact-Check API |
| Government | GOV.UK, Hansard, GovInfo, Companies House, ONS |
| Legal | UK Legislation (legislation.gov.uk) |
| Economic | FRED, Marketaux, World Bank |
| Academic | Semantic Scholar, OpenAlex, PubMed |
| Climate | NOAA, WeatherAPI, Open-Meteo, GBIF |
| Archives | Wikipedia (+ reference mining), Library of Congress, Internet Archive |
| Health | WHO |
| Sports | Transfermarkt, Football-Data.org |
| Video | YouTube Data API |
Six Evidence Views
| View | Question it answers |
|---|---|
| Cartographer | What's the shape of this conversation? |
| Librarian | Is this the full set, clearly labelled? |
| Interpreter | Does this evidence answer this sub-question? |
| Projectionist | What's been said on camera? |
| Chronologist | When did the evidence appear? |
| Seeker | What don't we know yet? |
API & Agent Access
Tru8 exposes a developer API and MCP server for AI agents.
Agent Commerce Gateway
# Quick check (~15s, heuristic classification)
curl -X POST https://api.trueight.com/api/v1/agent/quick \
-H "X-API-Key: $TRU8_API_KEY" \
-d '{"claim": "UK inflation is 3.2%"}'
# Smart endpoint with tier fallback (lookup → consensus → quick → full)
curl -X POST https://api.trueight.com/api/v1/agent/check \
-H "X-API-Key: $TRU8_API_KEY" \
-d '{"claim": "UK inflation is 3.2%", "max_tier": "full"}'
| Tier | Cost | Time | What you get |
|---|---|---|---|
| Lookup | ~£0.02 | instant | Cached prior analysis |
| Consensus | ~£0.03 | instant | Cross-user aggregate landscape (k>=3 checks) |
| Quick | ~£0.07 | ~15s | Web search + heuristic classification |
| Full | ~£0.15 | ~60-90s | web + specialist APIs, LLM classification, element decomposition |
Three payment rails: x402 (USDC/SIWE), Skyfire (JWT), prepaid credits.
MCP Server
{
"mcpServers": {
"tru8": {
"command": "python",
"args": ["-m", "tru8_mcp"],
"env": { "TRU8_API_KEY": "tru8_sk_..." }
}
}
}
Tools: tru8_check (evidence research with tier fallback), tru8_get_result (with analytics), tru8_get_result_raw.
Manifest Verification
Every completed check receives an HMAC-SHA256 signed manifest. Verify the signed fields haven't changed since signing:
curl https://api.trueight.com/verify/{check_id}
Testing
cd backend
pytest tests/ -v # Full suite (990 tests)
pytest tests/unit/pipeline/ -v # Pipeline unit tests
pytest tests/unit/agent/ -v # Agent/commerce tests
pytest tests/integration/ -v # Integration tests
Infrastructure
| Service | Port | Purpose |
|---|---|---|
| PostgreSQL 16 | 5433 | Primary database (SQLModel) |
| Redis 7 | 6379 | Cache + rate limiting |
| Qdrant | 6333 | Vector similarity search |
| MinIO (optional) | 9000 | Local S3 for file uploads |
Auth: Clerk (JWT + JWKS) for dashboard, API keys for developer access. Payments: Stripe (4 subscription tiers) + Agent per-use payments.
API Documentation
- Swagger UI: http://localhost:8000/api/docs
- ReDoc: http://localhost:8000/api/redoc
- Health: http://localhost:8000/api/v1/health/
Environment Variables
Copy backend/.env.example to backend/.env. Key groups:
| Group | Required | Variables |
|---|---|---|
| Database | Yes | DATABASE_URL |
| Redis | Yes | REDIS_URL |
| Auth | Yes | CLERK_SECRET_KEY, CLERK_JWT_ISSUER |
| LLM | Yes | GOOGLE_AI_API_KEY, OPENAI_API_KEY |
| Search | Yes (at least one) | SERPER_API_KEY, BRAVE_API_KEY, SERP_API_KEY |
| Payments | For subscriptions | STRIPE_SECRET_KEY, STRIPE_WEBHOOK_SECRET |
| Government APIs | Optional | FRED_API_KEY, NOAA_API_KEY, etc. |
| Manifest signing | Optional | MANIFEST_SIGNING_ENABLED, MANIFEST_SIGNING_KEY |
Feature flags (all default to sensible values): ENABLE_API_RETRIEVAL, ENABLE_LLM_RELEVANCE_SCORER, ENABLE_QUERY_PLANNING, etc. See backend/.env.example for the full list.
Licence
Private — All rights reserved.
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