KORE

Agent-native ops kernel with 14 PIL-powered tools — route, compress, guard, memory, score, certify, optimizeprompt, and more.

CommunityOnlineNo sign-inGlobalFreeCan modify data

What it can do

  • Guard: Check AI output against source documents to detect hallucination. Returns safety score, flagged claims, and revision hints.
  • Compress: Semantically compress text 3-5x without quality loss. Reduces token costs for LLM context windows.
  • Route: Route a task to the cheapest LLM provider that meets quality threshold. Uses 11-provider fallback chain. Saves 60-90% on inference costs.

What data it sees

Do you need an account

No: the server works without sign-in

Agent-native ops kernel with 14 PIL-powered tools — route, compress, guard, memory, score, certify, optimize_prompt, and more.

PIPELINE (7cr = $0.007): route → compress → guard → memory → score → certify

PIL KERNEL: optimize_prompt uses a self-improving 45-template prompt archive invent: full invention chain with adversarial verification (15cr)

Free tier: 500 credits. No card needed. POST /v1/register → instant API key

Starter: $9 / 10,000 credits Pro: $49 / 100,000 credits

How to connect

How to connect KORE to Claude

The server address to paste into Claude settings:

https://kore-api--amonmaly-33.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect KORE to ChatGPT

The server address to paste into ChatGPT settings:

https://kore-api--amonmaly-33.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect KORE to Cursor

The server address to paste into Cursor settings:

https://kore-api--amonmaly-33.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (13)

Raw names from tools/list. Only developers need these.

guardCheck AI output against source documents to detect hallucination. Returns safety score, flagged claims, and revision hints.
compressSemantically compress text 3-5x without quality loss. Reduces token costs for LLM context windows.
routeRoute a task to the cheapest LLM provider that meets quality threshold. Uses 11-provider fallback chain. Saves 60-90% on inference costs.
memoryStore or retrieve observations from cross-agent memory. Qdrant-backed with all-MiniLM embeddings. Network effect across all agents.
normalizeDetect prompt injections, normalize whitespace, strip noise from text. Returns risk score and blocked flag.
scoreRank multiple candidate outputs by heuristic quality. Evaluates length, code quality, structure, and keyword coverage.
splitDecompose a complex task into parallel subtasks. Supports 5 decomposition types: sequential, parallel, build, verify, document.
diffCompute a meaning-preserving semantic diff between original and modified text using SequenceMatcher.
provenanceGenerate EU AI Act compliant provenance certificate with HMAC-SHA256 hash chain. Certify claims with source attribution.
embedCompute text embeddings via all-MiniLM-L6-v2 with LRU cache. Returns vector embeddings for RAG or similarity search.
sandboxExecute Python code in a secure sandbox. 30-second timeout with automatic temp file cleanup. No Docker needed.
verifyVerify AI-generated answers against provided source documents. Returns groundedness score, risk level, and detailed issue list.
auditRetrieve or verify the immutable HMAC-SHA256 chained audit trail. EU AI Act compliant. Tamper-evident logging for all API calls.