# pycti-mcp

> Use this tool when you need to integrate Large Language Models (LLMs) with OpenCTI data, providing condensed and normalized information for lookup of observables, adversaries, and reports. It solves problems related to data enrichment and context provision for AI models, enabling more accurate and informed decision-making. The pycti-mcp server takes in OpenCTI data as input and outputs normalized information to LLMs, ideal for use cases requiring enhanced contextual understanding.

Canonical page: https://skillsregistry.net/skills/ckane-pycti-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ckane-pycti-mcp

## Description

MCP server that provides condensed and normalized data from OpenCTI to LLMs, enabling lookup of observables, adversaries, and reports with enriched context.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ofl0cols9j)
- **Repository:** <https://github.com/ckane/pycti-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ckane-pycti-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ckane-pycti-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ckane-pycti-mcp/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt