MCP Tool Integration · Public

zettelforge

MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.

MCPTool callingHost configurationPermission boundariesAcceptance checks

Best fitDevelopers who need Claude, Cursor, Codex, or another MCP-capable AI host to call external tools safely.

Check whether this project matches your task before installing it.

What it can doMCP setup guidance, host configuration checks, tool permission boundaries, recovery steps, and acceptance checks

Review the portable capability path.

Before continuingVerify in a sandbox

Do not treat a preview pack as a proven local install.

GitHub snapshot51 stars

8 forks · 6 contributors

Doramagic.ai Last verification date: 2026-07-07 Verification method: source evidence, semantic profile, public page gate, and static build acceptance.

Official first step Read manual preview Source repository

Publication status · 2026-07-07

What is zettelforge?

zettelforge helps connect external tools, services, or data sources to AI hosts that support MCP.
Best fit: Developers who need Claude, Cursor, Codex, or another MCP-capable AI host to call external tools safely.
Not for: Not for users who cannot change host configuration, grant tool permissions, or isolate network, file, and credential access.
Capability added to an AI workflow: MCP setup guidance, host configuration checks, tool permission boundaries, recovery steps, and acceptance checks
First safe verification step: Verify the MCP server command, permission scope, and rollback path in a non-primary host configuration first.
Verification state: source, Quick Start, and sandbox install checks are recorded as passed.
Top risk: May increase setup, validation, or first-run risk for the user.
Evidence base: https://github.com/ThreatRecall/zettelforge, https://github.com/ThreatRecall/zettelforge#readme, Human Manual, Pitfall Log

Quick decision

Use this section to decide whether the project is worth a deeper read.

Best forDevelopers who need Claude, Cursor, Codex, or another MCP-capable AI host to call external tools safely.

Match the project to your task before installing it.

CapabilityMCP setup guidance, host configuration checks, tool permission boundaries, recovery steps, and acceptance checks

MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.

RepositoryThreatRecall/zettelforge

51 stars · 8 forks

What it can do

Translate the upstream project into concrete capabilities the user can judge before installing.

Overview & System Architecture

Related topics: Memory Pipeline: Extraction, Storage & Retrieval, Detection Rules, OSINT & Integrations, Operations, Security & Deployment

Source: https://github.com/ThreatRecall/zettelforge / Human Manual

Memory Pipeline: Extraction, Storage & Retrieval

Related topics: Overview & System Architecture, Detection Rules, OSINT & Integrations, Operations, Security & Deployment

Source: https://github.com/ThreatRecall/zettelforge / Human Manual

Detection Rules, OSINT & Integrations

Related topics: Overview & System Architecture, Memory Pipeline: Extraction, Storage & Retrieval, Operations, Security & Deployment

Source: https://github.com/ThreatRecall/zettelforge / Human Manual

Operations, Security & Deployment

Related topics: Overview & System Architecture, Memory Pipeline: Extraction, Storage & Retrieval, Detection Rules, OSINT & Integrations

Source: https://github.com/ThreatRecall/zettelforge / Human Manual

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

Source: Doramagic discovery, validation, and Project Pack records

Sources: https://github.com/ThreatRecall/zettelforge, Human Manual, Project Pack evidence, and downstream validation signals.

Community Discussion Evidence

Project-level external discussion stays visible on the detail page, not only inside the manual.

Stars51 stars

Forks8 forks

Contributors6 contributors

Licenseunknown

Community Discussion Evidence

12 source-linked items

Review these external discussions before using zettelforge with real data or production workflows. They are review inputs, not standalone proof that the project is production-ready.

01
Ratchet governance coverage threshold from 67% toward 80%
github / github_issue
02
Add typed DetectionMeta extension to MemoryNote.Metadata
github / github_issue
03
Add architecture decision records (ADRs)
github / github_issue
04
Add Sigma rule ID extraction
github / github_issue
05
RFC-016 Phase 1.5: OSINT collector executor, KG ingest, resolver wiring,
github / github_issue
06
Add IPv6 address extraction
github / github_issue
07
Add YARA rule reference extraction
github / github_issue
08
OSINT enrichers (AGE-120) follow-ups: maigret event-loop robustness + OS
github / github_issue
09
v2.8.0
github / github_release
10
Packages v0.1.0
github / github_release
11
ZettelForge v2.7.0
github / github_release
12
v2.6.2 — config editor UI/UX fix
github / github_release

How to start

Only source-backed commands are shown here. Verify them in an isolated environment first.

Try the prompt first

Test the workflow without installing the upstream project.

preview

Read the Human Manual

Understand inputs, outputs, limits, and failure modes.

manual

Take context to your AI host

Use the compiled assets in your preferred AI environment.

context

Run sandbox verification

Confirm install commands and rollback before using a primary environment.

verify

pip install zettelforge

Official start command · https://github.com/ThreatRecall/zettelforge#readme · verified: yes

Human Manual

The English page must expose the real manual, not a short placeholder.

8+ sections · Human Manual

zettelforge Manual

Agentic memory for CTI in Python — STIX knowledge graphs, threat-actor alias resolution, offline-first RAG, MCP server for Claude Code and LangChain agents

Open the full manual

https://github.com/ThreatRecall/zettelforge Project Manual
Table of Contents
Overview & System Architecture
Related Pages
Design Philosophy
Two-Phase Pipeline
Architecture Layers
Release Trajectory

Overview & System Architecture

Related topics: Memory Pipeline: Extraction, Storage & Retrieval, Detection Rules, OSINT & Integrations, Operations, Security & Deployment

Source: https://github.com/ThreatRecall/zettelforge / Human Manual

Memory Pipeline: Extraction, Storage & Retrieval

Related topics: Overview & System Architecture, Detection Rules, OSINT & Integrations, Operations, Security & Deployment

Source: https://github.com/ThreatRecall/zettelforge / Human Manual

Detection Rules, OSINT & Integrations

Related topics: Overview & System Architecture, Memory Pipeline: Extraction, Storage & Retrieval, Operations, Security & Deployment

Source: https://github.com/ThreatRecall/zettelforge / Human Manual

Operations, Security & Deployment

Related topics: Overview & System Architecture, Memory Pipeline: Extraction, Storage & Retrieval, Detection Rules, OSINT & Integrations

Source: https://github.com/ThreatRecall/zettelforge / Human Manual

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

Source: Doramagic discovery, validation, and Project Pack records

AI Context Pack and portable assets

After deciding to continue, take the project context into your own AI host.

Complete pack plus user-owned assets

These files are planning and verification assets for Claude Code, Codex, Gemini, Cursor, ChatGPT, and other AI hosts.

Download complete pack Read Human Manual

BundleComplete Project Pack AssetAI Context Pack AssetBoundary & Risk Card AssetHuman Manual AssetPitfall Log AssetPrompt Preview AssetQuick Start EvidenceREPO_INSPECTION.json

Preflight checks

Treat this page as a planning asset, not proof that your local environment is ready.

The manual is generated from source-linked project files and Doramagic validation signals.
Community evidence warnings stay visible instead of being converted into marketing claims.
This English page is indexable because the locale quality gate passed and explicit English index approval is enabled.
Use the upstream repository as the final authority for installation commands, license, and version-specific behavior.

Pitfall Log and verification risks

Doramagic surfaces high-risk items before users treat a candidate capability as verified.

high

Security or permission risk requires verification

May increase setup, validation, or first-run risk for the user.

high

Security or permission risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Configuration risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Capability evidence risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Maintenance risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Security or permission risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Security or permission risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Security or permission risk requires verification

May increase setup, validation, or first-run risk for the user.