MCP Tool Integration · Public

ompa

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 snapshot2 stars

0 forks · 4 contributors

Official first step Read manual preview Source repository

Publication status · 2026-05-24

What is ompa?

ompa 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: The main risk is unclear tool, filesystem, network, or credential boundaries contaminating host configuration or exposing sensitive data.
Evidence base: https://github.com/jmiaie/ompa, https://github.com/jmiaie/ompa#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.

Repositoryjmiaie/ompa

2 stars · 0 forks

What it can do

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

Introduction to OMPA

Related topics: Three-Layer Architecture, Quick Start Guide

Sources: [README.md:47-56]()

Quick Start Guide

Feature Comparison

Three-Layer Architecture

Related topics: Vault System, Palace System, Knowledge Graph

Sources: [README.md](https://github.com/jmiaie/ompa/blob/main/README.md)

Lifecycle Hooks

Related topics: Three-Layer Architecture, Python API Reference

Sources: [ompa/hooks.py:10-17]()

Sources: https://github.com/jmiaie/ompa, 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.

Stars2 stars

Forks0 forks

Contributors4 contributors

Licenseunknown

Community Discussion Evidence

10 source-linked items

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

01
[P0] agent_integration.py race condition — session.memory attribute not
github / github_issue
02
OMPA v0.2.1 — Security & Reliability Hardening
github / github_release
03
OMPA v0.2.0 — The Big Rename
github / github_release
04
Anybody who tried Hermes-Agent? : r/LocalLLaMA - Reddit
reddit / searxng_indexed
05
100+ agentic skills, commands, and plugins for PMs. Designed for ...
x / searxng_indexed
06
Your self-hosted AI agents can match closed-source models - I ... - Redd
reddit / searxng_indexed
07
I built a free MCP server with Claude Code that gives Claude a Jira-like
reddit / searxng_indexed
08
I did an analysis of 44 AI agent frameworks, sharing the result
reddit / searxng_indexed
09
Zero-human company tech Open-source AI Agent orchestration ...
x / searxng_indexed
10
README/documentation is current enough for a first validation pass.
GitHub / issue

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 ompa

Official start command · https://github.com/jmiaie/ompa#readme · verified: yes

Human Manual

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

8+ sections · Human Manual

ompa Manual

OMPA serves as a second brain for AI agents, enabling them to:

Open the full manual

ompa Human Manual
Table of Contents
Introduction to OMPA
Related Pages
Overview
Key Features
Architecture
Core Components

Introduction to OMPA

Related topics: Three-Layer Architecture, Quick Start Guide

Sources: [README.md:47-56]()

Quick Start Guide

Feature Comparison

Three-Layer Architecture

Related topics: Vault System, Palace System, Knowledge Graph

Sources: [README.md](https://github.com/jmiaie/ompa/blob/main/README.md)

Lifecycle Hooks

Related topics: Three-Layer Architecture, Python API Reference

Sources: [ompa/hooks.py:10-17]()

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 ManifestPROJECT_PACK.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.

medium

Review upstream issue

The source signal needs review before production use.

medium

Review upstream issue

The source signal needs review before production use.

medium

Review upstream issue

README/documentation is current enough for a first validation pass.

medium

Review upstream issue

I did an analysis of 44 AI agent frameworks, sharing the result 18 Feb 2026 · One thing missing from most framework comparisons is how they handle failures during agent execution. Tool call retries, error recovery, and ...

medium

Review upstream issue

Your self-hosted AI agents can match closed-source models - I ... - Reddit 24 Nov 2025 · Looking for open-source knowledge management tool ... Let's compare 5 Open-Source AI Agent Tools that everyone cannot stop talking about on Reddit.

medium

Review upstream issue

The source signal needs review before production use.

medium

Review upstream issue

no_demo

medium

Review upstream issue

no_demo