D'AUBE // BRIDGE²

io.github.daubesonntag-dotcomPublished by GitHub account daubesonntag-dotcomv0.1.3Updated Oct 24, 2026

Universal AI skill compiler and MCP bridge. Write once, run across agents.

VerifiedSTDIODesktop onlyDeveloper ToolsAI & ML

Overview

AI-generated overview

Compiles one portable skill specification into integration artifacts for multiple AI agents and MCP hosts, and exposes validation and compilation as MCP tools.

What you can do
D'AUBE // BRIDGE² is a universal AI skill compiler and MCP bridge. From a single portable skill definition it generates integration artifacts for MCP hosts, OpenAI/ChatGPT/Codex, Claude, Gemini, DeepSeek, Meta/Llama, and Chromium browsers. Its bundled MCP server exposes three primitives: bridge_targets to discover supported compilation targets, validate_skill to validate a portable skill object, and compile_skill to compile a skill in-memory for another agent or tool.
When to use it
Use it when the same capability has to be shipped to several agent platforms and you want to write the logic once instead of rewriting it as MCP tools, provider function schemas, skills, plugins, and browser configuration. It suits teams that maintain cross-provider tooling and want generated artifacts that stay readable and diffable.
Requirements
Runs as a local process on the user's machine, desktop only, over stdio. The README installs it with Python and pip (including a wheel from GitHub Releases) and notes an MCPB bundle using the uv runtime; it can also serve an HTTP MCP endpoint on localhost. No authentication, environment variables, or headers are declared.
Before you install
The README's external review statement says the deployment record passed AI Deploy Network review and is not a client-confirmed commercial outcome or a guarantee of production performance. Installation pulls code from a GitHub repository and release wheel, and the HTTP mode exposes a local endpoint. The README states that authentication and sensitive actions remain explicit, but no credentials are declared in the manifest.

Installation

In SourceWeft

  1. Open D'AUBE // BRIDGE² in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

D'AUBE // BRIDGE²

Write once. Run across agents.

D'AUBE // BRIDGE² is an open-source universal AI skill compiler and MCP bridge. Define one portable capability spec, then compile it into integration artifacts for ChatGPT/Codex, Claude, Gemini, DeepSeek, Meta/Llama, MCP hosts, and Chromium browsers.

[Release] [MCP Registry] [License: MIT] [Python]

External review

On 2026-09-18, the BRIDGE² deployment record was AI Deploy Network Approved after review of the submitted implementation evidence. This means the deployment record passed AI Deploy Network review; it is not a client-confirmed commercial outcome or a guarantee of production performance.

The canonical publication narrative is maintained in docs/AI_DEPLOY_CASE_STUDY.md. The reviewed case study is now publicly available on AI Deploy Network.

Why BRIDGE²

AI tooling is fragmented. The same capability is repeatedly rewritten as MCP tools, provider function schemas, skills, plugins, and browser configuration. BRIDGE² treats those surfaces as compiler targets while keeping capability logic provider-neutral.

text
skill.yaml  |  +-- MCP tool schema  +-- OpenAI / ChatGPT / Codex artifacts  +-- Claude plugin + SKILL.md  +-- Gemini SKILL.md + MCP config  +-- DeepSeek tool schemas  +-- Meta/Llama function schemas  +-- Chromium extension manifest

Current release: 7 target families, 15 deterministic artifacts, one MCP server.

30-second start

bash
git clone https://github.com/daubesonntag-dotcom/daube-agent-bridge.gitcd daube-agent-bridgepython -m pip install -e ".[dev]"daube-bridge validate examples/skill.yamldaube-bridge compile examples/skill.yaml -o build/sample

Install the verified v0.1.3 wheel directly from GitHub Releases:

bash
python -m pip install https://github.com/daubesonntag-dotcom/daube-agent-bridge/releases/download/v0.1.3/daube_agent_bridge-0.1.3-py3-none-any.whlpython -m daube_bridge doctor

python -m daube_bridge ... is the shim-free CLI path for Windows environments where Application Control blocks generated console-script executables.

Run BRIDGE² as a local stdio MCP server:

bash
python -m daube_bridge.server

Or expose the HTTP MCP endpoint for remote/local integrations:

bash
daube-bridge serve# http://127.0.0.1:8000/mcp

One-click MCPB

BRIDGE² ships an MCPB v0.4 bundle definition using the cross-platform uv runtime. Build the deterministic bundle with:

bash
python scripts/build_mcpb.py

The build is reproducible: identical source produces an identical archive hash. Official MCP Registry metadata lives in server.json.

Target matrix

SurfaceOutputStrategy
MCP hostsMCP server + tool schemasShared transport/tool backbone
OpenAI / ChatGPT / CodexSKILL.md, MCP descriptor, function schemasSkills + MCP/tool calling
Claude.claude-plugin/plugin.json, .mcp.json, SKILL.mdPlugin + portable skill + MCP
Gemini / Google agentsSKILL.md, MCP configPortable skill + MCP
DeepSeekOpenAI-style tools.jsonFunction/tool calling adapter
Meta / Llamaneutral tools.jsonApplication/router function schema
Chromium browsersManifest V3 side panelEndpoint/config control surface

This matrix describes integration artifacts BRIDGE² generates. It does not invent provider capabilities that do not exist.

Portable skill format

yaml
name: My Research Skillversion: 0.1.0description: Research and compare options.tools:  - name: compare_options    description: Compare options against explicit criteria.    parameters:      type: object      properties:        options:          type: array          items: {type: string}      required: [options]

MCP tools

The bundled server exposes three small primitives:

  • bridge_targets — discover supported compilation targets.
  • validate_skill — validate a portable skill object.
  • compile_skill — compile a skill in-memory for another agent or tool.

That makes BRIDGE² usable both as a CLI and as infrastructure callable by other agents.

Verify before release

bash
python scripts/verify.pypython scripts/build_mcpb.py.tools/mcp-publisher.exe validate

The verification gate covers tests, Ruff, target discovery, sample compilation, wheel creation, deterministic MCPB creation, and official MCP Registry metadata validation.

After publishing a GitHub Release, smoke-test the public wheel in an isolated environment:

bash
python scripts/smoke_release.py 0.1.3

Roadmap

  • ChatGPT Apps SDK interactive widget target.
  • npx / TypeScript compiler parity.
  • Provider capability detection and compatibility linting.
  • Signed bundles and provenance manifests.
  • Remote registry + searchable skill catalog.
  • One-click adapters for agent IDEs and orchestration frameworks.
  • Golden interoperability fixtures across providers.

Project principles

  1. Portable by default. Prefer MCP and open schemas over provider lock-in.
  2. Evidence over pretending. Never claim native support that a provider does not have.
  3. Readable outputs. Generated artifacts stay human-auditable and diffable.
  4. Safe boundaries. Authentication and sensitive actions remain explicit.
  5. Fast adoption. A useful first result should take minutes, not a framework migration.

Contributing

Issues, adapters, compatibility fixtures, docs, and provider integrations are welcome. Provider-format changes should include a link to authoritative documentation and a minimal reproducible fixture.

Useful starting points:

License

MIT © 2026 D'AUBE SONNTAG.

Source: README.md at commit 56af43f

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v0.1.3LatestSep 16, 2026

Score

50% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts