Universal AI skill compiler + MCP bridge. Write once, run across ChatGPT/Codex, Claude, Gemini, DeepSeek, Meta/Llama and browsers.
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Topics declared
- ✓Documented (README)
claude mcp add daube-agent-bridge -- python -m -e{
"mcpServers": {
"daube-agent-bridge": {
"command": "python",
"args": ["-m", "pip"]
}
}
}MCP Servers overview
# 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.
[](https://github.com/daubesonntag-dotcom/daube-agent-bridge/releases)
[](https://registry.modelcontextprotocol.io/v0.1/servers?search=io.github.daubesonntag-dotcom%2Fdaube-agent-bridge)
[](LICENSE)
[](pyproject.toml)
## 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.git
cd daube-agent-bridge
python -m pip install -e ".[dev]"
daube-bridge validate examples/skill.yaml
daube-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.whl
python -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`](server.json).
## Target matrix
| Surface | Output | Strategy |
|---|---|---|
| MCP hosts | MCP server + tool schemas | Shared transport/tool backbone |
| OpenAI / ChatGPT / Codex | `SKILL.md`, MCP descriptor, function schemas | Skills + MCP/tool calling |
| Claude | `.claude-plugin/plugin.json`, `.mcp.json`, `SKILL.md` | Plugin + portable skill + MCP |
| Gemini / Google agents | `SKILL.md`, MCP config | Portable skill + MCP |
| DeepSeek | OpenAI-style `tools.json` | Function/tool calling adapter |
| Meta / Llama | neutral `tools.json` | Application/router function schema |
| Chromium browsers | Manifest V3 side panel | Endpoint/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 Skill
version: 0.1.0
description: 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.py
python 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:
- [`CONTRIBUTING.md`](CONTRIBUTING.md)
- [`CHANGELOG.md`](CHANGELOG.md)
- [`GOVERNANCE.md`](GOVERNANCE.md)
- [`docs/PROVIDER_COMPATIBILITY.md`](docs/PROVIDER_COMPATIBILITY.md)
- [`docs/20K_STAR_PLAYBOOK.md`](docs/20K_STAR_PLAYBOOK.md)
- [`docs/CODEX_FOR_OSS.md`](docs/CODEX_FOR_OSS.md)
- [`docs/OPEN_SOURCE_FUND.md`](docs/OPEN_SOURCE_FUND.md)
- [`docs/DISTRIBUTION.md`](docs/DISTRIBUTION.md)
- [`docs/LAUNCH_KIT.md`](docs/LAUNCH_KIT.md)
- [`SECURITY.md`](SECURITY.md)
## License
MIT © 2026 D'AUBE SONNTAG.
What people ask about daube-agent-bridge
What is daubesonntag-dotcom/daube-agent-bridge?
+
daubesonntag-dotcom/daube-agent-bridge is mcp servers for the Claude AI ecosystem. Universal AI skill compiler + MCP bridge. Write once, run across ChatGPT/Codex, Claude, Gemini, DeepSeek, Meta/Llama and browsers. It has 0 GitHub stars and its last recorded update is dated 2026-09-12.
How do I install daube-agent-bridge?
+
You can install daube-agent-bridge by cloning the repository (https://github.com/daubesonntag-dotcom/daube-agent-bridge) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is daubesonntag-dotcom/daube-agent-bridge safe to use?
+
Our security agent has analyzed daubesonntag-dotcom/daube-agent-bridge and assigned a Trust Score of 95/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.
Who maintains daubesonntag-dotcom/daube-agent-bridge?
+
daubesonntag-dotcom/daube-agent-bridge is maintained by daubesonntag-dotcom. The last recorded GitHub activity is dated 2026-09-12, with 6 open issues.
Are there alternatives to daube-agent-bridge?
+
Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
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