jev
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@jevRun a typed Jev evaluation on this input and return the result."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Typed Decision Router for Multica
This bundle creates a private Typed Decision Router agent on a Multica instance. It includes an MCP bridge compatible with TypeSafe AI's Jev API model, the pinned Python dependency, the agent policy, and an importable copy of TypeSafe AI's open-source skill.
This is an independent community integration. It is not affiliated with, sponsored by, endorsed by, or an official product of TypeSafe AI or Multica. Product names are used only to identify compatibility. See NOTICE.
The TypeSafe API key is deliberately excluded. The installer asks macOS Keychain to collect it directly, so it does not enter this archive, Multica's database, an agent environment, or shell history.
Requirements
macOS
Python 3
Multica CLI authenticated to the destination workspace
An online Multica Codex runtime that supports
gpt-5.6-solNetwork access to
https://api.typesafe.aiA valid TypeSafe API key
uv is used when available. Otherwise, the installer uses Python's built-in
virtual environment and pip.
Related MCP server: Jevbridge
Install
Clone the public repository and run the installer:
git clone https://github.com/bhzdcz/multica-typed-decision-router.git
cd multica-typed-decision-router
python3 install.pyYou can also download the .zip bundle from the GitHub release, extract it,
enter the extracted directory, and run:
python3 install.pyThe installer chooses the first online Codex runtime. To select one explicitly:
python3 install.py --runtime-id RUNTIME_UUIDIt then prompts for the API key through macOS Keychain, performs a live Jev API
self-test, imports the bundled typesafe-ai skill, registers the local jev
MCP server, creates or updates the agent, and assigns the skill and MCP server.
The installer is idempotent. Re-running it updates the MCP executable paths and
the matching agent configuration. An existing Keychain entry is retained unless
you pass --replace-key.
Installed security model
Keychain account: the logged-in macOS user
Keychain service:
airoweb.multica.typesafeLocal integration:
~/.multica/integrations/jevAgent permission: private
Agent behavior: shadow mode with human escalation
MCP behavior: typed Jev evaluation only; no external side effects
To rotate the credential, run:
python3 install.py --replace-keyBundle contents
install.py: complete idempotent installeragent-config.json: portable agent definition and safety policymcp/server.py: Keychain-backed Jev MCP bridgerequirements.txt: pinned MCP dependencyskills/typesafe-ai.skill: Multica-importable skill archiveskills/typesafe-ai/SKILL.md: readable vendored skill sourcemanifest.json: provenance and compatibility informationSHA256SUMS: integrity hashes for the unpacked filesNOTICE: third-party attribution and trademark statement
The vendored TypeSafe skill is MIT licensed and originates from
https://github.com/typesafe-ai/skills/tree/main/skills/typesafe-ai, pinned in
the manifest to the exact exported commit.
The Multica integration code in this repository is released under the MIT License. TypeSafe's vendored skill retains its included upstream license.
Service terms
The installer requires each user to supply their own API key and calls the API through the documented endpoint. It does not expose the API as a standalone service, distribute credentials, imitate the model, or remove proprietary notices. Users remain responsible for their account's service agreement, documentation, usage limits, acceptable-use rules, and submitted data.
This server cannot be deployed
Maintenance
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