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Vernclaw
Managed connectors for AI agents: CLI, MCP, audit trails
Vernclaw gives AI agents managed access to research, SEO, social, extraction, and generation tools—without building a separate auth, schema, billing, and logging layer for every provider. Use it from a JSON-first CLI, install its agent skills, or connect the same managed runtime through remote MCP. What makes it different: * A stable agent workflow: status → list --json → describe → invoke * Compact JSON output by default; --pretty is for humans
I built Vernclaw after repeatedly hitting the same problem with agent workflows: getting a model to call an API is easy; operating that capability repeatedly is not.
Every useful workflow accumulated more one-off work:
* provider-specific authentication
* changing request schemas
* inconsistent response shapes
* unclear usage and cost
* no shared answer to “which tools are actually enabled?”
* no useful record when a call fails or is denied
Vernclaw is my attempt at a thinner, more operational connector layer.
The CLI is intentionally boring:
```
npm i -g vernclaw-connect-cli
vernclaw-cli login
vernclaw-cli list --json
vernclaw-cli invoke seo.google-trends --keywords "ai agent tools"
```
The default output is compact JSON so an agent or script can parse it reliably. The same active connectors can also be exposed individually through the remote MCP endpoint.
The part I care about most is control, not just connectivity. A connector can be globally disabled, disabled by ID, unavailable to an account until installed or authorized, or blocked when credits are unavailable. Calls still route through the same runtime and leave an activity/audit record.
For ChatGPT, this is a remote MCP connection for Developer Mode—not a claim that Vernclaw is already listed in the public app directory. Claude users can add it as a custom remote connector.
I’d love feedback on two things:
* Which agent workflow are you still rebuilding integration glue for?
* What information would you need before trusting an agent with a managed connector catalog?
Website: https://vernclaw.com/connectors
CLI: https://github.com/hekmon8/vernc...
honestly the workflow design here is really clean. one thing that would be a huge help though is adding a built-in cost tracker per invocation, since you're already handling billing logic. something like a `vernclaw invoke tool --estimate-cost` flag or a running tally per session would save a lot of guesswork when chaining multiple calls together.
About Vernclaw on Product Hunt
“Managed connectors for AI agents: CLI, MCP, audit trails”
Vernclaw was submitted on Product Hunt and earned 0 upvotes and 2 comments, placing #112 on the daily leaderboard. Vernclaw gives AI agents managed access to research, SEO, social, extraction, and generation tools—without building a separate auth, schema, billing, and logging layer for every provider. Use it from a JSON-first CLI, install its agent skills, or connect the same managed runtime through remote MCP. What makes it different: * A stable agent workflow: status → list --json → describe → invoke * Compact JSON output by default; --pretty is for humans
Vernclaw was featured in Productivity (656.2k followers), Marketing (466k followers) and SEO (37.9k followers) on Product Hunt. Together, these topics include over 232.5k products, making this a competitive space to launch in.
Who hunted Vernclaw?
Vernclaw was hunted by MrHkm. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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MrHkm