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@cotal-ai/connector-core

Skill Development Usable
Works inClaude Code
Usable Scanned — metadata only

Provides the foundational runtime that enables Cotal connectors to communicate across distributed agents and tools, reducing integration complexity and laten…

Shared MCP-bridge runtime for Cotal connectors: the mesh agent, cotal_* tools, and hook relay.

274 starsApache-2.0 (commercial OK)FreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Provides the foundational runtime that enables Cotal connectors to communicate across distributed agents and tools, reducing integration complexity and latency in multi-service architectures.

Platform teams building or managing Cotal-based agent meshes needing standardized connector infrastructure.

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https://www.npmjs.com/package/@cotal-ai/connector-core

By GitHub Actions

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
npx @cotal-ai/connector-core

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

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Trust Signals Auto-scanned

Stars274Contributors23Last updated2026-09-11LicenseApache-2.0 (OK for commercial use)Weekly downloads2,228Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-09-11 · scanner v1

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 257 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
3/5
Reliability
3/5
Security
3/5
Overall score3.00 / 5.00 UsableEvaluatedSep 2026
Scored from trust signals (evidence-eval-v1): 257 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

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