cognigy

What cognigy does, in the publisher's words

From the project README, punctuation lightly normalized · Open the README on GitHub →

Links

• github.com/Cognigy/cognigy-plugin
• https://www.cognigy.com
• plugin/plugin.json (manifest)

Skills · 16

a2a-setup

agent-creation

Use when the user wants to build, create, or set up a new Cognigy AI Agent from scratch, covers listing projects, ensuring an LLM exists, creating the agent, testing it, and refining persona/job fields.

agent-red-team

Use when the user wants to red-team, adversarially test, jailbreak-test, or probe the guardrails of a Cognigy AI Agent, covers scoping consent, deriving the agent's policy surface from its config, generating targeted probes, scoring verdicts, and producing a standardised findings report.

docs-lookup

Use when the user asks how a Cognigy.AI feature, node, endpoint, setting, or concept works, asks for Cognigy documentation, best practices, or release/version behavior, or when you are unsure of platform behavior or valid configuration values and need to consult the official docs before answering o…

flow-nodes

Use when adding custom logic inside a Cognigy tool branch with manage_flow_nodes, or when rendering/visualizing a flow as a diagram, supported node types, config schemas, placement rules, the tool-first workflow, and the render operation.

knowledge-setup

Use when the user wants to add knowledge, RAG, or a knowledge store/source to a Cognigy agent, covers embedding vs Knowledge Search models, Knowledge AI settings, ingesting sources, and attaching knowledge as a tool.

llm-providers

Use when configuring or choosing an LLM for a Cognigy agent, valid provider names (openAI, anthropic, azureOpenAI, google, mistral, openAICompatible, awsBedrock), model strings, connection types, credential resolution, OpenAI-compatible endpoints (vLLM, Hugging Face, LiteLLM, Azure AI Foundry, self…

package-management

Use when exporting, importing, uploading, inspecting, or downloading Cognigy package zip files, including reusing an LLM plus its connection across projects.

settings

Use when configuring project-level Cognigy settings: voice preview / speech provider configuration and Knowledge AI settings.

snapshot-backups

Use when backing up a Cognigy project before changing an existing AI Agent, rolling a project back to a previous state, undoing agent changes, or working with Cognigy Snapshots, create, restore, list, delete.

tools-setup

Use when creating or configuring Cognigy agent tools, choosing the tool type (tool, http, mcp, knowledge, send_email) and their configuration schemas.

troubleshooting

Use when a Cognigy agent returns empty responses, a tool call or create_ai_agent fails, a resource is not found, setup_llm fails, or you need to diagnose a Cognigy MCP problem.

voice-gateway-setup

Use when the user wants to set up a voice agent or a Voice Gateway endpoint with WebRTC for browser-based voice interaction.

voice-go-live-checklist

webchat-setup

xapps

Descriptions come from the frontmatter of each SKILL.md, punctuation lightly normalized.

MCP servers · 2

docsstreamable-http

https://docs.cognigy.com/mcp

platformstdio

npx -y -p cognigy-engine@npm:@cognigy/plugin-engine@1.19.0 cognigy-mcp

Read from the plugin's own mcp.json. We list environment variable names, never values.

Category

Other. Assigned by this directory. Agent Plugins 1.0.0 has no category field, so no manifest declares one.

Keywords

cognigy · ai-agents · conversational-ai · mcp · llm

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