Loading…
Docker curated MCP registry entry
Audiense Insights is an MCP server entry in ChatHome Skills, sourced from Docker MCP Registry and scored 86/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding Audiense Insights to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
docker run -i --rm mcp/audiense-insightsReview the upstream source before running this command.
{
"raw": "name: audiense-insights\nimage: mcp/audiense-insights\ntype: server\nmeta:\n category: devops\n tags:\n - audiense-insights\n - devops\nabout:\n title: Audiense Insights\n icon: https://avatars.githubusercontent.com/u/2454008?s=200&v=4\nsource:\n project: https://github.com/AudienseCo/mcp-audiense-insights\n commit: f18ffa6ddf944769f3c95944281f752bf6369fa5\nconfig:\n description: Configure the connection to Audiense Insights\n secrets:\n - name: audiense-insights.client_secret\n env: AUDIENSE_CLIENT_SECRET\n example: your_client_secret_here\n - name: audiense-insights.twitter_bearer_token\n env: TWITTER_BEARER_TOKEN\n example: your_token_here\n env:\n - name: AUDIENSE_CLIENT_ID\n example: your_client_id_here\n value: \"{{audiense-insights.client_id}}\"\n parameters:\n type: object\n properties:\n client_id:\n type: string\n required:\n - client_id\n",
"path": "servers/audiense-insights/server.yaml"
}