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Docker curated MCP registry entry
Pinecone Assistant 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 Pinecone Assistant to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
docker run -i --rm mcp/pineconeReview the upstream source before running this command.
{
"raw": "name: pinecone\nimage: mcp/pinecone\ntype: server\nmeta:\n category: database\n tags:\n - database\n - machine-learning\nabout:\n title: Pinecone Assistant\n icon: https://avatars.githubusercontent.com/u/54333248?v=4\nsource:\n project: https://github.com/pinecone-io/assistant-mcp\n commit: 7e32e35c20fe3f79d2504d4371f28e1b1eb34009\nconfig:\n description: Configure the connection to Pinecone Assistant\n secrets:\n - name: pinecone.api_key\n env: PINECONE_API_KEY\n example: <YOUR_PINECONE_API_KEY_HERE>\n env:\n - name: PINECONE_ASSISTANT_HOST\n example: <YOUR_PINECONE_ASSISTANT_HOST_HERE>\n value: \"{{pinecone.assistant_host}}\"\n parameters:\n type: object\n properties:\n assistant_host:\n type: string\n",
"path": "servers/pinecone/server.yaml"
}