pinecone-query skillA
pinecone-query is agent-read markdown (skill) from pinecone-io/pinecone-cursor-plugin: Query integrated indexes using text with Pinecone MCP. IMPORTANT - This skill ONLY works with integrated indexes (indexes with built-in Pinecone embedding models like multilingual-e5-large). For standard indexes or advanced vector operations, use the pinecone-cli skill instead. Requires PINECONE_API_KEY environment variable and Pinecone MCP server to be configured..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Pinecone Query Skill Search for records in Pinecone integrated indexes using natural language text queries via the Pinecone MCP server. Whenever this skill asks the user to choose between options, confirm a destructive step, or pick from a list, ask in plain prose, list the options, and wait for their answer before continuing. ## What is this skill for? This skill provides a simple way to query **integrated indexes** (indexes with built-in Pinecone embedding models) using text queries. The MCP server automatically converts your text into embeddings and searches the index. ### Prerequisites **Required:** 1. ✅ **Pinecone MCP server must be configured** - Check if MCP tools are available 2. ✅ **PINECONE_API_KEY environment variable must be set** - Get a free API key at https://app.pinecone.io/?sessionType=signup 3. ✅ **Index must be an integrated index** - Uses Pinecone embedding models (e.g., multilingual-e5-large, llama-text-embed-v2, pinecone-sparse-english-v0) ### When NOT to use this skill **Use the pinecone-cli skill instead if:** - ❌ Your index is a standard index (no integrated embedding model) - ❌ You need to query with custom vector values (not text) …
Read the whole file at its exact version.
How to install
mdr add pinecone-io/pinecone-cursor-plugin/pinecone-query@git:20260811.3d6515emdr add pinecone-io/pinecone-cursor-plugin/pinecone-query@sha256:4d5303a95ba8b36ePin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_aqqc3gto3xfqdgg6)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260811.3d6515e latest | 2026-08-11 | 3d6515e | 5,067 B | A | view · diff |
| git:20260513.6f34a13 | 2026-05-13 | 6f34a13 | 4,812 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (5067 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
pinecone-io/pinecone-cursor-plugin · 2 stars · license MIT · pushed 2026-09-09 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_aqqc3gto3xfqdgg6 GET https://markdownregistry.com/api/v1/resolve?ref=pinecone-io/pinecone-cursor-plugin/pinecone-query GET https://markdownregistry.com/api/v1/blob/4d5303a95ba8b36ef7801c324e858e1ca58e72de56e7935f411bc4f5f11fe883
Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.