Skip to content
verify mcp Beta VerifyMCP is currently in beta. If you notice any issues, get in touch and we’ll put it right.

com.mcparmory/pinecone

OCI · GHCR.IO/MCPARMORY/PINECONE:1.0.2 · 2 COMPONENTS · SCANNED SEP 20

Create and manage vector database indexes, backups, and collections

0 this week 49 Trust /100
Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →

Supply Chain Security0
  • Malware scan not yet available for this package.Unverified
  • Known CVEs could not be checked: this artifact ships no SBOM, so there is no dependency list to read. Publishing one would let us assess it.Unverified
  • Install-script risk not yet assessed.Unverified
  • Dependency health could not be checked: this artifact ships no SBOM, so there is no dependency list to read. Publishing one would let us assess it.Unverified
Provenance & Transparency32
Schema Quality & AI Usability72
  • AI-judged instruction clarity (excellent).Pass
  • Context-footprint check failed: tool/resource definitions use about 2873 tokens (~159/item across 18 items; 18 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management80
  • Stability observed for 24 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • All 3 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation.Pass
  • An AI judge read all 18 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass

Unverified: 1 category

A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.

Install

How do I install the com.mcparmory/pinecone MCP server?

com.mcparmory/pinecone runs locally as a container image, launched with docker run --rm -i ghcr.io/mcparmory/pinecone:1.0.2. Ready-made configuration for Claude, Cursor, VS Code, Codex and 3 more is on this page, copied from each client's own documentation.

oci · ghcr.io/mcparmory/pinecone:1.0.2

# add to Claude Code
claude mcp add com-mcparmory-pinecone -- docker run --rm -i ghcr.io/mcparmory/pinecone:1.0.2
// .cursor/mcp.json
{
  "mcpServers": {
    "com-mcparmory-pinecone": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "ghcr.io/mcparmory/pinecone:1.0.2"
      ]
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "com-mcparmory-pinecone": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "ghcr.io/mcparmory/pinecone:1.0.2"
      ]
    }
  }
}
# add to Codex CLI
codex mcp add com-mcparmory-pinecone -- docker run --rm -i ghcr.io/mcparmory/pinecone:1.0.2
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "com-mcparmory-pinecone": {
      "type": "local",
      "command": [
        "docker",
        "run",
        "--rm",
        "-i",
        "ghcr.io/mcparmory/pinecone:1.0.2"
      ],
      "enabled": true
    }
  }
}
# ~/.hermes/config.yaml
mcp_servers:
  com-mcparmory-pinecone:
    command: "docker"
    args: ["run", "--rm", "-i", "ghcr.io/mcparmory/pinecone:1.0.2"]
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "com-mcparmory-pinecone": {
      "Transport": "stdio",
      "Command": "docker",
      "Arguments": [
        "run",
        "--rm",
        "-i",
        "ghcr.io/mcparmory/pinecone:1.0.2"
      ]
    }
  }
}
// mcp.json
{
  "mcpServers": {
    "com-mcparmory-pinecone": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "ghcr.io/mcparmory/pinecone:1.0.2"
      ]
    }
  }
}
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 20 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 77 to 80. That category is still filling its 30-day observation window: 23 days of observed history at the previous scan, 24 at this one. The score rises as the window fills, whether or not the server changes.

  • 19 Sept 26 −3
    • Stability: pass → 0.77 functional
  • 18 Sept 26 0
    • Stability: 0.97 → pass security
  • 17 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.

  • 14 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.

  • 12 Sept 26 −2
    • Stability: pass → 0.80 functional
  • 11 Sept 26 0
    • Stability: 0.97 → pass security
  • 10 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 20 Sept 2026 · Analysed oci/ghcr.io/mcparmory/pinecone:1.0.2

Provenance No attestation

The registry publishes no build provenance for this version, so there is nothing to verify.

Result No attestation
Ecosystem oci
Reason No attestation published

Background: How many MCP packages publish verified provenance →

MCP tools · 18 exposed · ~2,873 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
create_backup ~161

Create a backup of a Pinecone index to preserve its current state. Backups can be named and described for easy identification and management.

NameTypeReqDescription
X-Pinecone-Api-VersionstringyesThe API version specified as a date-based header (required for all requests). Use the default version 2026-04 unless you need a specific earlier version.
descriptionstringAn optional description of the backup. Use this to document the purpose or context of the backup for future reference.
index_namestringyesThe name of the index to back up. This identifies which index will be backed up.
namestringAn optional name for the backup. If provided, this will be used to identify the backup in your backup list.

No output schema declared.

No examples provided.

create_collection ~158

Create a new collection in Pinecone by specifying a name and source index. Collections allow you to organize and manage data within an index (note: serverless indexes do not support collections).

NameTypeReqDescription
X-Pinecone-Api-VersionstringyesAPI version specified as a date-based header in YYYY-MM format. Defaults to 2026-04 if not provided.
namestringyesThe name for the new collection. Must be 1-45 characters long, start and end with an alphanumeric character, and contain only lowercase alphanumeric characters or hyphens.
sourcestringyesThe name of an existing index to use as the source for this collection. The source index will provide the data and configuration for the collection.

No output schema declared.

No examples provided.

create_index ~356

Create a new Pinecone index by specifying vector dimensions, similarity metric, deployment configuration, and optional metadata. This establishes the foundation for storing and searching vectors.

NameTypeReqDescription
X-Pinecone-Api-VersionstringyesAPI version identifier in date format (e.g., 2026-04). Required for all requests to ensure compatibility.
deletion_protectionstringEnable or disable deletion protection for the index. When enabled, prevents accidental index removal. Defaults to disabled.
dimensionstringNumber of dimensions for vectors stored in this index (1-20,000). Required for dense vector types. Omit for sparse vectors.
metricstringDistance metric for similarity calculations: 'cosine' (default for dense vectors), 'euclidean', or 'dotproduct' (required for sparse vectors).
namestringyesUnique name for the index (1-45 characters). Must start and end with an alphanumeric character and contain only lowercase letters, numbers, or hyphens.
specyesDeployment configuration specifying where and how the index runs. For serverless indexes, provide cloud provider and region. For pod-based indexes, specify environment, pod type, and pod size.
tagsobjectOptional custom metadata tags for organizing and identifying the index. Keys up to 80 characters (alphanumeric, underscore, hyphen); values up to 120 characters (alphanumeric, semicolon, at-sign, und…
vector_typestringVector type for the index: 'dense' (default, requires dimension specification) or 'sparse' (omit dimension specification).

No output schema declared.

No examples provided.

create_index_for_model ~455

Create a vector search index with integrated embedding capabilities. Pinecone automatically converts your source text using the specified hosted embedding model during data operations, eliminating the need for separate embedding infrastructure.

NameTypeReqDescription
X-Pinecone-Api-VersionstringyesAPI version identifier in date format (required header for all requests).
cloudstringyesCloud provider where the index will be hosted: AWS, Google Cloud, or Azure.
deletion_protectionstringEnable or disable deletion protection to prevent accidental index removal. Defaults to disabled if not specified.
dimensionintegerOptional vector dimension size for embeddings. If not specified, the dimension is automatically determined by the selected embedding model.
field_mapobjectyesMapping that identifies which text field from your documents will be embedded. Specify the source field name that contains the text to vectorize.
fieldsobjectyesConfiguration map defining metadata field names and their types. Each field name must be unique and follow valid metadata field naming conventions.
metricstringDistance metric for similarity search operations: cosine, euclidean, or dotproduct. If omitted, defaults based on the selected embedding model. Cannot be changed after index creation.
modelstringyesName of the hosted embedding model to use for automatic text vectorization (e.g., multilingual-e5-large). The model determines default vector dimensions and distance metrics.
namestringyesUnique name for the index. Must be 1-45 characters, start and end with alphanumeric characters, and contain only lowercase letters, numbers, or hyphens.
read_capacityOptional capacity configuration for read operations. Defaults to OnDemand mode; specify Dedicated mode with node_type and scaling parameters for predictable, reserved throughput.
regionstringyesGeographic region for index deployment (e.g., us-east-1, europe-west1). Must be a valid region for your chosen cloud provider.
tagsobjectOptional custom key-value tags for organizing and identifying the index. Keys up to 80 characters, values up to 120 characters. Keys must be alphanumeric with underscores or hyphens; values support a…

No output schema declared.

No examples provided.

create_index_from_backup ~275

Create a new index by restoring data from an existing backup. The new index will be initialized with the backup's configuration and data.

NameTypeReqDescription
X-Pinecone-Api-VersionstringyesAPI version specified as a date string in YYYY-MM format (e.g., 2026-04). This header is required to ensure compatibility with the API version.
backup_idstringyesThe unique identifier of the backup to restore from, formatted as a UUID.
deletion_protectionstringOptional setting to prevent accidental deletion of the index. Set to 'enabled' to protect the index or 'disabled' (default) to allow deletion.
namestringyesThe name for the new index. Must be 1-45 characters long, start and end with an alphanumeric character, and contain only lowercase letters, numbers, or hyphens.
tagsobjectOptional custom metadata tags for organizing and identifying the index. Tag keys can be up to 80 characters and must contain only alphanumeric characters, underscores, or hyphens. Tag values can be u…

No output schema declared.

No examples provided.

delete_backup ~83

Permanently delete a backup by its ID. This operation removes the backup and cannot be undone.

NameTypeReqDescription
X-Pinecone-Api-VersionstringyesAPI version specified as a date string in YYYY-MM format (defaults to 2026-04 if not provided).
backup_idstringyesThe unique identifier of the backup to delete, formatted as a UUID.

No output schema declared.

No examples provided.

delete_collection ~106

Permanently delete an existing collection and all its data. Note that serverless indexes do not support collections.

NameTypeReqDescription
X-Pinecone-Api-VersionstringyesRequired API version header in date-based format (defaults to 2026-04). This ensures the request is processed with the correct API specification.
collection_namestringyesThe name of the collection to delete (e.g., 'test-collection'). This is a required identifier that specifies which collection will be removed.

No output schema declared.

No examples provided.

delete_index ~92

Permanently delete an existing index and all its data. This operation cannot be undone.

NameTypeReqDescription
X-Pinecone-Api-VersionstringyesAPI version specified as a date string in YYYY-MM format (defaults to 2026-04). Required header for request routing.
index_namestringyesThe name of the index to delete (e.g., 'test-index'). Must match an existing index exactly.

No output schema declared.

No examples provided.

get_backup ~111

Retrieve detailed information about a specific backup by its ID. Returns the backup's metadata and configuration.

NameTypeReqDescription
X-Pinecone-Api-VersionstringyesAPI version specified as a date-based header to ensure compatibility with the Pinecone API. Defaults to 2026-04 if not provided.
backup_idstringyesThe unique identifier of the backup to retrieve, formatted as a UUID (e.g., 670e8400-e29b-41d4-a716-446655440000).

No output schema declared.

No examples provided.

get_collection ~90

Retrieve detailed metadata and configuration information about a specific collection. Note that serverless indexes do not support collections.

NameTypeReqDescription
X-Pinecone-Api-VersionstringyesAPI version specified as a date-based header in YYYY-MM format (defaults to 2026-04 if not provided).
collection_namestringyesThe name of the collection to retrieve information about (e.g., 'tiny-collection').

No output schema declared.

No examples provided.

get_index ~112

Retrieve detailed metadata and configuration information about a specific index, including its dimensions, metric type, and current status.

NameTypeReqDescription
X-Pinecone-Api-VersionstringyesAPI version specified as a date in YYYY-MM format. Defaults to 2026-04 if not provided; include this header to ensure compatibility with a specific API version.
index_namestringyesThe name of the index to retrieve. Use the exact index name as it appears in your Pinecone project (e.g., 'test-index').

No output schema declared.

No examples provided.

get_restore_job ~112

Retrieve detailed information about a specific restore job, including its status, progress, and configuration.

NameTypeReqDescription
X-Pinecone-Api-VersionstringyesAPI version specified as a date-based header to ensure compatibility with the Pinecone API. Defaults to 2026-04 if not provided.
job_idstringyesThe unique identifier of the restore job to retrieve, formatted as a UUID (e.g., 670e8400-e29b-41d4-a716-446655440000).

No output schema declared.

No examples provided.

list_collections ~62

Retrieve all collections in a project. Note that serverless indexes do not support collections.

NameTypeReqDescription
X-Pinecone-Api-VersionstringyesAPI version specified as a date string in YYYY-MM format. Required for all requests to ensure compatibility with the API specification.

No output schema declared.

No examples provided.

list_index_backups ~137

Retrieve all backups for a specified index with pagination support. Use pagination tokens to navigate through large result sets.

NameTypeReqDescription
X-Pinecone-Api-VersionstringyesAPI version specified as a date string in YYYY-MM format (defaults to 2026-04). Required for request routing.
index_namestringyesThe name of the index for which to list backups.
limitintegerMaximum number of backup results to return per page. Must be between 1 and 100 (defaults to 10).
paginationTokenstringPagination token from a previous response to retrieve the next page of results.

No output schema declared.

No examples provided.

list_indexes ~68

Retrieve all indexes in the current project. Returns a list of index configurations and metadata.

NameTypeReqDescription
X-Pinecone-Api-VersionstringyesAPI version specified as a date string in YYYY-MM format. Required for request routing and response formatting. Defaults to 2026-04 if not provided.

No output schema declared.

No examples provided.

list_project_backups ~118

Retrieve all backups for indexes in a project with optional pagination. Use pagination tokens to navigate through large result sets.

NameTypeReqDescription
X-Pinecone-Api-VersionstringyesAPI version specified as a date-based string (defaults to 2026-04). Required header for API compatibility.
limitintegerMaximum number of backups to return per page, between 1 and 100. Defaults to 10 results per page.
paginationTokenstringPagination token from a previous response to retrieve the next page of results.

No output schema declared.

No examples provided.

list_restore_jobs ~128

Retrieve a paginated list of all restore jobs for the project. Use pagination tokens to navigate through results.

NameTypeReqDescription
X-Pinecone-Api-VersionstringyesAPI version specified as a date string in YYYY-MM format. Required for all requests. Defaults to 2026-04.
limitintegerMaximum number of restore jobs to return per page, between 1 and 100 results. Defaults to 10 if not specified.
paginationTokenstringPagination token from a previous response to retrieve the next page of restore jobs. Omit for the first page.

No output schema declared.

No examples provided.

update_index ~249

Update configuration settings for an existing index, including scaling parameters, deletion protection, and custom tags. Only scaling and configuration attributes can be modified; the index's cloud provider and region cannot be changed.

NameTypeReqDescription
X-Pinecone-Api-VersionstringyesRequired API version header in date-based format (defaults to 2026-04).
deletion_protectionstringEnable or disable deletion protection for the index to prevent accidental removal. Defaults to disabled.
index_namestringyesThe name of the index to configure (e.g., 'test-index').
specThe deployment specification for the index. Defines how the index is scaled and configured. Only modifiable attributes related to scaling and configuration are supported; cloud provider and region ar…
tagsobjectCustom key-value tags for organizing and labeling the index. Keys must be 80 characters or fewer and contain only alphanumeric characters, underscores, or hyphens. Values must be 120 characters or fe…

No output schema declared.

No examples provided.

Common questions

What is the com.mcparmory/pinecone MCP server?

com.mcparmory/pinecone is an MCP server listed in the public MCP registry as com.mcparmory/pinecone. Create and manage vector database indexes, backups, and collections. This page covers its container image (ghcr.io/mcparmory/pinecone:1.0.2).

Is the com.mcparmory/pinecone MCP server safe to use?

com.mcparmory/pinecone scores 49 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the com.mcparmory/pinecone MCP server expose?

com.mcparmory/pinecone exposes 18 tools: list_indexes, create_index, get_index, update_index, delete_index, and 13 more. Their descriptions and schemas cost roughly 2,873 tokens of context every time the server is loaded.

Is the com.mcparmory/pinecone MCP server still maintained?

com.mcparmory/pinecone is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.