MCP100 Assessment

Editorial verdict

Manage and query Pinecone indexes and search Pinecone documentation.

Reviewed 2026-07-24 · Next review 2026-09-24

Task Fit

Mapped

Working with structured data

Trust

Status warning

maintenance_source_health; tool_contract; install_supply_chain; advisory_freshness

Maintenance

Activity observed

A dated repository or package update is available; editorial maintenance review is still pending.

Popularity

Signals available

Visible usage signals are shown for discovery only, not as proof of safety.

Best for

Manage and query Pinecone indexes and search Pinecone documentation.
Teams already using Pinecone that can test with non-sensitive data and least privilege.

Not ideal for

Users who need an MCP100-selected recommendation today
Unattended production workflows before permissions and failure behavior are reviewed

Avoid if

The connected data or account cannot be safely exposed to the selected AI client
You cannot verify least-privilege access and review write-capable tool calls

Trade-offs

First-party provenance and a clear task improve confidence, but do not replace an independent permissions and usability review.
Client transport compatibility does not prove that authentication, scopes, failure handling, and every tool behave safely.

Evidence scope

Evidence

Current source snapshot

Popularity

No MCP-specific repository metric is stored

2.1k package downloads

Stars observation date unavailable · Downloads observed 2026-07-29T17:30:00.000Z

No public repository is mapped to the reviewed MCP.

Exact implementation package metric.

Maintenance

Publisher activity observed 2026-02-05T22:54:50.537Z

Current source snapshot

Trust review

Source relationship: First-party MCP

Reviewed 2026-07-24 · Next review 2026-09-24

Package registry ↗Evidence source 2 ↗

Evidence-backed setup

Install & Agents

Choose your MCP client. A client connects to the MCP server; the language model is selected inside that client. Only stored, source-backed configurations are shown.

Claude Code

Local stdio

MCP100 logic checked

claude mcp add pinecone -e PINECONE_API_KEY="YOUR_API_KEY" -- npx "-y" "@pinecone-database/mcp"

The publisher connection details were combined with this client's official MCP transport configuration; installation was not executed by MCP100.

Verify safely: Restart Claude Code, confirm pinecone tools are listed, and perform one read-only test with non-sensitive data.

Uninstall and revoke

Remove pinecone from Claude Code, restart the client, remove any separately installed package, and revoke dedicated credentials if used.

Evidence & methodology

Publisher-documented setup is not the same as MCP100 execution testing. “MCP100 logic checked” means the stored configuration shape was reviewed, not that third-party MCP software was run.

Evidence checked 2026-07-24

Evidence 1 ↗Evidence 2 ↗

Loading optional publisher installation details…

Show source-catalog configuration

npx -y @pinecone-database/mcp@0.2.1

Capability

What it does

Manage and query Pinecone indexes and search Pinecone documentation.

Data & DatabasesEducation & ResearchSoftware & Technology

Representative uses

Manage and query Pinecone indexes and search Pinecone documentation.
Teams already using Pinecone that can test with non-sensitive data and least privilege.

Important limits

Users who need an MCP100-selected recommendation today
Unattended production workflows before permissions and failure behavior are reviewed

Tools9 toolsView tools

search-docs
Search the official Pinecone documentation.
list-indexes
List Pinecone indexes in the project.
describe-index
Get the configuration of a Pinecone index.
describe-index-stats
Get index statistics such as record counts and namespaces.
create-index-for-model
Create an index configured for an integrated inference model.
upsert-records
Insert or update records in an integrated-inference index.
search-records
Search records in an integrated-inference index from a text query.
cascading-search
Search across multiple indexes, then deduplicate and rerank results.
rerank-documents
Rerank supplied documents with a Pinecone reranking model.

Current official server registers nine tools.

Source: Official source

Context Footprint

~1.8K estimated schema tokens

Context impact: Low

Estimated token footprint of the MCP tool schemas exposed to the agent.

Approx. estimate

Approximate schema-token reference, not runtime measurement.

Reviewed access

Access & risk

Review the exact access boundary before connecting this MCP to accounts, credentials, or sensitive data.

Authentication: Authentication follows the publisher's documented endpoint or local-server configuration. OAuth scopes, API-key handling, and revocation behavior remain review items.
Permissions: Exact permissions and the read/write boundary have not yet completed MCP100 independent review; consult the linked publisher sources and use the narrowest available scope.
Data handling: Publisher-accessible account or application data may be returned to the MCP client and its selected model. Retention and subprocess behavior require candidate-specific review.
Cost: No MCP100 cost conclusion is published yet. The publisher's account plan, API usage, infrastructure, or per-action charges may apply.
Risk and cautions: Use a test workspace or non-production account, least privilege, read-only controls where available, explicit approval for mutations, and credential revocation after evaluation.

Related reviewed MCPs

Other options

Google MCP Toolbox for Databases

MCP100 Selected

Connect MCP clients to enterprise databases with prebuilt or explicitly defined tools.

Choose this instead if

Choose Google MCP Toolbox for Databases instead if schema exploration and database-aware coding in development environments.

Connect MCP clients to enterprise databases with prebuilt or explicitly defined tools.

Compare with Pinecone MCP View Google MCP Toolbox for Databases details

Redis MCP

MCP100 Selected

Manage and search Redis data through Redis's MCP server.

Choose this instead if

Choose Redis MCP instead if inspecting and manipulating Redis strings, hashes, lists, sets, sorted sets, streams, JSON, and search indexes.

Manage and search Redis data through Redis's MCP server.

Compare with Pinecone MCP View Redis MCP details

Supabase MCP

MCP100 Selected

Connect AI tools to Supabase projects and development workflows.

Choose this instead if

Choose Supabase MCP instead if inspecting one Supabase project's schema, logs, advisors, and docs.

Connect AI tools to Supabase projects and development workflows.

Compare with Pinecone MCP View Supabase MCP details

Read publisher documentation

Publisher documentation

Official Docs

Original product, capability, tool, and usage documentation from the MCP publisher. Installation sections appear under Install & Agents.

View original documentation ↗

Title: Just a moment...

URL Source: https://www.npmjs.com/package/@pinecone-database/mcp

Warning: Target URL returned error 403: Forbidden Warning: This page maybe not yet fully loaded, consider explicitly specify a timeout.

Markdown Content: Enable JavaScript and cookies to continue

Loading optional publisher documentation…

FAQ

What can Pinecone MCP do?

MCP100's current stored description says: Manage and query Pinecone indexes and search Pinecone documentation.

Can Pinecone MCP create, query, or manage indexes?

MCP100's current stored permissions review says: Exact permissions and the read/write boundary have not yet completed MCP100 independent review; consult the linked publisher sources and use the narrowest available scope.

Does Pinecone MCP work with Codex?

Yes. MCP100 found MCP100 logic checked setup for Codex. The current reviewed evidence also documents setup for Claude Code, Claude Desktop, VS Code, Cursor, and OpenCode. This reflects setup evidence, not an MCP100 execution test or a guarantee that a current client will connect.

Is this an official MCP?

Pinecone is listed as First-party MCP in MCP100’s current evidence.

Current official resources:

Publisher documentation ↗