--- title: "Pinecone MCP: review, setup & limitations · Undominated.ai" canonical: https://undominated.ai/mcp-servers/pinecone/ description: "Search Pinecone documentation and manage or query indexes that use integrated embeddings." --- # Pinecone MCP: review, setup & limitations · Undominated.ai > Search Pinecone documentation and manage or query indexes that use integrated embeddings. [← Explore all mcp servers](/mcp-servers/) VECTOR DATA MANAGEMENT / Pinecone # Pinecone MCP Search Pinecone documentation and manage or query indexes that use integrated embeddings. See setup guidance ↓Original source ↗ SOURCE REVIEW Reviewed 2026-09-21 Evidence 7 linked sources Publisher Pinecone Licence Apache-2.0 ↗ Revision a15d4b9ebc2e Read what was—and wasn’t—checked ↓ “The Pinecone Developer MCP Server allows you to connect these tools with Pinecone projects and documentation.” Pinecone · upstream description ↗ Our analysis follows below. 01 / THE REASONING ## Why this made the selection. - Combines Pinecone-specific documentation with index inspection and data operations. - Cascading search and reranking support retrieval across suitable Pinecone indexes. ### A good fit for - Prototype retrieval over integrated-embedding indexes. - Inspect an index and upsert text records from an agent. ### Weigh up before choosing - The official guide limits this server to integrated-embedding indexes; externally embedded vector indexes are not supported. - Creating indexes and upserting records modifies account data. It is distinct from an individual Pinecone Assistant’s MCP endpoint. 02 / THE REVIEW RECORD ## What we actually inspected. Source review has boundaries. A clear record is more useful than a “safe” badge. ### Material inspected - Pinecone official MCP guide and pinned README. - package.json, src/index.ts, src/server.ts, database tool registration and upsert implementation. - Apache licence. ### Our findings - The published Node package starts a stdio server and uses PINECONE_API_KEY. - Index creation and upsert are registered beside read/search tools; an API key is an operational credential, not a docs-only login. ### Not established by this review - Server launch, authenticated tool calls, and release-to-source parity were not tested. The review applies to the material and revision named here. A newer upstream release can change its behavior. 03 / PUT IT TO WORK ## Connect a server deliberately. Upstream setup instructions ↗ DOCUMENTED COMMAND npx -y @pinecone-database/mcp Copy command ↗ Copying does not execute this command. It may retrieve a newer version than the reviewed source. - Install Node.js and configure the documented npx command and package in your client. - Supply PINECONE_API_KEY using the client’s secret/environment settings rather than committing it to a project. - Use an index with integrated embeddings and review creation/upsert calls. ### Before you start - Node.js with npx. - A Pinecone account, API key and a supported integrated-embedding index for data operations; documentation search works without an API key. ### Compatibility Claude Code · Claude Desktop · Cursor · Antigravity ### Implementation TypeScript ### Transports stdio ### Local process; API key for data operations - Calls Pinecone services to read index information, query/rerank records, create indexes and upsert records. - Sends provided queries and records to Pinecone. ### Cost model Pinecone database, inference and reranking usage follow your service plan; model-client costs are separate. 04 / FOLLOW THE EVIDENCE ## The source trail. Our notes are separate from the original resource. Check upstream before adopting a new version. - Pinecone MCP setup and scope ↗ Checked 2026-09-21 https://raw.githubusercontent.com/pinecone-io/pinecone-mcp/a15d4b9ebc2e81ef35586218bdcde63c49c1bd9c/README.md Supports: summary, upstreamDescription, whySelected, bestFor, limitations, install, access, compatibility, transports, review - Pinecone current official compatibility boundary ↗ Checked 2026-09-21 https://docs.pinecone.io/guides/operations/mcp-server Supports: limitations, install, access, compatibility - Pinecone package manifest ↗ Checked 2026-09-21 https://raw.githubusercontent.com/pinecone-io/pinecone-mcp/a15d4b9ebc2e81ef35586218bdcde63c49c1bd9c/package.json Supports: language, install - Pinecone stdio server ↗ Checked 2026-09-21 https://raw.githubusercontent.com/pinecone-io/pinecone-mcp/a15d4b9ebc2e81ef35586218bdcde63c49c1bd9c/src/server.ts Supports: review, transports - Pinecone tool registration ↗ Checked 2026-09-21 https://raw.githubusercontent.com/pinecone-io/pinecone-mcp/a15d4b9ebc2e81ef35586218bdcde63c49c1bd9c/src/tools/database/index.ts Supports: review, access - Pinecone upsert implementation ↗ Checked 2026-09-21 https://raw.githubusercontent.com/pinecone-io/pinecone-mcp/a15d4b9ebc2e81ef35586218bdcde63c49c1bd9c/src/tools/database/upsert-records.ts Supports: review, access - Pinecone Apache licence ↗ Checked 2026-09-21 https://raw.githubusercontent.com/pinecone-io/pinecone-mcp/a15d4b9ebc2e81ef35586218bdcde63c49c1bd9c/LICENSE Supports: license KEEP COMPARING ## Other approaches to consider. Related by category or shared topics. These are alternatives to inspect, not a measured quality order. [### Weaviate built-in MCP ↗ Inspect collections, search vector and keyword data, and optionally upsert objects through Weaviate’s built-in MCP endpoint.](/mcp-servers/weaviate/)[### Chroma MCP ↗ Lets an assistant create and query Chroma collections through local, HTTP or Chroma Cloud database connections.](/mcp-servers/chroma/)[### Context7 MCP ↗ Resolves a library identity and retrieves documentation relevant to a specific coding question through Context7's hosted index.](/mcp-servers/context7/) [AI Tools ↗](/tools/)[Skills ↗](/skills/)[Agents ↗](/agents/)[MCP Servers ↗](/mcp-servers/)