Pinecone MCP integration
Runs similarity searches and reranks results, upserts records with generated embeddings, provisions indexes and namespaces, and runs backups and imports.
30actions available
Three actions you can hand over today
Every action runs live through MCP. Nothing to build, nothing to maintain.
Search records in namespace
Ayro performs semantic search on a Pinecone namespace using text, vector, or ID queries to find relevant knowledge. The customer gets fast, ranked results with exact relevance to their question.
Upsert records to namespace
Ayro adds or updates text records in a Pinecone namespace in bulk. The knowledge base stays fresh and the agent can immediately reference the updated information.
Generate embeddings
Ayro converts text input into vector embeddings using Pinecone's hosted models. The vectors are ready for search or storage in the vector database.
How businesses use Pinecone + Ayro
Each card is one request a support team gets, and the Pinecone actions Ayro runs to close it.
Find the records that actually match the question
Ayro searches a namespace by text, vector, or record ID, queries an index directly with a query vector for the closest matches and their scores, then reranks the results by semantic relevance.
Search Records in NamespaceQuery VectorsRerank DocumentsGet new content into the index
Ayro upserts text records into a namespace with automatic text-to-vector conversion, generates embeddings through a hosted model when the vectors are needed directly, and overwrites a vector's values or metadata by ID.
Upsert Records to NamespaceGenerate EmbeddingsUpdate VectorProvision the index a workload needs
Ayro creates an index with the configuration you specify or with an integrated embedding model for automatic vectorisation, then carves out the namespaces that keep separate datasets isolated.
Create IndexCreate Index with Embedding ModelCreate NamespaceMove and protect data at index scale
Ayro takes a backup of an index for recovery or versioning, starts an asynchronous bulk import from object storage, and reports on the import's progress or cancels it if it is loading the wrong data.
Create BackupStart Bulk ImportDescribe Bulk Import
How it works
Get started in 3 steps
Connect once, then just ask. There is no workflow builder to learn and nothing to maintain — Ayro reads the Pinecone actions it has and picks the ones a request needs.
Connect Pinecone
Authorize the Pinecone account your team already uses — one consent screen, no API keys, no mapping tables. Ayro can only do what you granted that account, and you can disconnect it at any time.
Tell your agent what you need
Describe the job the way you would hand it to a teammate. Ayro maps it to the Pinecone actions that close it and chains as many as the request needs.
Watch it work
The agent runs the actions inside the conversation the customer is already in, so nobody copies data between tabs and your team can take over at any point.
Get started free
Pinecone · Ayro
What can you do in Pinecone without me setting anything up?
These, right away:
- Create backup
- Get model information
- Cancel bulk import
Great, let's start with the first one.
FAQ
Everything else about Pinecone
Setup, permissions, and the limits of what Ayro can do inside Pinecone.
Start Bulk Import pulls vectors asynchronously from object storage - S3, Google Cloud Storage, or Azure Blob Storage - into an index. Describe Bulk Import returns its status, progress, and timing while it runs, and Cancel Bulk Import stops an operation that has not finished yet.
Every action available in Pinecone
All 30 actions your agent can call on Pinecone, straight from the live MCP connection.
Cancel bulk import
Cancel a bulk import operation in Pinecone.
Configure index
Configure an existing Pinecone index, including pod type, replicas, deletion protection, and tags.
Create backup
Create a backup of a Pinecone index for disaster recovery and version control.
Create index
Create a Pinecone index with specified configuration.
Create index with embedding model
Create a Pinecone index with integrated embedding model for automatic vectorization.
Create index from backup
Create an index from a backup.
Create namespace
Create a namespace within a serverless Pinecone index.
Delete index
Permanently delete a Pinecone index.
Delete namespace
Permanently delete a namespace from a serverless index.
Describe backup
Retrieve detailed information about a specific backup.
Describe bulk import
Describe a specific bulk import operation in Pinecone.
Describe index stats
Get index statistics including vector count per namespace, dimensions, and fullness.
Describe restore job
Get detailed information about a specific restore job in Pinecone.
Generate embeddings
Generate vector embeddings for input text using Pinecone's hosted embedding models.
Get model information
Retrieve detailed information about a specific model hosted by Pinecone.
List bulk imports
List all recent and ongoing bulk import operations in Pinecone.
List collections
List all collections in a Pinecone project (pod-based indexes only).
List index backups
List all backups for a specific Pinecone index.
List indexes
List all indexes in a Pinecone project.
List available models
List all available embedding and reranking models hosted by Pinecone.
List namespaces
List all namespaces in a serverless Pinecone index.
List project backups
List all backups for indexes in a Pinecone project.
List restore jobs
List all restore jobs for a project with pagination support.
List vectors
List vector IDs in a Pinecone serverless index.
Query vectors
Perform semantic search within a Pinecone index using a query vector.
Rerank documents
Rerank documents by semantic relevance to a query.
Search records in namespace
Search records within a Pinecone namespace using text, vector, or ID query.
Start bulk import
Start an asynchronous bulk import of vectors from object storage (S3, GCS, or Azure Blob Storage) into a Pinecone index.
Update vector
Update a vector in Pinecone by ID.
Upsert records to namespace
Upsert text records into a Pinecone namespace.
The tools Pinecone sits next to
Same connection, same setup. Pick the next one your team already uses.
All images ai
Reports credit balance and key validity, lists automated and downloaded image batches, prunes old generations, and wires up print event webhooks.
Composio search
Answers off-catalog questions with live web, news, retail, travel, and maps results, then fetches the source page behind the answer.
Genderize
Estimates the gender most often associated with a first name, optionally scoped to a country code, from the name a workflow already holds.
Lmnt
Synthesizes speech in preset or custom voices, returns word-level timings for captions, and keeps the voice library and usage in check.
Rev AI
Submits recordings for transcription, returns transcripts and SRT or VTT captions, and maintains the custom vocabulary behind accuracy.
Textrazor
Classifies incoming text into taxonomy categories, extracts named entities with confidence scores, and maintains the classifiers behind both.
Ready to connect Pinecone?
Authorize the account and your agent has all 30 actions from the first conversation.