OAUTH2
pinecone_oauth
Developer setup
- Client idclient_id · stringRequired
- Client secretclient_secret · stringRequired
- Redirect URIoauth_redirect_uri · stringOptional
- Scopesscopes · stringOptional
User connection
No fields declared in this snapshot.
PINECONE
Long-term Memory for AI. The Pinecone vector database makes it easy to build high-performance vector search applications. Developer-friendly, fully managed, and easily scalable without infrastructure hassles.
Description is untrusted, display-only upstream metadata. It never becomes policy, OAuth scope authority, or an agent instruction.
Pakkawork boundary
Research catalogue metadata only. No Pakkawork OAuth, credential, host, quota, executor, or verifier is enabled.
48
Action summaries
Display-only definitions
0
Trigger types
Not installed instances
2
Auth modes
Field names, never values
No
Execution
No runtime adapter
Authentication map
OAUTH2
No fields declared in this snapshot.
API_KEY
No fields declared in this snapshot.
Capability index
Showing 1–30 of 48 actions
PINECONE_CANCEL_BULK_IMPORT
Tool to cancel a bulk import operation in Pinecone. Use when you need to stop an ongoing import operation that is not yet finished.
Untrusted display-only summary
PINECONE_CHAT_ASSISTANT
Tool to chat with a Pinecone assistant and get structured responses with citations. Use when you need to query an assistant that has access to your knowledge base and want to get back answers with document references and citations.
Untrusted display-only summary
PINECONE_CHAT_COMPLETION_ASSISTANT
Tool to chat with a Pinecone assistant through an OpenAI-compatible interface. Use when you need to interact with a Pinecone assistant that has access to indexed documents and can answer questions based on retrieved context.
Untrusted display-only summary
PINECONE_CONFIGURE_INDEX
Tool to configure an existing Pinecone index, including pod type, replicas, deletion protection, and tags. Use when you need to scale an index vertically or horizontally, enable/disable deletion protection, or update tags. The change is asynchronous; check index status for completion.
Untrusted display-only summary
PINECONE_CREATE_ASSISTANT
Tool to create a new Pinecone assistant for RAG (Retrieval-Augmented Generation) applications. Use when you need to initialize a new assistant that can have files uploaded and support chat interactions.
Untrusted display-only summary
PINECONE_CREATE_BACKUP
Tool to create a backup of a Pinecone index for disaster recovery and version control. Use when you need to preserve the current state of an index including vectors, metadata, and configuration.
Untrusted display-only summary
PINECONE_CREATE_INDEX
Tool to create a Pinecone index with specified configuration. Use when you need to initialize a new vector database index for storing and querying embeddings.
Untrusted display-only summary
PINECONE_CREATE_INDEX_FOR_MODEL
Tool to create a Pinecone index with integrated embedding model for automatic vectorization. Use when you need to set up a new index that automatically converts text to vectors using a pre-configured embedding model.
Untrusted display-only summary
PINECONE_CREATE_INDEX_FROM_BACKUP
Tool to create an index from a backup. Use when you need to restore or duplicate index data from a previously saved backup.
Untrusted display-only summary
PINECONE_CREATE_NAMESPACE
Tool to create a namespace within a serverless Pinecone index. Use when you need to organize vectors into isolated partitions.
Untrusted display-only summary
PINECONE_DELETE_ASSISTANT
Tool to permanently delete a Pinecone assistant. Use when you need to remove an assistant from your project.
Untrusted display-only summary
PINECONE_DELETE_BACKUP
Tool to delete a backup. Use when you need to permanently remove a backup from your project.
Untrusted display-only summary
PINECONE_DELETE_FILE
Tool to delete an uploaded file from a Pinecone assistant. Use when you need to remove a file that was previously uploaded to an assistant.
Untrusted display-only summary
PINECONE_DELETE_INDEX
Tool to permanently delete a Pinecone index. Use when you need to remove an index from your project. Note: Deletion protection and pending collections can prevent deletion.
Untrusted display-only summary
PINECONE_DELETE_NAMESPACE
Tool to permanently delete a namespace from a serverless index. Use when you need to remove an entire namespace and all its data. This operation is irreversible and only supported on serverless indexes.
Untrusted display-only summary
PINECONE_DELETE_VECTORS
Tool to delete vectors by ID from a Pinecone index. Use when you need to remove specific vectors from a namespace. Supports deletion by IDs, metadata filter, or entire namespace deletion.
Untrusted display-only summary
PINECONE_DESCRIBE_BACKUP
Tool to retrieve detailed information about a specific backup. Use when you need to check backup status, configuration, or metadata.
Untrusted display-only summary
PINECONE_DESCRIBE_BULK_IMPORT
Tool to describe a specific bulk import operation in Pinecone. Use when you need to retrieve detailed information about an import's status, progress, timing, and any errors.
Untrusted display-only summary
PINECONE_DESCRIBE_FILE
Tool to get the status and metadata of a file uploaded to a Pinecone assistant. Use when you need to check file processing status, retrieve file metadata, or get a temporary signed URL for accessing the file contents.
Untrusted display-only summary
PINECONE_DESCRIBE_INDEX
Tool to retrieve full Pinecone index configuration including host and integrated embedding settings. Use when you need to check if an index has integrated inference (embed config) to avoid 'Integrated inference is not configured' errors by choosing the appropriate search method.
Untrusted display-only summary
PINECONE_DESCRIBE_INDEX_STATS
Tool to get index statistics including vector count per namespace, dimensions, and fullness. Use when you need to understand the contents and status of an index.
Untrusted display-only summary
PINECONE_DESCRIBE_NAMESPACE
Tool to describe a namespace in a serverless index, including the total number of vectors. Use when you need to get metadata about a namespace such as record count and indexed fields.
Untrusted display-only summary
PINECONE_DESCRIBE_RESTORE_JOB
Tool to get detailed information about a specific restore job in Pinecone. Use when you need to check the status, progress, or metadata of a restore operation.
Untrusted display-only summary
PINECONE_EMBED
Tool to generate vector embeddings for input text using Pinecone's hosted embedding models. Use when you need to convert text into vector representations for semantic search or similarity matching.
Untrusted display-only summary
PINECONE_FETCH_VECTORS
Tool to fetch vectors by ID from a Pinecone index. Use when you need to retrieve vector data and metadata for specific vector IDs from a single namespace.
Untrusted display-only summary
PINECONE_GET_ASSISTANT
Tool to retrieve the status and details of a Pinecone assistant. Use when you need to check assistant configuration, deployment status, or metadata.
Untrusted display-only summary
PINECONE_GET_MODEL
Tool to retrieve detailed information about a specific model hosted by Pinecone. Use when you need to understand model capabilities for embedding and reranking operations.
Untrusted display-only summary
PINECONE_LIST_ASSISTANTS
Tool to list all assistants in a Pinecone project. Use when you need to retrieve all assistants with their configurations and status information.
Untrusted display-only summary
PINECONE_LIST_BULK_IMPORTS
Tool to list all recent and ongoing bulk import operations in Pinecone. Use when you need to monitor or track the status of data import jobs. Supports pagination with a default limit of 100 imports per page.
Untrusted display-only summary
PINECONE_LIST_COLLECTIONS
Tool to list all collections in a Pinecone project (pod-based indexes only). Use when you need to view available collections.
Untrusted display-only summary
Provenance
The detail snapshot comes from an attributed MIT-licensed repository revision. Safe local icons use exact-match CC0 Simple Icons symbols; unmatched brands use monograms.
Remote text is plain display metadata only. It must never become an agent prompt, execution policy, OAuth grant, or executable instruction.