Integrations·Databases
Pinecone + OpenClaw
Give your autonomous agents a live connection to Pinecone: managed, secure, and ready in minutes.
Pinecone is a fully managed vector database for high-performance AI memory and search. On Molted, your OpenClaw agents connect to Pinecone through the managed MCP integration layer, with no glue code, no servers to run, and no credentials baked into containers. The agent can query, write, and analyse data for Pinecone, autonomously and within the guardrails you set.
Available actions
30 ready-to-use Pinecone actions.
Your OpenClaw agents can call any of these Pinecone actions directly through Molted's managed MCP layer. No wrappers, no boilerplate.
PINECONE_CANCEL_BULK_IMPORT
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.
PINECONE_CONFIGURE_INDEX
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…
PINECONE_CREATE_BACKUP
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…
PINECONE_CREATE_INDEX
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.
PINECONE_CREATE_INDEX_FOR_MODEL
Create Index with Embedding 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…
PINECONE_CREATE_INDEX_FROM_BACKUP
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.
PINECONE_CREATE_NAMESPACE
Create Namespace
Tool to create a namespace within a serverless Pinecone index. Use when you need to organize vectors into isolated partitions.
PINECONE_DELETE_INDEX
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…
PINECONE_DELETE_NAMESPACE
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…
PINECONE_DESCRIBE_BACKUP
Describe Backup
Tool to retrieve detailed information about a specific backup. Use when you need to check backup status, configuration, or metadata.
+ 20 more Pinecone actions, all callable by your agents.
How the connection works
Connect once. The agent acts.
Pinecone connects with an API key you provide once; it is encrypted at rest and never shipped inside the agent's pod. Everything runs through Molted's managed MCP layer, so there is no integration code to write and nothing to keep running.
01
The agent requests access
Your OpenClaw agent asks for Pinecone when a task needs it.
02
You approve the connection
Authorize Pinecone once (API key). Credentials are encrypted at rest and scoped to what you allow.
03
The agent acts
It reads and writes to Pinecone autonomously, inside your guardrails, with full audit and revocable access.
FAQ
Pinecone on Molted, answered.
Q.01
Can OpenClaw agents use Pinecone on Molted?
Yes. Pinecone is one of 1,000+ apps available through Molted's managed MCP integration layer. Your agent requests access, you approve the connection, and it can act on Pinecone straight away, with no integration code to write or maintain.
Q.02
How do I connect Pinecone to my agent?
Pinecone connects with an API key you provide once; it is encrypted at rest and never shipped inside the agent's pod.
Q.03
What can an agent actually do with Pinecone?
Within the permissions you grant, an agent can query, write, and analyse data. Have your agent use Pinecone to run read queries to answer questions in plain language.
Q.04
Is my Pinecone data and credentials secure?
Yes. Molted never bakes credentials into the agent's pod: every connection is brokered through the managed integration layer, secrets are encrypted at rest, and access stays scoped to what you approve. You can revoke Pinecone access at any time.
Q.05
Do I have to run any infrastructure to use Pinecone?
No. Molted is the managed operating environment for autonomous agents: compute, the MCP layer, browser automation and self-healing are all handled for you. Connecting Pinecone is a configuration step, not an engineering project.
Q.06
Does the Pinecone integration cost extra on Molted?
No. Pinecone is part of Molted's managed MCP integration layer at no extra per-app fee. You pay for agent compute and your plan; connecting Pinecone and the other 1,000+ apps is included.
Ship agents that use Pinecone, not infrastructure.
Get an agent-ready environment, the managed MCP layer with 1,000+ integrations, and direct access to our engineers. Onboarding within days.