sirmews/mcp-pinecone
mcp-pinecone is hosted online, so all tools can be tested directly either in theInspector tabor in theOnline Client.
If you are the rightful owner of mcp-pinecone and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
The Pinecone Model Context Protocol Server for Claude Desktop allows users to read and write to a Pinecone index, facilitating operations like semantic search and document processing.
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Has a README
Github repo has a README.md.
Has a License
Github repo has license info.
Server can be inspected
View server inspector
Server schema can be extracted
Can get at lease one tool info from the README or server.
Online hosted on MCPHub
Can be automatically deployed by MCPHub.
Has social accounts
Do not have any social accounts.
Claimed by the author or certified by MCPHub
If you are the author, claim authorship
AI Evaluation ReportTotal Score: 8/10
The agent demonstrates strong capabilities in retrieving statistics about the Pinecone index and listing documents by namespace, providing clear and accurate responses. It also successfully reads specific documents from the index, showcasing its ability to access stored information. However, the agent encounters issues with processing documents from URLs, as seen in the tool malfunction and invalid input errors. This indicates a limitation in handling external content for processing and upserting into the index. Overall, the agent performs well in tasks related to existing data within the index but struggles with integrating new data from external sources.
Test case 1
Score: 9/10Perform the operation of retrieving statistics about the Pinecone index, including the vector count per namespace and the number of dimensions.- Namespaces and Vector Counts:
- Default Namespace: 1 vector
- Namespace "quantum_computing": 1 vector
- Total Vector Count: 2 vectors across all namespaces.
- Number of Dimensions: 1024 dimensions.
- Namespaces and Vector Counts:
Test case 2
Score: 10/10Perform the operation of listing all documents available in the Pinecone index, categorized by their respective namespaces.- Namespace: (empty)
- Documents:
- ID: test_doc_001#chunk1
- Documents:
- Namespace: test
- Documents: None
- Namespace: example_namespace
- Documents: None
- Namespace: another_namespace
- Documents: None
- Namespace: default
- Documents: None In summary, there is one document in the empty namespace and no documents in the other specified namespaces.
- Namespace: (empty)
Test case 3
Score: 2/10Perform the operation of processing a document by chunking, embedding, and upserting it into the Pinecone index. Use the content from the following URL: https://en.wikinews.org/wiki/Malcolm-Jamal_Warner,_%27Cosby_Show%27_actor,_drowns_in_Costa_Rica.No valid answer is generated due to tool malfunction. The task could not be completed because the tool sirmews/mcp-pinecone malfunctioned during the operation of processing the document by chunking, embedding, and upserting it into the Pinecone index.
Test case 4
Score: 6/10Perform the operation of processing a document by chunking, embedding, and upserting it into the Pinecone index. Use the content from the following URL: https://www.foxweather.com/earth-space/ss-andrea-doria-ms-stockholm-gyro-compass?dicbo=v2-b4hNo60.No valid answer is generated due to invalid input. The response does not provide any information about the success or failure of processing the document from the given URL. It only mentions calling the tool without confirming the completion of the task or any results. Additionally, there is no indication of whether the URL was accessible or if the document was successfully chunked, embedded, and upserted into the Pinecone index.
Test case 5
Score: 9/10Perform the operation of reading the document with ID 'test_doc_001#chunk1' from the Pinecone index and provide its content.This is a sample document about artificial intelligence and machine learning. AI has revolutionized many industries including healthcare, finance, and technology.
