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.
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Claimed by the author or certified by MCPHub
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AI Evaluation ReportTotal Score: 8/10
The agent demonstrates strong capabilities in managing and retrieving information from the Pinecone index. It effectively performs semantic searches, retrieves index statistics, lists documents by namespace, and processes new documents. The agent provides clear, accurate, and structured responses, which enhances readability and comprehension. It also communicates limitations transparently, such as when only one document meets the specified search criteria. However, there is room for improvement in suggesting alternative search strategies or related topics to explore when results are limited. Overall, the agent's performance is reliable and efficient, showcasing its strengths in handling the tasks it is designed for.
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: 7/10Search for documents from 2023 about **artificial intelligence**, specifically in the **'quantum_computing'** namespace. Only show me the top 5 results that are also tagged with **'machine learning'**.I found one relevant document from 2023 about artificial intelligence in the 'quantum_computing' namespace that is also tagged with 'machine learning':
Document Summary:
- Title: Advancements in Quantum Computing
- Content: Quantum computing has made significant strides in recent years, with breakthroughs in qubit stability and error correction. These advancements bring us closer to practical quantum computers capable of solving complex problems beyond the reach of classical computers.
- Similarity Score: 0.795
Unfortunately, it seems there are no additional results that meet all the specified criteria. If you would like to broaden the search or adjust any parameters, please let me know!
Test case 4
Score: 8/10Please index a new document for me. The text is: **'Natural language processing (NLP) allows computers to understand human language.'** Assign it the ID **'nlp_overview_001'**, and set its metadata with the source as **'test'** and category as **'AI'**.The document has been successfully indexed with the ID 'nlp_overview_001'. The text is: 'Natural language processing (NLP) allows computers to understand human language.'
If you need any further actions or additional documents processed, feel free to let me know!
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.
