Create a named local vector index for retrieval-augmented generation. Documents added are embedded via Ollama for local RAG without cloud dependencies.
133,413 tools. Last updated 2026-05-25 15:25
"A tool for summarizing local documents" matching MCP tools:
- Add documents from a local file to the knowledge base for semantic search and retrieval in RAG systems.
- Search for documents by their folder path using keywords at each level. Returns matching document filings.Apache 2.0
- Analyzes documents to automatically create JSON schemas for structured data extraction, enabling consistent field definitions across similar documents.MIT
- Find documents based on their position in a folder hierarchy by providing keywords for each path level. Returns matching document filings.Apache 2.0
- Add documents to a collection by providing a URL for download, processing them for text extraction, and indexing them for semantic search.MIT
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- Flicense-qualityCmaintenanceA Model Context Protocol server that allows AI assistants to discover, load, and process local documents on Windows systems, with support for multiple file formats and OCR capabilities for scanned PDFs.Last updated2
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Matching MCP Connectors
Find local businesses on Google: name, address, phone, hours, ratings, and photos.
Give your AI agent a phone. Place outbound calls to US businesses to ask, book, or confirm.
- Remove specific documents from a Chroma collection by specifying their IDs and collection name. Confirms the number of documents deleted and handles errors for invalid inputs or non-existent collections.Apache 2.0
- Retrieve statistical metrics about a collection's documents, processing status, storage usage, and index health to monitor readiness and verify completion.MIT
- Create a new document collection to organize related documents and enable semantic search across their contents. Returns a collection ID for managing documents.MIT
- Modify documents in a Chroma collection by updating embeddings, metadatas, or text content. Ensure data integrity by matching input IDs with provided updates for accurate modifications.Apache 2.0
- Search for documents by name using keywords and optional class filter. Returns matching documents with confidence scores to help select the correct one.Apache 2.0
- Search for documents by content and metadata criteria, narrowing results with filter conditions. Returns only released versions of matching documents.Apache 2.0
- Retrieve recent RSpace documents with pagination to browse and select research data. Returns document metadata for efficient overview.AGPL 3.0
- Upload local files to Google Cloud Run by specifying absolute file paths. Enables deployment of local filesystem assets to a specified Cloud Run service in the user's Google Cloud project.
- Retrieve a list of documents contained in a folder by specifying the folder ID or path.Apache 2.0
- List indexed documents within a specified date range to discover recently indexed content or audit documents from a specific period.MIT
- Find recently modified documents in RSpace by specifying a timeframe and optional text search to locate current research data.AGPL 3.0
- Download file attachments from RSpace documents to your local system. Retrieve images, data files, or other attachments by specifying the file ID and save location.AGPL 3.0
- Retrieve local companies currently applying for stock exchange listing. Use this tool to identify businesses in the listing application process.PythonMIT
- Activate a form to enable document creation in RSpace. Use this tool after creating or modifying forms to make them available for generating research documents.AGPL 3.0