Index a dataset so text chunks become searchable. Splits content into RAG-ready chunks and generates embeddings for semantic retrieval.
MIT
535,232 tools. Updated 2026-09-08 15:51
"A tool for matching evidence with text chunks in citations" matching MCP tools:
- Retrieve paginated RAG-ready text chunks from an indexed dataset. Filter by quality grade and PII masking, then integrate with LangChain or LlamaIndex.MIT
- Retrieve raw matching chunks from a document collection via semantic search, ranked by relevance scores.MIT
- Semantic search across a project's knowledge base. Use natural language queries to retrieve top matching chunks with source and score, with optional metadata filtering.MIT
- Search the DPC Zettelkasten for notes on Dan's Plugins Community Minecraft plugins, returning matching notes with summaries and source citations.MIT
- Read and chunk a datasheet PDF for analysis. Supports local file upload or fetching cached chunks by part SKU, with optional keyword filtering to reduce context usage.Apache 2.0
Matching MCP Servers
- FlicenseNot gradedqualityDmaintenanceAn MCP server for searching and citing research papers using RAG, enabling semantic search, citation finding, and question answering over a collection of PDF papers.-
- FlicenseNot gradedqualityBmaintenanceEnables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.4-
Matching MCP Connectors
Read-only public financial evidence from LiquiLens, Undertow, Seiche and Palimpsest.
Text generation over MCP: prose, emails, blog outlines, SQL, humanizing, text diffs, fake data.
- Search evidence items like friction points, user quotes, and metrics by product, type, severity, or text. Retrieve matching evidence IDs to link to intents.MIT
- Answer factual questions from a shared knowledge graph, grounded in evidence with citations. Abstains when the graph lacks knowledge.MIT
- Ask a question to retrieve the most relevant document chunks with source citations and similarity scores.MIT
- Fetch text chunks and summaries from a specified text namespace, returning up to 100 items with count statistics per request.Apache 2.0
- Search a bill's statutory text for literal phrases, returning matching sections with U.S. Code and Public Law citations. Zero-hit queries include diagnostics to guide rephrasing.Sustainable Use v1.0
- Find relevant passages from indexed documents using hybrid, semantic, or keyword search. Returns text chunks with source metadata and relevance scores.MIT
- Retrieve raw source chunks matching your query, with similarity scores. Use this to access underlying documents without a synthesized answer.MIT
- Convert PDFs into Markdown or token chunks for LLM workflows. Choose structured Markdown, fixed-size chunks, or heading-aware RAG chunks for retrieval pipelines.MIT
- Find text in a Notion page and replace it with Markdown-formatted content. Supports regex for advanced pattern matching.MIT
- Splits clean text into overlapping chunks with unique IDs for vector embedding or search indexing.MIT
- Retrieve original source text for a given chunk ID to verify citations against the knowledge graph. Returns verbatim evidence with section and page details.MIT
- Retrieve relevant content from past conversations using keyword queries, with optional date and metadata filters, to provide evidence-based answers with source citations.AGPL 3.0
- Partitions raw text into sliding-window segments with configurable character overlap, returning an array of text chunks for vector database embeddings and RAG pipelines.MIT
- Validates a plain-text reference list by matching entries against PubMed evidence, returning a verification report with status for each reference.Apache 2.0
- Describe a concept or behavior in natural language to find where it lives in the code. Returns matching code chunks with file:line locations and snippets.Apache 2.0