"Find ReClip-macos.dmg" matching MCP servers:

Read-only semantic retrieval for agents that need to find the right Obsidian note without write access.

Enables semantic search across multiple knowledge datasets using FAISS vector embeddings, allowing natural language queries to find relevant documents with fast retrieval.

Easily find MCP servers using our MCP registry. Search with natural language.

A discovery and recommendation service that helps AI assistants find Model Context Protocol servers based on natural language queries.

Stores metadata for MCP servers and provides smart search capabilities, allowing users to find appropriate MCP servers for their queries and route requests to the most suitable server.

Provides ranked full-text search over Obsidian vaults using SQLite FTS5, BM25 scoring, and multilingual stemming, adding a vault_fts_search tool to find relevant notes beyond exact line matches.

Provides access to Apple documentation and WWDC transcripts with semantic, keyword, and hybrid search capabilities, enabling developers to quickly find relevant code examples and technical information.

Provides AI-powered semantic code search across multiple repositories, allowing natural language queries to find code chunks and retrieve specific file contents through Dolphin AI embeddings.

Enables Claude and other LLMs to search through any published MkDocs documentation site using the Lunr.js search engine, allowing the AI to find and summarize relevant documentation for users.

Searches a local literature database to find and compare wording, returning sourced example sentences with references for use by AI writing assistants.

Enables AI agents to find the right tool from a vague, misspelled, or rambling description by searching a library of tools and returning ranked matches with fit grades, links, and evidence.

An MCP server that provides full-text search over documentation using Whoosh, enabling AI assistants to find up-to-date, authoritative answers.

A local document search MCP server that indexes personal files and enables hybrid search (BM25 + semantic) for Claude to find and cite internal materials.

MCP server for RAG-based search over 1C Enterprise configuration documentation, enabling natural language queries to find objects like справочники, документы, and отчеты.

MCP server for a content-first knowledge base, enabling AI agents to search (full-text, semantic, hybrid) and retrieve Markdown documents, list content, and find related docs.

Provides semantic search capabilities over PyTorch documentation, enabling users to find relevant documentation, APIs, code examples, and error messages through Claude Code integration.

MCP server for context-aware codebase exploration using FastContext model, combining LLM-guided search with fuzzy matching to find relevant code snippets.

MCP server that indexes Obsidian notes and enables hybrid search (full-text, fuzzy, semantic) for AI assistants to find and read notes.

Enables semantic search and retrieval over an Obsidian vault using local or API-based embeddings, allowing AI assistants to find notes by meaning, get related content, and pull context during conversations.

A semantic search MCP server for YouTube transcripts using OpenAI embeddings and ChromaDB, enabling natural language queries to find conceptually similar content beyond keyword matching.