"Remote MCP Server Registry/Index" matching MCP servers:

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

Indexes local documents (PDF, Word, Markdown, text) into a SQLite database for AI agents to search and retrieve bounded, source-located passages. Runs fully locally with optional OCR, preserving privacy.

Enables a language model to query a document index through callable tools: ranked passage search, reading a chunk with its neighbours or a full document by id, index statistics, and sourced generated answers. The tools chain together, letting a model search, then read around the best chunk ids it received.

stdio server to read markdown with images or index markdown headings from a file, folder or URL

Enables AI agents to scrape, crawl, clean, chunk, and index website content into Azure AI Search for full-text retrieval.

Enables AI agents to locally index and read-only search the BYR BBS, including full-text post search, thread reading, board browsing, and index status checks.

Enables natural-language semantic search of a project's code through a local vector index, so questions that plain grep cannot match return ranked file:line references. It also indexes or refreshes projects on demand, reports index status, and optionally flags near-identical code across files.

Open registry of agent instruction files — system prompts, skills, workflows, and domain packs. Exposes the OpenClaw registry via 4 MCP tools: search by keyword/category, fetch full instruction files, list categories, and get top-rated files. CC0 licensed, free to use.

Self-hosted hybrid code search MCP server with text, symbol, and semantic search layers. Runs locally, no third-party MCP servers, LSP, or SaaS.

Enables AI agents to search a locally built, topic-specific index over MCP using hybrid keyword and semantic retrieval with trust, version, recency, and evidence-aware ranking. It also lets agents outline coverage, fetch full documents or threads, and inspect index metadata.

A local MCP server that indexes codebases using Tree-sitter AST parsing and LanceDB, enabling AI models to search across repositories with sub-second latency.

Enables local-first context retrieval and management from JSONL and Markdown sources through MCP, with a rebuildable full-text search index and support for stable reference pagination.

A Model Context Protocol server that runs on Cloudflare Workers with OAuth login, allowing clients like Claude Desktop to connect to it for tool-augmented AI interactions.

Enables AI assistants to interact with Meilisearch via the Model Context Protocol, allowing comprehensive index, document, and search management through a standardized interface.

Enables AI agents to index, search, and validate lessons learned across project repositories via a local SQLite index, providing learning-loop resources and verified-solution tracking without loading full files into conversations.

Enables AI assistants and developer tools to securely access and interact with an organization's enterprise knowledge, documents, and people through natural language while respecting existing access permissions.

Enables searching and managing a documentation index, including searching libraries, resolving versions, indexing from URLs or local files, refreshing content, and removing entries.

Enables AI agents to query Coveo's unified index for search, passage retrieval, and generative question answering, supporting multiple transport modes for client compatibility.

Provides real-time documentation retrieval for coding agents, answering implementation questions with compact, cited context assembled from developer documentation and live web search via a single MCP context tool.

Provides external agents with secure MCP access to a personal, self-hosted search index across email, messages, files, health, and more, enabling hybrid search, entity resolution, and cited answers over your own data.

Enables semantic and full-text search over the official Model Context Protocol registry to discover MCP servers for integration.

Enables coding agents to search a locally indexed codebase with hybrid dense, lexical, and symbol-graph retrieval, returning ranked passages with exact file:line-line citations plus graph context and index status. It keeps its index in sync via a file watcher and runs as a local sidecar with no hosted service to deploy.

Enables KoboldCpp local models to index and semantically query private documents from multiple file formats via MCP, with privacy-first local processing and zero data leakage.

Provides local-first retrieval over long design conversations, enabling users to find where a decision was made, why, and what replaced it, with turn and line range citations through hybrid retrieval, typed judgment rerank, exact search, and five MCP tools.

Enables MCP clients to search locally indexed text files, PDFs, and images using natural-language descriptions, and to index folders and inspect index statistics.

Enables fully local semantic search over a Roam Research graph via MCP, providing tools for hybrid retrieval, index refresh, and stats while keeping all content on-machine.

Enables coding agents to retrieve an incrementally maintained Git-to-RAG knowledge index over Git-tracked text and selected PDFs through an authenticated endpoint.

Enables local incremental indexing of document folders with offline Cyrillic OCR on CPU, exposing tools to start or cancel indexing, check status, and read page or document transcripts.

Index any documentation website and search it from AI coding assistants via the Model Context Protocol (MCP).

Enables dynamic discovery, search, and on-demand retrieval of local Claude Skills, making them accessible as a composable skill registry across MCP-compatible hosts without manual configuration.

Enables Claude to index and retrieve context from codebases using self-hosted Milvus for semantic search, with hardened reliability and security for production use.

Enables VS Code Copilot to understand and query codebases through semantic search, call graph analysis, and related file discovery, using a local SQLite index with graph and vector embeddings.

A minimal RAG service that exposes a vector index for document retrieval via REST and MCP, allowing querying for relevant document chunks and returning a suggested LLM prompt.

A private, self-hosted RAG service over MCP that enables document ingestion, hybrid retrieval (BM25 + dense vectors fused with RRF), and notebook management through 14 tools, keeping documents on your own hardware.

A local-first semantic search server for documents, supporting PDFs, Office files, and text/markdown, enabling natural language search via the Model Context Protocol (MCP).

Enables storing large command outputs, files, and web pages in a local SQLite index and retrieving only the relevant passages Claude asks for, reducing context usage.

Semantic search over any markdown corpus using local embeddings. Provides tools to search, reindex, and get index stats, with results including file paths, line numbers, and header breadcrumbs.

A server for hosting Model Context Protocol (MCP) tools on Cloudflare Workers with OAuth authentication, allowing Claude AI and other MCP clients to access extended capabilities.

Provides up-to-date documentation for AI agents by locally querying a community-driven registry of pre-built docs packages.

Local MCP server to index your codebase once and search it across AI sessions with keyword, semantic, or hybrid search, keeping all data on disk.