"General Documentation Search" matching MCP servers:

MCP server for full-text search across PDF document collections with offline indexing, ranked results, snippets, and page rendering.

Local MCP server that manages a job search using Markdown files, enabling skills tracking, gap analysis, and offer pipeline management via Claude.

Enables blazingly fast file and content searching in large codebases using ripgrep, with intelligent filtering, fuzzy finding, and directory tree visualization while respecting .gitignore and avoiding common bloat directories.

A production-style MCP server that lets Claude Desktop search your local documents using TF-IDF keyword search. No heavy frameworks, just plain Python and the official MCP SDK.

A convention-aware MCP server for managing markdown files with YAML schema validation. It enables AI agents to read, write, search, and validate markdown notes while enforcing user-defined conventions across directories like Obsidian vaults and documentation repositories.

A sophisticated MCP server providing powerful file search capabilities including single file search, recursive directory search, and file information retrieval.

locidx

A Model Context Protocol server that enables keyword search within files, returning matching lines with line numbers.

Enables AI clients to search and read a local folder of notes, fetch public web pages as markdown with SSRF and robots.txt safeguards, and convert times between IANA timezones. It exposes these read-only capabilities as MCP tools over stdio or streamable HTTP.

Integrates Everything Search with Claude Code for lightning-fast file searching across entire drives, up to 400x faster than traditional methods.

Enables AI assistants to search indexed Windows drives for files and folders by name, path, type, size, or date, browse directories, and retrieve counts or total sizes in batched queries. It returns paginated results with optional metadata through a read-only local connection.

MCP server for managing product documentation as markdown files. Supports creating, reading, updating, deleting, and searching docs with optional semantic search.

A general-purpose MCP server that provides utility tools for echo, date/time, and file operations within Claude Code and Claude Desktop. It functions as an extensible framework designed to help developers easily build and register custom Python-based tools.

Enables MCP clients to search, read, and record reviewed conclusions from policy-gated allowlisted files, with sanitized chunks and create-only drafts or append-only lessons, without granting general filesystem or execution access. It supports lexical ranking and optional loopback embeddings while rejecting likely credentials and raw challenge flags.

Fast file search across Windows (Everything SDK), macOS (Spotlight/mdfind) and Linux (locate/plocate). Single search tool with platform-specific filters, sorting and an optional configurable tool name.

Enables personal project documentation management through local markdown files stored in nested directories. Supports organizing context by project and layer (backend/frontend/fullstack) with search functionality across all documentation files.

Enables fast file search on macOS using the native mdfind (Spotlight) command, with support for filtering, regex, sorting, and limiting results.

Integrates Everything file search with Claude Desktop, enabling instant Windows filesystem search via natural language queries.

Enables AI assistants to search documentation, read and update configuration files, and discover settings across your development workspace. Supports JSON, YAML, TOML, and Markdown files with seamless integration for GitHub Copilot and other MCP clients.

A local MCP server for BeamNG.drive mod development that provides official documentation search, mod scaffolding, validation, and packaging tools.

Provides a minimal MCP server with safe tools for AI assistants to search project files, read files, search local documentation, and run pre-approved checks within a single project directory.

Makes local markdown documentation files automatically available to AI assistants through MCP, enabling them to search and read organized documentation folders without manual file registration.

Provides integration with Everything Search Engine allowing powerful file search capabilities through the Model Context Protocol with advanced search options like regex, case sensitivity, and sorting.

Enables MCP clients to compress, merge, split, convert, OCR, redact, sign, create, and read PDFs with AI-assisted summaries and data extraction, plus local file upload/download and URL imports. Supports file libraries, job tracking, documentation search, and authenticated access via OAuth or API keys.

Enables AI models to search, read, and analyze Excel files from your local file system with support for multiple worksheets, text search, and JSON data conversion.

A demonstration MCP server showcasing tools (calculator, file operations, weather, timestamp), resources (server config, system info, documentation), and reusable prompt templates for code review, documentation, and debugging.

A simple MCP server for local documentation with RAG capabilities, enabling AI assistants to access and search local documents.

Combines codebase files into a single prompt for AI assistants, enabling code review, documentation, and debugging via natural language.

Enables searching for files based on creation or modification timestamps within restricted root directories. It supports glob pattern matching, time range filtering, and pagination for efficient file discovery.

Enables LibreChat agents to manage per-user private files, persistent documentation, RAG indexing and semantic search, and publish files via secure opaque public links.