"Kingsoft Document Connector" matching MCP servers:

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.

Verifiable document intelligence for AI agents. Extract text, tables, and structured data from PDFs and URLs. Summarize, answer questions, check claims, and translate — all with cited evidence. Store tamper-evident evidence bundles with cryptographic signatures and on-chain attestation via Base L2. Cross-document semantic search and Q&A across named collections. Pay per call with USDC

Enables Claude to search and install skills from a database of ~200k scraped Claude skills, MCP servers, and plugins.

Provides access to microCMS documentation, enabling AI assistants to search and retrieve the latest document content.

Natural language to SQL engine with multi-connector support (PostgreSQL, MySQL, Snowflake, BigQuery, DuckDB), document QA, semantic caching, and self-hosted MCP server.

A local document evidence layer for MCP clients that ingests documents (PDF, Office, images) with optional OCR, indexes them in SQLite FTS, and provides retrieval tools with source coordinates.

Enables reading and searching a user's eXpress chats and message history locally, with optional confirmed sending of text messages.

Provides AI agents with multi-format document indexing, hybrid dense and sparse search with reranking, and relational SQL querying over extracted tables.

Private local stdio MCP server for metadata-only discovery, recording, and querying of Markdown and PDF documents.

Enables searching Y Combinator startups and jobs via APIs, enriching listings, and applying with per-startup customized cover messages and human-in-loop email approval before submission.

Enables local semantic search over PDF, DOCX, PPTX, and EPUB documents by converting them to Markdown, indexing them in ChromaDB, and retrieving complete structure-aware sections with tables and equations.

Provides AI tools with access to ProudNet documentation through search, page retrieval, and section listing capabilities. Enables users to query ProudNet networking library documentation using natural language.

A read-only MCP server that lets an Agent Studio agent query a WooCommerce store's orders, products, inventory and customers, with pagination, filtering, typed errors and automatic rate-limit retry. It never mutates store data, keeping the blast radius of an agent's actions bounded to reads.

Provides a document database with search, retrieval, and creation tools, and a task tracker with search and status filtering, enabling AI agents to manage documents and tasks via natural language.

Enables querying documents through a Langflow backend using natural language questions, providing an interface to interact with Langflow document Q\&A flows.

Bridges AI agents with watsonx.data document libraries, enabling natural language queries and intelligent retrieval from document libraries.

Enables AI agents to search, deep-read, and build knowledge bases from Markdown, PDF, DOCX, and PPTX documents via MCP tools for retrieval, document navigation, and ingestion.

Enables AI assistants to search videos, channels, and playlists, retrieve video metadata, transcripts, and comments via the YouTube Data API v3.

Enables natural language search and analysis of uploaded PDF, CSV, and Excel documents using retrieval-augmented generation and MCP tools, providing contextual answers to user queries.

A Python-based MCP server that enables document-based question answering by processing PDF, TXT, and Markdown files through OpenAI's API. It provides hallucination-free responses based strictly on document content using semantic search and includes a web interface for management.