"Requesting an answer from a specific document" matching MCP servers:

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.

This MCP server provides secure access to databases for AI agents, enforcing authentication, authorization, human approval, logging, and notifications to prevent dangerous actions.

Read-only MySQL MCP server that lets AI agents list tables, describe schemas, and run SELECT/SHOW/EXPLAIN queries with a row cap, bound to a single database for safety.

Extracts and stores documentation content from Microsoft Learn and GitHub URLs into PocketBase with full-text search, metadata preservation, and automatic collection management for easy retrieval and organization.

Provides tools to authenticate, search, and manage sessions within WingArc's iA Document Management System. It enables users to perform free word document searches and manage security tokens through the Model Context Protocol.

Gives Claude full read/write access to the Indexed FP&A portal's data, enabling everything a person can do manually on the portal through conversation.

Enables AI chatbots to look up standardized Korean food composition data, retrieve nutrient values, and check or grade nutrition answers against the National Standard Food Composition DB 10.4 with source attribution.

Enables AI agents to search, retrieve, and answer grounded questions over procurement documents (invoices, purchase orders, contracts, etc.) using hybrid SQL and vector retrieval.

A Model Context Protocol server that allows creation and management of multiple Fireproof JSON databases with CRUD operations, querying capabilities, and cloud synchronization for sharing databases with others.

A MongoDB MCP Server that allows AI agents and MCP clients to interact with MongoDB databases through standardized tools for CRUD operations, schema discovery, and collection management.

An HTTP MCP server for exploring CSV files that masks PII before any code execution, enabling safe data analysis with local or cloud LLMs.

Enables integration with financial transaction data through REST APIs, PostgreSQL databases, and document storage systems. Demonstrates agentic AI capabilities by connecting to Alpha Vantage API and managing financial data through natural language interactions.

Enables AI agents to answer analytical questions about an online store's SQLite database through specialized read-only tools, without any risk of modifying the underlying data.

A private location archive with an MCP server, letting an agent answer questions about your past stays, trips, cities, and travel stats from data in your own Postgres.

Structure any document, query it like a database. Sifter turns documents into typed, schema-defined records, queryable in natural language from any MCP client.

A Model Context Protocol server that exposes Firebase Firestore and Authentication to AI agents, supporting multi-project configurations and read operations.

Turns a voidbase instance into an MCP server whose tools are generated from the instance's own OpenAPI document, so callers can read the existing collections and their fields. It answers one JSON-RPC request at a time over a stateless POST /api/mcp transport.

Enables agents to query a CompanyGraph instance read-only, retrieving types, schemas, entities, skill evidence, and search results with verbatim answers from a specific model commit.

Enables execution of Snowflake stored procedures through the MCP server by providing a framework to define, manage, and call procedures from specific schemas or individual procedures.

Enables LLMs to query a synthetic general ledger and trial balance through read-only tools for account lookups, GL drill-down, variance analysis, and naive forecasting, with every answer cited to specific transactions or periods.