"How to utilize Office 365 effectively" matching MCP servers:

Enables AI agents to convert CSV text into JSON arrays with automatic delimiter detection and optional header-row handling, accessed through a pay-per-call x402 micropayment API.

Convert PDFs to structured JSON. Extract invoices, bank statements, contracts, and more. Pay per call via x402 USDC.

The Excel to JSON MCP provides a standardized interface for converting Excel and CSV data into JSON format using the Model Context Protocol.

The JSON to Excel MCP provides a standardized interface for converting (1)JSON data (2)URL pointing to JSON files into CSV format

Converts JSON data to TOON (Token-Oriented Object Notation) format and back, reducing token usage by 30-60% for more efficient LLM applications.

Enables AI agents to rank US healthcare organizations for clinical trial site feasibility, predicting patient accrual for a Graves' disease protocol using claims and registry data.

Enables agents to transform tabular Markdown content into structured, type-inferred records with normalized formatting through an MCP-compatible interface.

An open-source MCP server that imports HR CSV data into an in-memory SQLite database for structured querying and metadata retrieval. It enables users to perform read-only SQL queries and structured searches on employee data through natural language.

An implementation that integrates with Odoo ERP systems, enabling AI assistants to interact with Odoo data and functionality through the Model Context Protocol.

Converts eFax documents (PDF, TIFF, CCD XML) from OpenText Fax Server Software into structured JSON format with OCR support, metadata extraction, and batch processing capabilities.

MCP server for Microsoft Dataverse API with safe-by-default configuration. Works with any Dataverse / Dynamics 365 environment.

Enables AI assistants to extract and structure content from documents (PDFs, images, Office files) using Upstage AI's document digitization and information extraction APIs.

MCP server for integrating with Bika.ai platform, enabling AI assistants to perform CRUD operations on databases, manage attachments, and utilize automation and webhooks.

Enables LLM-friendly Markdown conversion from 24+ document formats (Office, PDF, email, images, archives, code) via MCP, with OCR, content sniffing, and safe handling of hostile inputs.

Enables users to look up how specific v2 fields, datatypes, and table codes translate to R4, and to convert whole ORM, ADT, and ORU messages into transaction Bundles with explicit warnings for unmapped values.

Enables conversion between PDF/Office documents and structured JSON, supporting extraction and generation of document content.

Enables AI clients to ask quantitative questions about any continent's economy, answering with live reconciled GDP, population, per-capita, ranking, and historical FX conversion figures pulled from three public APIs at query time. Every judgment call—which countries count, how missing years are handled, which currency and FX date—is exposed as a parameter, and the server reports exactly which rows it excluded, why, and where each number came from.

Answers whether a route ran late and by how much, with drill-down into individual trip delays and an audit trail of data-quality exclusions and duplicate resolutions.

Tracks buying and momentum signals for companies, such as funding rounds, senior hires, office openings, customer wins, and partnerships, with each event carrying its date.

Enables agents to reconcile piping material take-offs against Plant 3D SCSA exports by previewing diffs and applying quantity corrections, insertions, and gated removals with dry-run and explicit confirmation flags.