"Help with Writing Articles" matching MCP servers:

Enables LLM agents to query governed GA4 metrics over MCP, returning definitions, assumptions, and failure modes from a MetricFlow semantic layer without writing SQL.

Exposes a governed semantic layer to AI agents so they select metrics and dimensions from a closed, engineer-declared vocabulary instead of writing SQL. Validates every typed call against the contract, rejects out-of-contract requests with structured errors and suggestions, and returns query rows together with the compiled SQL and dbt lineage for auditing.

A Model Context Protocol server that lets LLM clients answer business questions in natural language over a Databricks dataset without writing SQL by hand.

Enables auditing spending history to find transactions with missing or questionable categories and getting ranked, history-based category candidates for confirmation. Also supports writing approved category fixes back and importing missing transactions from bank statements, with preview-by-default writes.

An MCP server that enables LLMs to detect and anonymize over 25 types of Personally Identifiable Information (PII) using Microsoft Presidio. It supports various redaction strategies and can process both plain text and structured data to help ensure data privacy.

Enables reading and writing Excel workbooks (.xlsx) through MCP. Supports listing sheets, tables, pivot tables, reading cell data, exporting to CSV/text/Markdown, and creating/modifying Excel files.

Enables language models to model SAP BW/4HANA through the BW Modeling Tools REST interface, with intent-based tools for searching, reading, writing, activating, querying data, monitoring, runtime actions, and transports. It uses compact schemas and safe-by-default permissions to complete changes in few calls.

Enables querying and managing Google Analytics 4 properties, including Firebase projects, through 36 tools covering configuration, Firebase lookups, Data API reports, and Admin API settings. Access checks and guided error resolution help users diagnose and fix permission issues.

A Model Context Protocol server that provides Claude with access to InfluxDB time-series database instances, enabling data writing, querying, and management of organizations and buckets through natural language.

Celp-MCP enables natural-language analytics over SQL, MongoDB, and Databricks warehouses through MCP-compatible clients, converting questions into multi-step database plans and returning markdown reports.

Enables AI assistants to control any Odoo database via XML-RPC, with features for reading, writing, importing/exporting data, and generating intervention reports.

Deterministic MCP server for job-landing pipeline that parses CVs into validated JSON Resume, detects sections, scores parse confidence, and exposes FR/US market profiles to help beat ATS and LLM screeners honestly.

Enables AI agents to discover governed business concepts and request deterministic metrics with expanded formulas, rules, row filters, reference dates, and evidence instead of writing SQL against raw tables. It keeps personal data from agents and serves the same metric consistently across multiple databases.

An MCP server that enables advanced CSV analysis and data visualization using Google's Gemini AI and Plotly. It allows users to perform exploratory data analysis, generate interactive charts, and conduct complex reasoning on tabular data.

MCP server for reading and writing data files (Excel, PDF, CSV, JSON, text) with safe write rules and provenance tracking.

Enables an AI assistant to load IBM Maximo data into a local staging sheet, propose and diff changes, and require human approval before writing to Maximo, while relaying MCP requests without cloud storage or telemetry.

An MCP server for reading, writing, and analyzing Excel files using Python, pandas, and openpyxl. It enables tasks such as managing multiple worksheets, performing structural data analysis, and creating new files from JSON data.

Provides MCP tools that help AI agents get their bearings in a codebase with unified SQL views over code, git, docs, and conversations, powered by DuckDB.

Gives AI agents governed context about a data warehouse — table meaning, ownership, lineage, freshness, and PII flags — plus read-only, row-limited, PII-protected querying across DuckDB, Snowflake, and Databricks. Guardrails enforced at parsing, connection, and result layers keep agents from writing, running away, or leaking personal data.

Enables reading, writing, appending, and creating Google Sheets spreadsheets through MCP tools, with support for exploring spreadsheet structure and creating new sheets.

An MCP server that lets an AI assistant look at your boat's Signal K data and help you design and install KIP dashboards.

Enables reading and writing to KoBoToolbox via MCP, including creating forms, deploying them, attaching media, and submitting data, all from chat.

An optimized Excel MCP server with 25+ tools for creating, reading, writing, formatting, and analyzing Excel files, including pivot tables and charts, without requiring Microsoft Excel.

Enables users to load synthetic records from three finance systems, propose evidence-backed vendor matches by confidence tier, inspect crosswalk status, build reviewer packets, record human decisions, and run the eval gate, all without writing to source systems.

Enables querying Excel and CSV files using SQL via natural language, allowing AI assistants to analyze data without manual SQL writing.

Enables AI to interact with Microsoft Access (.mdb, .accdb) and SQLite 3 databases, including read-only support for Access 97 databases. Supports executing SQL queries, importing/export data from CSV and Excel files, and storing notes about database files.

Enables AI assistants to interact with the Peliqan platform, providing access to hundreds of data connectors for reading and writing data in business applications.

A governance proxy for the DataHub MCP Server that enforces catalog metadata as policy, providing allow, redact, review, and deny outcomes for agent tool calls, and writing agent actions back into DataHub.

Fast, multi-sheet Excel retrieval and writing via MCP, supporting efficient data access with patch-based navigation and formula support.

Enables interaction with S2 StreamStore to manage basins, access tokens, and data streams through a progressive tool disclosure workflow. It allows AI agents to efficiently navigate between account management, basin configuration, and stream-level operations like reading or writing records.