"Read the Docs" matching MCP servers:

MCP (model context protocol) server for interacting with dbt Docs

Offline-first MCP server for TwitterAPI.io docs (endpoints, pages, blogs) with fast fuzzy search.

Enables an AI assistant to reliably read and chunk PDF/text documents, validate extracted JSON against a schema with full error paths, and save structured output—all confined to a single allowed directory.

An MCP server that converts Apache Airflow DAGs into Prefect flows. It provides tools to read DAGs, lookup translation knowledge, validate code, search Prefect docs, scaffold projects, deploy, and generate migration reports.

Data compression MCP server with auto-algorithm selection (gzip, brotli, deflate). 7 tools for compress, decompress, analyze, store, retrieve, list, and stats. Achieves 60x compression on docs, 30x on SQL. Lossless round-trip verified. Zero dependencies.

Enables AI assistants to read, create, and modify SAP BW/4HANA modeling objects via the internal REST API, including aDSOs, InfoObjects, transformations, DTPs, queries, and more.

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

Enables comprehensive integration with Google Analytics 4, allowing users to read analytics reports and send custom events through both the Data API and Measurement Protocol v2.

Provides AI assistants with access to Vega-Lite documentation, visualization examples, and specification validation tools. Enables searching docs, retrieving examples by category, validating JSON specs, and accessing schema information for creating data visualizations.

Enables retrieval and analysis of graph data from the Pythagraph RED API. Provides formatted tables, statistics, node/edge distributions, and comprehensive summaries for graph visualization and insights.

Enables interaction with the Civis Platform for data exploration, querying, and workflow execution. Supports schema-restricted read-only mode and tools like run_query, list_tables, and publish_html_report.

MCP server for the Ouro platform, enabling AI agents to search, read, query datasets, create content, and execute API routes on Ouro through the Model Context Protocol.

Enables AI agents to read, write, analyze, and transform Excel spreadsheets (.xlsx) through the Model Context Protocol.

Cross-source attribution across 37+ business tools. True ROAS in 14 seconds. Not a dashboard. A decision.

Enables MCP-capable agents to interact with Dock workspaces, including reading, creating, updating, and deleting rows, managing workspaces, and retrieving activity logs.

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.

A Model Context Protocol (MCP) server for interacting with Quip spreadsheets. It provides tools to read spreadsheet data from Quip documents and return the content in CSV format.

A versatile tool that enables querying and exporting data from multiple relational databases (MySQL, PostgreSQL, Oracle, SQLite, etc.) in read-only mode for data safety.

Enables asking product analytics questions in English and receiving answers as real SQL along with the resulting numbers, through read-only MCP tools for funnels, retention, trends, paths, and event counts.

Enables MCP-compatible agents to run governed, read-only analytics queries against Postgres using predefined metrics and dimensions, with safety checks and provenance on every result.