"Analyzing data in OpenSearch" matching MCP servers:

Searches OpenSearch documentation, blogs, and community forums.

A read-only MCP server for ServiceNow that provides deep visibility across multiple instances via query, schema inspection, identity, workflow, and code search tools.

Provides a single-writer MCP server for a governance-grade knowledge base of markdown documents with version control and query capabilities.

Enables querying Polish data protection regulations, decisions, and guidelines from the UODO directly from AI assistants.

Provides export-control compliance research and transaction-risk analysis for Korean semiconductor and battery companies, with tools for classifying ECCN, analyzing license exceptions, and drafting export-control clauses.

Generates and maintains grounded, enterprise-grade documentation for any codebase by analyzing real project artifacts, ensuring every claim is traceable to actual findings.

MCP server that recommends which npm/PyPI libraries to use or avoid, with concise verdicts, alternatives, and code snippets, keeping responses under 500 tokens.

MCP server that provides 22 tools to manage Apidog API documentation, including importing OpenAPI specs, exporting, diffing, analyzing, and bulk-editing endpoints.

An MCP server that provides tools for exploring large OpenAPI schemas without loading entire schemas into LLM context. Perfect for discovering and analyzing endpoints, data models, and API structure efficiently.

Provides access to date-fns documentation and utilities through MCP. Enables users to query and interact with the comprehensive date manipulation library's documentation and functions.

Enables AI agents to interact with the Roark API by writing and executing TypeScript SDK code in an isolated sandbox, with built-in documentation search to guide those tasks.

Read-only MCP connector that serves the Run It on AI book. The index and Implementation Blocks are free; full chapters and playbooks unlock with a license key included with the book.

Provides project context for AI agents in VS Code by analyzing technologies, structure, AGENTS.md rules, current branch, and source code without allowing arbitrary commands.

Provides browser feature support tables via tools like feature, search, list_browsers, and support, enabling AI agents to query caniuse data.

A Docker-managed MCP server for analyzing React codebases and generating component documentation from mounted workspaces. It enables users to scan projects, analyze JSX/TSX strings directly, and generate Markdown docs while ensuring safe path handling.

A Model Context Protocol (MCP) server that coordinates AI agents to transform database tables into Wikipedia-style data dictionaries.

Creates and searches private, local RAG libraries from documentation to ground AI assistants in authoritative sources, reducing hallucinations by providing current, accurate context from your own docs instead of relying on outdated training data.

An MCP server that provides tools for analyzing, linting, formatting, and generating Markdown content. It enables users to programmatically manage Markdown files through features like table of contents generation, statistics calculation, and JSON-to-table conversion.

Enables AI assistants to extract and analyze text content from various document formats (PDF, DOCX, PPTX, XLSX) in local knowledge bases, and create new formatted Word and Excel documents with structured data and reports.

Provides tools to search MDN documentation, get page summaries, and retrieve browser compatibility data.