"The official Python standard library documentation" matching MCP servers:

MCP server for searching and retrieving trading knowledge from a centralized SQLite library of book summaries, strategies, and document chunks.

Provides full-text search and retrieval tools for Apache Spark documentation using SQLite FTS5 with BM25 ranking. It enables AI assistants to efficiently search, filter by section, and read specific Spark documentation pages.

MCP server giving AI models direct access to 30M+ resources at ETH Library Zurich – books, maps, images, archival material, and linked-data person records.

Enables Claude clients to access notes, guidance, projects, and search from a knowledge library, with explicit-save write tools for creating, updating, and appending content only when the user approves.

Enables Claude clients to access a private local book library, allowing users to list books, search content, and retrieve metadata, chapter summaries, action items, personal notes, and infographic text through MCP tools.

A server that enables Claude to search and access documentation from popular libraries like LangChain, LlamaIndex, and OpenAI directly within conversations.

Enables you to manage your personal Spotify library from Claude or a CLI, including organizing playlists, merging and deleting playlists, saving tracks, searching with artist verification, and querying top tracks, artists, and recently played items.

Enables agents to search and browse an Immich photo library by content or metadata, inspect EXIF/people/albums/tags, view images and contact sheets, analyze duplicates and activity, and export browser-ready files with manifests. With an optional write key, it also enables curation such as favorites, ratings, descriptions, tags, albums, people, uploads, and reprocessing.

Enables AI clients to search curated, cited knowledge bases built from founders', CEOs', and investors' public talks, essays, and posts, returning passages with source links and dates. It also exposes available source collections via MCP tools so users can ask how those individuals might approach business, product, or growth questions.

A Python template for creating MCP servers with embedded documentation, featuring example weather service tools using the NWS API.

Provides a stable, side-effect-free MCP tool contract that enables AI workflows to be prototyped, demoed, tested, or dry-run without connecting to databases, APIs, files, or other real data sources. It enables swapping in a real data server later without changing the AI-facing interface.

Enables AI applications to manage WeChat Official Accounts through standardized tools for authentication, media uploads, draft creation, article publishing, and permanent material management.

Production MCP server for querying the official Meta Ad Library API to search and retrieve ads data without scraping.

An MCP server that automates importing products from AliExpress, Alibaba, and Accio into DSers and pushing them to Shopify or Wix stores, with features like bulk import, pricing rules, and title cleanup.

MCP server for controlling satellite ground station operations in the Trench simulation, including pass management, downlink control, and antenna pointing.

Enables searching and analyzing LinkedIn's public ad library for any company, including ad creatives, targeting, and competitive insights. Supports image and video analysis, company comparisons, and detailed ad lookups via natural language.

Search and analyze TikTok's public ad library, including ad creatives, video scene-by-scene insights, and advertiser comparisons.

Enables access to OpenTelemetry documentation by fetching and converting pages to markdown format and searching content using Google Custom Search. Provides comprehensive documentation lookup and search capabilities for OpenTelemetry concepts, instrumentation, and configuration.

Enables searching and reading OCI documentation using the Oracle Help Center Search API. Provides tools for finding relevant documentation URLs and reading page content.

A production-grade MCP server providing a persistent Python REPL with multi-session support, sandboxing, and timeout protection, enabling LLM agents to execute Python code across multiple turns with variables that persist between calls.