"Organic Maps" matching MCP servers:

A TypeScript Model Context Protocol (MCP) server to allow LLMs to programmatically construct mind maps to explore an idea space, with enforced "metacognitive" self-reflection.

Aggregates multiple third-party APIs into unified MCP tools, providing out-of-the-box access to 10 popular services including OpenWeather, Google Maps, GitHub, Notion, Spotify, and more. Enables users to interact with weather data, search places, manage repositories, create content, and access various web services through a single MCP server.

Enables AI coding agents to retrieve repository context through stdio-based MCP tools, including ranked repo maps, context packs, and live symbol search.

A lightweight MCP server that maps keywords to file paths instantly using a JSON index, enabling fast context retrieval for AI agents without embeddings or vector databases.

Integrates with SerpAPI and YouTube to provide comprehensive search capabilities across Google Search, News, Scholar, Trends, Finance, Maps, Images, YouTube, and transcript retrieval for AI assistants.

MCP server that retrieves up-to-date Google Maps Platform documentation and code samples to ground AI-generated code in official guidance.

Provides coding agents with persistent, queryable repository memory over MCP, enabling code search, cited question answering, repo maps, decision logs, and cross-session notes through local-first tools.

A bridge between AI assistants and search services that implements A2A protocol and Model Context Protocol, enabling search functionality for web, videos, maps, flights, and hotels.

Enables coding agents to retrieve compact, cited repository maps through MCP tools such as search, symbol inspection, flow investigation, and deep context loading.

Provides comprehensive access to Escape From Tarkov game data including items, traders, maps, quests, crafting recipes, and economy information through the tarkov.dev GraphQL API.

An advanced MCP server that implements sophisticated sequential thinking using a coordinated team of specialized AI agents (Planner, Researcher, Analyzer, Critic, Synthesizer) to deeply analyze problems and provide high-quality, structured reasoning.

Web search and any page as LLM-ready Markdown for AI agents, pruned to the passages relevant to the query, plus research, crawl and site maps. Free keyless tier.

Enables AI assistants to access and query a verified knowledge base of Chinese whisky, including distillery profiles, flavor notes, product recommendations, regional maps, and content generation support.

Local-first code context CLI + MCP server: discover, index, and search repos; generate task-aware context packs, code maps, agent harnesses, and PR-review/merge-readiness gates for coding agents and reviewers.

A server that integrates with AI-powered code editors to provide immediate answers about Chargebee products and API services, offering context-aware code snippets and access to Chargebee's knowledge base.

A Model Context Protocol server that provides access to Outscraper's data extraction services, implementing 8 tools for extracting data from Google services and domains including Maps, Reviews, Search, and contact information.

Enables AI coding agents to query a fully local SQLite FTS5 memory index of a codebase, returning high-density identity cards with exact line references, AST symbol contracts, phase maps, and colloquial intent search so agents can work without scanning raw files. It also supports incrementally syncing code changes and enriching knowledge under a six-pillar quality gate, keeping everything on-device with no cloud leakage.

Enables an agent to run ten ready-made research and monitoring workflows — competitor digests, cited reports, paper alerts, market maps, regulatory and due-diligence watches — pulling from Firecrawl, Tavily, GitHub and landing results in Notion, Slack, Google Docs, Sheets and Linear. Fields are filed with the user's own keys held in the operating system keychain, and every action that creates, sends or changes anything is shown and approved first.

A nested MCP system that demonstrates server composition by using an orchestrator to manage an internal vector store for semantic search. It enables complex, multi-hop retrieval and reasoning over a knowledge base through an agentic reasoning loop.

Enables AI coding agents to build and query local repository memory, returning ranked files, context packs, relationship maps, semantic recall, and feedback-tuned search without uploading code.

Enables agents to find relevant documentation with source URLs, evidence, and freshness, search and browse an llms.txt directory, validate or draft llms.txt files, and manage site registration, verification, and change watches.

Enables agents to ask questions against Google notebooks and receive citation-backed answers with quoted source excerpts, while also generating and downloading audio overviews, videos, infographics, reports, presentations, data tables, flashcards, quizzes and mind maps. Multi-account rotation with automatic re-authentication keeps long, high-volume batch runs going without manual intervention.

Enables users to automate Google NotebookLM for citation-backed Q&A and full Studio content generation — audio overviews, video, infographics, reports, presentations, data tables, flashcards, quizzes and mind maps — over either an HTTP REST API or MCP. Supports multi-account rotation with automatic re-authentication, so long batch runs across personal and Google Workspace accounts continue without babysitting.

Enables agents to run citation-backed Q&A over Google NotebookLM notebooks with source excerpts, generate Studio artifacts such as audio overviews, video, infographics, reports, presentations, data tables, flashcards, quizzes, and mind maps, and sustain long batch runs through multi-account rotation with automatic re-authentication.

Enables agents and automation platforms to run citation-backed Q&A over Google NotebookLM notebooks and to generate Studio artifacts such as audio overviews, video, infographics, reports, presentations, data tables, flashcards, quizzes and mind maps, with multi-account rotation and automatic re-authentication. The same engine is exposed both over MCP for clients like Claude Code, Cursor and Codex and as an HTTP REST API for n8n, Zapier, Make or plain curl.

Enables MCP clients to drive Google NotebookLM for citation-backed Q&A over your sources, plus generation of audio, video, infographics, reports, presentations, data tables, flashcards, quizzes and mind maps, using multi-account rotation with automatic re-authentication. It also exposes the same engine as a local HTTP REST API for no-code and custom integrations.

Enables citation-backed Q&A against your own sources and programmatic generation of audio overviews, video, infographics, reports, presentations, data tables, flashcards, quizzes and mind maps, with multi-account rotation and automatic re-authentication for high-volume batches. It is exposed both as MCP tools for agents like Claude Code, Cursor and Codex and as a 33-endpoint HTTP REST API for n8n, Zapier, Make or plain curl.

Enables AI agents to drive a user's own signed-in Google NotebookLM (Gemini Notebook) account through 51 MCP tools, covering notebook and source management, grounded chat with numbered citations, fast and deep research, and generating or downloading audio/video overviews, slide decks, quizzes, flashcards, mind maps, infographics, reports and data tables. It runs over stdio or streamable HTTP on localhost and sends progress notifications for long-running jobs.

Enables AI agents to run citation-backed question answering against Google NotebookLM notebooks and to generate and download Studio artifacts such as audio overviews, video, infographics, reports, presentations, data tables, flashcards, quizzes, and mind maps. Multi-account rotation with automatic re-authentication and batch runs of thousands of questions let it sustain large-scale research without manual intervention.

Enables agents to query grounded notebooks and get citation-backed answers with quoted source excerpts, plus generate and download Studio artifacts such as audio overviews, videos, infographics, reports, presentations, data tables, flashcards, quizzes and mind maps. Supports multi-turn sessions, batch runs with account rotation and auto-reauth, and can also be driven through a local HTTP REST API for no-code workflows.

Enables agents to search a local, license-aware library of tested code assets, verified bug fixes, package guidance, rules, and lessons, while providing repo maps, secret scanning, and licence checks through MCP tools over stdio.

Enables agents to run citation-backed Q&A against Google NotebookLM notebooks, add and read sources, manage sessions, and generate or download Studio artifacts such as audio overviews, video, infographics, reports, presentations, data tables, quizzes and mind maps. Supports multi-account rotation with automatic re-authentication for high-volume, resumable batch runs.

Local-first code retrieval MCP server: hybrid semantic + keyword search over an AST-aware index of your codebase, with symbol definition and reference lookup, repo maps, and file tools. Runs fully offline; serves Claude Code, Cursor, and any MCP client over stdio or HTTP.

Enables agents and workflows to query Google NotebookLM notebooks through both MCP and a plain HTTP REST API, returning citation-backed answers with source excerpts and handling multi-account rotation with automatic re-authentication. Also generates and downloads Studio artifacts such as audio overviews, videos, infographics, reports, presentations, data tables, flashcards, quizzes, and mind maps.

Serves prebuilt schema maps to AI agents over MCP, enabling table search, table descriptions, ranked join paths, key lookups, and business-context retrieval so text-to-SQL agents can write accurate queries without exploring the production database.

Enables agents to run citation-backed Q&A over notebooks, generate Studio artifacts such as audio, video, infographics, reports, presentations, data tables, flashcards, quizzes and mind maps, and manage sources programmatically. Supports multi-account rotation with automatic re-authentication for high-volume batch runs across personal and Google Workspace accounts.

Enables citation-backed Q&A, source-grounded research, and generation of audio, video, reports, presentations, data tables, study aids, and mind maps from notebook sources. Supports multi-account rotation with auto-reauth and exposes a local HTTP REST API for no-code and agent workflow automation.

Enables citation-backed question answering grounded in your own uploaded sources, plus full Studio generation of audio overviews, video, infographics, reports, presentations, data tables, flashcards, quizzes and mind maps, with multi-account rotation and automatic re-authentication for high-volume batch runs. It is exposed both as an MCP server for Claude Code, Cursor and Codex and as a local HTTP REST API for n8n, Zapier, Make and plain curl.

Enables citation-backed Q&A and full Studio content generation (audio, video, infographics, reports, presentations, data tables, flashcards, quizzes, mind maps) against Google NotebookLM, with multi-account rotation and auto-reauth. Serves both MCP clients like Claude Code and Cursor and a 33-endpoint HTTP REST API for no-code tools such as n8n, Zapier, and Make.

Enables agents to query Google NotebookLM notebooks with citation-backed answers and to generate and download Studio artifacts such as audio overviews, video, infographics, reports, presentations, data tables, flashcards, quizzes and mind maps. Supports source ingestion, multi-turn sessions with auto-reauth, and multi-account rotation for high-volume batch runs.