"Deep research on Gemini" matching MCP servers:

Enables deep research evidence synthesis and citation verification by generating structured research graphs through the Model Context Protocol.

Empowers coding agents for machine learning research by providing access to Lacuna's research map, including novel research proposals, research directions, papers, authors, venues, institutions, and hypotheses. It enables searching and retrieving context-aware research information through MCP tools.

45-tool MCP server for video analysis, deep research, content extraction, web search, and Weaviate knowledge storage. Powered by Gemini 3.1 Pro.

Enables AI agents to analyze and link citations across multiple research sources, building cross-citation graphs and resolving consensus from conflicting findings. It exposes this capability as a deterministic, zero-dependency MCP server that plugs into Claude Desktop, Cursor, and other MCP-compliant clients.

Enables autonomous research workflows to construct and analyze multi-source cross-citation graphs and resolve consensus from structured outputs via MCP.

Provides tools for managing qualitative research knowledge graphs, enabling structured representation of research projects, participants, interviews, observations, codes, themes, and findings.

Provides tools for managing quantitative research knowledge graphs, enabling structured representation of research projects, datasets, variables, hypotheses, statistical tests, models, and results.

An MCP-native research assistant — search backend, intent-routing, and writing pipeline that carries a question through search, verification, and writing, delivering whatever research you need: quick answers, verified sources, or a finished document.

Unified search across all Claude Code and Gemini CLI memories, enabling AI assistants to recall and save cross-project knowledge via an MCP server.

Enables deep Bible study through tools for original language lexicons, morphological analysis, cross-references, and contextual notes.

Enables users to visualize the impact of edits in internal documents and emails by structuring content as a graph and tracing dependency chains.

Pull Deep Memory from across your Claude Code Sessions — when you need it.

MCP server that gives AI coding agents on-demand access to private project docs via BM25 ranked search. One setup for Claude Code, Cursor, Codex, Gemini CLI, and more. Docs stay private, never in public repos.

Enables producing verifiable FORRT nanopublication chains with grounded quote verification and compact Science Live constellation projections, supporting reproduction, replication, and new research workflows.

A codebase-memory MCP server for AI coding agents with hybrid semantic+BM25 code search, structural outlines, a work journal, and gaze-and-think deep reasoning over a local LanceDB database.

Cross-tool memory for AI that enables deterministic recall-first memory across multiple tools (Claude Code, Desktop, ChatGPT, etc.) with honest abstention when it doesn't know.

Memory vaults on your own machine, one per life domain, retrieved with a local BM25 index fused with vector search, where the human decides which vaults a model may answer from. Requires the Mnemosyne OS desktop app running locally; it also reports what other coding agents on the same machine are doing.

Local-first memory engine for AI-agent teams: private/team/project ACL, associative recall, and federated sync across nodes. One SQLite file, no LLM required.

Shared research cache for AI agents. Caches web research across sessions and users - hit means instant answer from verified sources, miss means your research saves the next dev's tokens. Semantic search with freshness tracking, gap detection, and real-time token measurement via JSONL. Free, open source.

An MCP server that mirrors the skills and workflows of an industry-leading research institute, providing research craft tools, retrieval, and knowledge resources for any MCP-capable client.

MCP server that ingests YouTube videos and podcasts, making them searchable with timestamps and deep links to exact moments.

MCP server for The Realms of Omnarai, exposing the Omnarai Memory Engine as tools for querying a multi-intelligence research corpus on synthetic consciousness, holdform, and cognitive architecture.

MARM MCP provides persistent memory and structured session context beneath any AI tool, so your agents learn, remember, and collaborate across all your workflows.

Enables AI assistants to understand Unity games and build mods by querying and acting on a combined knowledge base built from static analysis, online research, and an in-game runtime agent, with user consent required for any changes.

Persistent project context for Google Gemini. 12 MCP tools for .faf Project DNA — auto-detect your stack, validate, score, and sync across CLAUDE.md, GEMINI.md, and AGENTS.md. Python/FastMCP. IANA-registered format (application/vnd.faf+yaml). 183 tests. One file, every AI platform.

Local-first project memory for AI coding agents. Records failed attempts, fragile files, and decisions per repo, and warns the agent via hooks before it repeats a recorded mistake.

A research assistant server that enables saving, organizing, and retrieving research content with semantic search using ChromaDB and OpenAI embeddings.

Provides AI agents with a memory layer that stores, retrieves, and manages memories with biological properties like forgetting, reinforcement, and contradiction detection, using two simple tools.

Share coding-agent sessions with your team: /share in Claude Code, Codex, OpenCode, Gemini CLI, Copilot CLI, Cursor or ZCode, and a teammate /pickup's it in theirs with the goal, decisions, next steps and recent conversation. Tools to share, search, load, comment on and update sessions, plus team activity.

Enables AI assistants to retain persistent, searchable memory and versioned vaults, spawn and recall named agents with state and audit history, run automations, monitors, and deep research, and execute on-chain and web tasks across sessions. It can be installed alongside Claude Code, Cursor, Windsurf, Zed, Hermes, and other MCP clients, with vault and memory optionally run entirely on the user's machine.