"Information about Ollama" matching MCP servers:

Hardened MCP bridge to the full Ollama ecosystem — local and cloud models. 6 tools covering health, model management, chat, and generation with SSRF mitigation, singleton HTTP client, and structured error handling. Two deps, one file.

Review and rewrite LangChain, LlamaIndex, Ollama, and XRPL code against current APIs, plus runnable examples, import lookup, and XRPL tx skeletons that never submit. Live docs included. $0.001 USDC on Base or 1000 drops XRP.

An MCP server that lets Claude Code delegate coding tasks such as code generation, review, refactoring, and test writing to a local Ollama instance running a Qwen3 model.

Enables AI assistants to search, compare, and get detailed information about MCP servers from the mcpcatalogs.com directory.

Search and retrieve detailed information about Swiss companies from the official Zefix register, including company profiles, corporate structures, and SHAB publications.

MCP server that lets AI assistants query current, dated information about PatientNotes, an AI medical scribe, covering pricing, features, languages, compliance, and competitor comparisons.

Enables AI assistants to search and retrieve information about Terraform providers and modules from the public Terraform registry, including detailed documentation, version information, and resource specifications.

Provides real-time system metrics and information through a Model Context Protocol interface, enabling access to CPU usage, memory statistics, disk information, network status, and running processes.

Enables performing web searches and fetching web page content via Ollama's hosted APIs, providing search results and raw page data.

Enables users to interact with container registries through the ORAS CLI, providing information about container images, platforms, and signatures via natural language queries.

An MCP server that provides real-time information about the Zaragoza tram system, including arrival estimations and station details through the DNDzgz API.

Connects MCP-compatible coding agents to VMware vCenter to query information about virtual machines, hosts, clusters, datastores, datacenters, and networks.

A persistent memory implementation using a local knowledge graph that lets Claude remember information about users across conversations.

Enables consulting with local Ollama models for reasoning from alternative viewpoints. Supports sending prompts to Ollama models and listing available models on your local Ollama instance.

Provides three MCP servers for Claude Code to access free/low-cost LLM models: GLM (Zhipu), Kimi (Moonshot), and local Ollama, enabling chat, vision, and offline tasks via natural language.

This is a Model Context Protocol (MCP) server adaptation of LangChain Ollama Deep Researcher. It provides the deep research capabilities as MCP tools that can be used within the model context protocol ecosystem, allowing AI assistants to perform in-depth research on topics (locally) via Ollama

Enables AI assistants to perform semantic search and retrieval across codebases stored in Qdrant, using Ollama models for GPU-accelerated embeddings.

Enables querying detailed information about characters, echoes, and character profiles from the Wuthering Waves game, returning results in LLM-optimized Markdown format.

A Model Context Protocol server that provides natural language access to Cortex API, enabling users to query information about their system's structure and make faster decisions about services, incidents, and team responsibilities.

Enables MCP-compatible clients to access local or cloud LLMs, manage and run models, generate completions and embeddings, chat with tool/function support, and use web search/fetch through Ollama Cloud.

Provides access to Turkish higher education data, enabling search and retrieval of detailed information about bachelor's and associate degree programs from universities across Turkey.

Enables MCP-compatible AI assistants to manage and use local or cloud-hosted language models, including listing and pulling models, chatting, generating text and embeddings, and performing web search and fetch operations.

Enables MCP-compatible clients to interact with local and cloud Ollama models by exposing Ollama SDK functionality as tools for model management, text generation, chat, embeddings, and web search/fetch.

Enables MCP-compatible applications to manage and use local or cloud-hosted models, including listing, pulling, generating, chatting, embeddings, and web search/fetch through a unified tool interface.

A bridge that enables Claude Code to interact with local Ollama instances for text generation, multi-turn chat, and vision-based analysis. It supports model management tasks such as listing, pulling, and showing details, alongside generating text embeddings.

Enables AI assistants to manage and run local or cloud models, perform chat and text generation, create embeddings, and use web search and page fetching through standardized tools.

Enables searching and retrieving detailed information about movies, TV shows, and people from The Movie Database (TMDB), including streaming availability, via the Model Context Protocol.

Facilitates retrieval of National Park Services data using the NPS API, allowing users to list national parks by state and access detailed information about specific parks.

Exposes the complete Ollama SDK as MCP tools so MCP clients like Claude Desktop and Cline can manage models, run chat and text generation, create embeddings, and access cloud-based web search and fetch. Supports local, cloud, and hybrid deployments through host and API key configuration.

Exposes the Ollama SDK as MCP tools, letting MCP-compatible clients manage local and cloud models, run chat/generation/embeddings, and perform cloud-backed web search and fetch.