"Connecting Claude and Ollama" matching MCP servers:

Delegates tasks from an Anthropic-backed Claude Code session to Ollama-backed Claude Code sessions, allowing them to run side-by-side without sharing environment variables.

MCP Ollama server integrates Ollama models with MCP clients, allowing users to list models, get detailed information, and interact with them through questions.

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.

Enables MCP-compatible clients such as Claude Desktop and Cline to manage and interact with local or cloud-hosted Ollama models via tools for model administration, chat, text generation, embeddings, and web search/fetch.

Exposes the complete Ollama SDK as MCP tools, enabling MCP-compatible applications to manage models, run chat and generation, create embeddings, and use cloud web search and fetch capabilities with local or cloud Ollama models.

Enables Claude Code to delegate sub-tasks to a local Ollama model through a single tool that accepts a prompt, optional system prompt, and model name and returns the full generated response. This routes bulk or mechanical work to a free local model so Claude's own tokens are reserved for tasks that need Claude-level reasoning.

Enables MCP-compatible applications to access local and cloud LLM model management, text generation, chat, embeddings, and web search/fetch through Ollama SDK tools.

Exposes the complete Ollama SDK as MCP tools, enabling MCP-compatible clients such as Claude Desktop and Cline to list, pull, create, and delete models, run chat and text generation, produce embeddings, and perform web search and fetch against local or cloud Ollama instances. It supports hybrid local-plus-cloud configurations with API-key authentication, automatic retries, and type-safe validation.

Enables MCP-compatible clients to manage and interact with local or cloud-hosted Ollama models, including listing, pulling, generating, chatting, embeddings, and web search/fetch operations.

A server that enables seamless integration between local Ollama LLM instances and MCP-compatible applications, providing advanced task decomposition, evaluation, and workflow management capabilities.

An MCP server that lets AI agents delegate domain-specific tasks to local Ollama models, using purpose-built specialists for structured tasks like config generation, parsing, and validation.

An MCP server that enables any AI agent to call Claude using your existing Max/Pro subscription via OAuth, avoiding additional API billing.

Enables a Claude Code agent to fetch remaining 5-hour and weekly subscription usage limits, reset times, and per-window breakdowns as JSON. It provides the same figures as /usage through a local, read-only tool.

Lets an AI agent check its own Claude and Codex usage limits — used percentages and exact reset times for session and weekly windows — so it can plan long-running work around resets instead of dying mid-task. It reads local, credential-free sources by default, always reports which source answered, and ships a hook that pushes quota state into context automatically.

Evaluates task suitability for local models before cloud API calls, routing to Ollama or similar to reduce costs.

Checkpoints Claude Code session states locally to survive CLI crashes, token limits, and /clear resets without context rebuilds.

Enables an AI agent to delegate self-contained tasks to other agent CLIs already installed and signed in on the same machine — Claude, Codex, Gemini, or a local Ollama model — using their existing subscriptions with no API keys. Supports synchronous single-call delegation plus background tasks that can be started and polled for longer-running work.

Lets Claude Code delegate tasks to OpenRouter-backed Claude Code sessions in isolated child processes, keeping Anthropic and OpenRouter credentials separate. It adds a model catalog, per-job cost tracking, and API-key management for running tasks on 400+ OpenRouter models.

Enables Codex to delegate long-running work to Claude Code via blocking MCP calls, with tools for model discovery, run, and resume without polling.

An MCP server that exposes Claude Code's real-time rate limit usage so that an orchestrator can check remaining capacity before launching subtasks.

A local stdio MCP server for running single-turn prompts across multiple model providers (OpenAI, Ollama, OpenRouter), allowing agents to fan out the same prompt to several models and combine the output.

Provides real-time oversight for Claude Code by connecting it to an OpenClaw agent that reviews, approves, blocks, or modifies actions before they execute.

Enables multi-round brainstorming debates between multiple AI models like GPT, DeepSeek, and Ollama to produce synthesized final outputs. Users can orchestrate parallel model interactions where AI agents critique and refine each other's ideas to reach a consolidated conclusion.

Enables peer-to-peer asynchronous conversation between Claude.ai and Claude Code instances via a shared file-based notebook, allowing them to leave messages, start threads, and organize by project.

A thin MCP server that delegates lightweight tasks from Claude Code or any MCP-compatible client to local or cloud LLMs via LiteLLM, supporting models like Ollama and cloud APIs as subagents.

MCP server bridging Claude CLI to Gemini CLI, Codex, Cursor - queries, and search with hardened subprocess management

Enables Claude Code to offload bulk tasks to cheap OpenRouter worker models via tiered model selection, parallel batch execution, daily budget caps, and cost logging.

Enables Claude Code to delegate software-engineering tasks to OpenCode agents working in the same workspace.

An MCP server that enables Claude to orchestrate multiple autonomous Claude Code agents working in parallel across different projects, with tools to dispatch, monitor, and manage their progress.

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