10 #local-llm MCP Servers & Clients

MCP Client for Ollama (ollmcp)

jonigl

Harness the power of local LLMs with this TUI MCP Client for Ollama. Featuring all core MCP primitives (tools, prompts, resources), agent mode, multi-server, model switching, streaming responses, human-in-the-loop, thinking mode, model params config, system prompts, and saved pre

Cursor Chat History Vectorizer & Dockerized Search MCP

markelaugust74

API service to search vectorized Cursor IDE chat history using LanceDB and Ollama

PydanticAI MCP Experiment

eschmidt42

Minimalist examples to provide your own MCP servers to your local llm models.

CP Log Analyzer automatically triages your log files using a local AI model.

Check whether a task can run on a local model instead of cloud before every inference call. Saves money on every call that does not need cloud.

InferBench's MCP server lets coding agents run, serve and benchmark local LLMs (text + image, llama.cpp + Stable Diffusion) on your own hardware on demand. Measures real tokens/sec, picks the optimal quant for your GPU, and exposes a 124-model catalog. Local-first, no cloud requi

Oboyu (覚ゆ)

sonesuke

Self-hosted MCP Japanese text indexing & search—chunking+embeddings with BM25×vector rerank

local-llm-obsidian-knowledge-base

PSFW

A template repository that includes a dev container for running a local LLM and included knowledge base. Add a git repo using `git subtree` or `git submodule` and update it using an MCP Client/Server relationship i.e. `VS Code` extension like `Cline` and the `Filesystem`/`Obsidia

MCP-Ollama Client

Nagharjun17

Lightweight MCP client that uses a local Ollama LLM to query multiple MCP servers defined in config.json