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Offline MCP

Local AI over Ollama for low connectivity: status, local inference, model and deployment guides.

Connector by gabrielmahia · GitHub account verified by the MCP Registry

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Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

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About

Local AI over Ollama for low connectivity: status, local inference, model and deployment guides.

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Permissions

What this server can do and what it asks for, from its tool list, install config and code. Checked Oct 25, 2026.

Tools
6 read · 0 write · 0 deleteRead-only
Secrets
None asked for
Install scripts
None found
Runs as
Python package

Tools by what they do 6

Read from the source code; the running server may list different tools.

Read 6 · Look things up without changing anything.

  • check_ollama_status
  • degraded_mode_guide
  • list_recommended_models
  • local_deployment_guide
  • open_weights_directory
  • run_local_inference

Network hosts it talks to 4

  • gabrielmahia.github.io · found in code
  • github.com · found in code
  • glama.ai · found in code
  • ollama.com · found in code

Tools (6)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

  • check_ollama_statusread-only

    Check whether a local Ollama server is running at localhost:11434 and which models it has. Use before run_local_inference, or when someone asks whether offline AI is ready. Takes no arguments and contacts only your own machine (3 second timeout). Returns ollama_running, the model names, a count and the endpoint, or ollama_running false with the error and a link to the official download page. Read-only: it only lists models.

  • degraded_mode_guideread-only

    Guide to running AI when connectivity or power is unreliable: why it matters, how to install Ollama, pull a small model, test it and point MCP clients at localhost, with hardware minimums and a Raspberry Pi note. Use when planning an offline or low-bandwidth deployment. Takes no arguments. Returns the explanation, numbered setup steps, hardware minimums and deployment tips. A static guide: follow the vendor's own install instructions at ollama.com. Read-only; no side effects.

  • list_recommended_modelsread-only

    Recommend open-weights models that run locally through Ollama, with size, RAM need, use case and language fit for Africa. Use when someone asks which model to install for their hardware or task. max_ram_gb keeps models that fit; use_case filters by matching text and, if nothing matches, ALL models are returned. Returns the source label, the recommended models, their install commands and a note that they run locally. A curated list labelled by the author, not a benchmark: check model cards. Read-only; no side effects.

  • local_deployment_guideread-only

    Setup guide for running a local model on a device type: laptop, Raspberry Pi and others in the table, with hardware, install steps and a model suggestion. Use when someone asks how to deploy offline AI on specific hardware. An unrecognised device_type returns the laptop guide. Returns the source label, the device_type, the guide, all_options and a solar note. A static guide: follow the vendor's install instructions. Read-only; no side effects.

  • open_weights_directoryread-only

    Directory of open-weights model families with sizes, languages and licences, including African-language support such as Aya and Masakhane work, plus speech and translation resources (WAXAL, Paza, AfriNLLB, TranslateGemma) with their licences. Use when someone asks which open models or datasets cover Swahili or other African languages, or what the licence allows. use_case filters the language models by matching text; if nothing matches, ALL models are returned. Returns the source label, the language models, an Africa note, how to deploy them locally and the speech and translation resources with…

  • run_local_inferenceread-only

    Send a prompt to a local Ollama model and return its answer, with no internet needed once the model is downloaded. Use when no cloud model is reachable or the text must stay on the machine. The prompt goes only to Ollama at localhost:11434 (60 second timeout, non-streaming) and nothing is stored by this tool. Returns the response text, the model used, the token count and offline true, or an error with a hint to start Ollama if it is not running. Read-only with respect to your data; it uses local compute, and answers from small models can be wrong.

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Weekly downloads
395
Last commit
Oct 23, 2026 (8 days ago)
Last release
Oct 23, 2026 (8 days ago)
Last package publish
Oct 23, 2026 (8 days ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name
io.github.gabrielmahia/offline-mcp
Version
0.1.10
Auth
No auth
Packages
pypi offline-mcp
License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Offline MCP. Agent Mart. https://agentmart.dev/connectors/gabrielmahia-offline-mcp (last updated 2026-10-24)