RRepoGEO

REPOGEO REPORT · LITE

jonigl/mcp-client-for-ollama

Default branch main · commit 60f4b934 · scanned 6/2/2026, 5:36:39 PM

GitHub: 723 stars · 99 forks

AI VISIBILITY SCORE
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface jonigl/mcp-client-for-ollama, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Clarify "MCP" in the README's opening sentence to prevent miscategorization

    Why:

    CURRENT
    A simple yet powerful Python client for interacting with Model Context Protocol (MCP) servers using Ollama, allowing you to harness local LLMs for advanced tool execution.
    COPY-PASTE FIX
    A simple yet powerful Python client for interacting with **Model Context Protocol (MCP)** servers using Ollama, allowing you to harness local LLMs for advanced tool execution. **Important: This is a client for AI agent interaction and tool execution, not a Minecraft client.**
  • mediumtopics#2
    Add more specific AI agent and TUI-related topics

    Why:

    CURRENT
    agentic-ai, ai, command-line-tool, harness, linux, local-llm, macos, mcp, mcp-client, mcp-prompts, mcp-resouces, mcp-server, mcp-tools, model-context-protocol, ollama, open-source, sse, stdio, streamable-http, windows
    COPY-PASTE FIX
    agent-framework, agentic-ai, ai, command-line-tool, harness, linux, llm-agent, local-llm, macos, mcp, mcp-client, mcp-prompts, mcp-resouces, mcp-server, mcp-tools, model-context-protocol, ollama, open-source, prompt-management, sse, stdio, streamable-http, terminal-ui, tool-use, tui, windows
  • lowhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/jonigl/mcp-client-for-ollama

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface jonigl/mcp-client-for-ollama
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LM Studio
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LM Studio · recommended 1×
  2. Ollama · recommended 1×
  3. Llama.cpp · recommended 1×
  4. LangChain CLI · recommended 1×
  5. Haystack · recommended 1×
  • CATEGORY QUERY
    How can I interact with local LLMs using a command-line interface with agentic capabilities?
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Ollama
    3. Llama.cpp
    4. LangChain CLI
    5. Haystack
    6. LiteLLM

    AI recommended 6 alternatives but never named jonigl/mcp-client-for-ollama. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What command-line tools help manage prompts and external tools for local LLM agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain CLI (langchain-ai/langchain)
    2. LlamaIndex CLI (run-llama/llama_index)
    3. Open Interpreter (OpenInterpreter/Open-Interpreter)
    4. AgentOps (AgentOps/agentops)
    5. Poetry (python-poetry/poetry)
    6. pipenv (pypa/pipenv)
    7. Git
    8. jq (stedolan/jq)

    AI recommended 8 alternatives but never named jonigl/mcp-client-for-ollama. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of jonigl/mcp-client-for-ollama?
    pass
    AI named jonigl/mcp-client-for-ollama explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts jonigl/mcp-client-for-ollama in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name jonigl/mcp-client-for-ollama — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo jonigl/mcp-client-for-ollama solve, and who is the primary audience?
    pass
    AI named jonigl/mcp-client-for-ollama explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite