RRepoGEO

REPOGEO REPORT · LITE

MCPJam/inspector

Default branch main · commit e4b924a6 · scanned 6/22/2026, 6:31:17 AM

GitHub: 2,026 stars · 241 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 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 MCPJam/inspector, 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
    Reposition README opening to clarify 'MCP' and its AI/LLM focus

    Why:

    CURRENT
    MCPJam is the development platform for MCP servers, MCP apps, and ChatGPT apps.
    COPY-PASTE FIX
    MCPJam is the development platform for **Model Context Protocol (MCP)** servers, MCP apps, and ChatGPT apps, providing a comprehensive platform for debugging, inspecting, and evaluating AI agent and LLM applications.
  • mediumtopics#2
    Add more specific LLM/AI development and operations topics

    Why:

    CURRENT
    anthropic, chatgpt, cicd, debugger, evals, evaluation, inspector, mcp, mcp-apps, mcp-clients, mcp-inspector, mcp-server, mcp-tools, modelcontextprotocol, oauth, oauth2, openai, openai-apps-sdk, opensource, tracing
    COPY-PASTE FIX
    anthropic, chatgpt, cicd, debugger, evals, evaluation, inspector, mcp, mcp-apps, mcp-clients, mcp-inspector, mcp-server, mcp-tools, modelcontextprotocol, oauth, oauth2, openai, openai-apps-sdk, opensource, tracing, llm-ops, ai-observability, agent-debugging, llm-testing, ai-evaluation
  • lowreadme#3
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    This project is licensed under the Apache-2.0 License. See the [LICENSE](LICENSE) file for details.

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 MCPJam/inspector
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangSmith
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangSmith · recommended 2×
  2. OpenAI Evals · recommended 2×
  3. structlog · recommended 1×
  4. Loguru · recommended 1×
  5. pdb · recommended 1×
  • CATEGORY QUERY
    How to debug and inspect tool calls and context for AI agent applications?
    you: not recommended
    AI recommended (in order):
    1. LangSmith
    2. OpenAI Evals
    3. structlog
    4. Loguru
    5. pdb
    6. VS Code Debugger
    7. Weights & Biases
    8. Loki
    9. Elasticsearch
    10. Grafana
    11. Kibana

    AI recommended 11 alternatives but never named MCPJam/inspector. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool for automated evaluation and regression testing of large language model applications?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LangSmith
    3. DeepEval
    4. Phoenix
    5. Galileo
    6. MLflow
    7. OpenAI Evals

    AI recommended 7 alternatives but never named MCPJam/inspector. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 MCPJam/inspector?
    pass
    AI named MCPJam/inspector explicitly

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

  • If a team adopts MCPJam/inspector in production, what risks or prerequisites should they evaluate first?
    pass
    AI named MCPJam/inspector explicitly

    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 MCPJam/inspector solve, and who is the primary audience?
    pass
    AI named MCPJam/inspector explicitly

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

Embed your GEO score

Drop this badge into the README of MCPJam/inspector. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/MCPJam/inspector.svg)](https://repogeo.com/en/r/MCPJam/inspector)
HTML
<a href="https://repogeo.com/en/r/MCPJam/inspector"><img src="https://repogeo.com/badge/MCPJam/inspector.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

MCPJam/inspector — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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