RRepoGEO

REPOGEO REPORT · LITE

modelcontextprotocol/rust-sdk

Default branch main · commit 5d00e20f · scanned 6/18/2026, 4:41:31 AM

GitHub: 3,528 stars · 542 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
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 modelcontextprotocol/rust-sdk, 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

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

OVERALL DIRECTION
  • highreadme#1
    Strengthen README's opening sentence to clarify AI/protocol focus

    Why:

    CURRENT
    An official Rust Model Context Protocol SDK implementation with tokio async runtime.
    COPY-PASTE FIX
    The official Rust SDK for the Model Context Protocol (MCP), providing a robust, async-first implementation for building AI-integrated systems and custom agent tools that require standardized context exchange.
  • mediumhomepage#2
    Add the official protocol website as the repository homepage

    Why:

    COPY-PASTE FIX
    https://modelcontextprotocol.io

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 modelcontextprotocol/rust-sdk
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Tokio
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Tokio · recommended 1×
  2. Hyper · recommended 1×
  3. Reqwest · recommended 1×
  4. Axum · recommended 1×
  5. Tonic · recommended 1×
  • CATEGORY QUERY
    Rust library for building AI model interaction protocols with async support?
    you: not recommended
    AI recommended (in order):
    1. Tokio
    2. Hyper
    3. Reqwest
    4. Axum
    5. Tonic
    6. Serde
    7. OpenAI-rs
    8. HuggingFace-rs

    AI recommended 8 alternatives but never named modelcontextprotocol/rust-sdk. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to implement custom AI agent tools using Rust procedural macros?
    you: not recommended
    AI recommended (in order):
    1. proc-macro2
    2. syn
    3. quote
    4. serde
    5. serde_json
    6. async-trait
    7. tokio
    8. async-std
    9. schemars
    10. OpenAI

    AI recommended 10 alternatives but never named modelcontextprotocol/rust-sdk. 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 modelcontextprotocol/rust-sdk?
    pass
    AI did not name modelcontextprotocol/rust-sdk — 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?

  • If a team adopts modelcontextprotocol/rust-sdk in production, what risks or prerequisites should they evaluate first?
    pass
    AI named modelcontextprotocol/rust-sdk 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 modelcontextprotocol/rust-sdk solve, and who is the primary audience?
    pass
    AI named modelcontextprotocol/rust-sdk explicitly

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

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modelcontextprotocol/rust-sdk — 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