How does the server handle pagination?

It automatically walks through all four cursor styles to fetch paginated data transparently.

Can I use this server with any AI agent?

Yes, it supports the MCP stdio protocol and works with clients like Claude, Cursor, Windsurf, Cline, and others.

Are there built-in safety measures for destructive API calls?

Yes, 43 destructive methods are double-gated to prevent accidental execution.

Does the server support multiple languages for search?

Yes, it supports BM25 search in both Russian and English across the catalog.

Ozon MCP

Q: What API credentials are required to run this server?

You need Ozon Seller API credentials: Client-Id and Api-Key for Seller and Performance APIs.

e-commerceozonseller-apianalyticspagination

MCP server exposing the full Ozon Seller and Performance APIs with 466 methods and 15 tools, including auto-pagination and analytics.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON ▾

No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for PCDCK/ozon-mcp, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.

Overview

This MCP server provides comprehensive access to the Ozon Seller and Performance APIs, enabling AI agents to interact with 466 indexed methods across 15 tools. It supports automatic pagination over four cursor styles, rate-limit handling with exponential back-off, and subscription-tier awareness. The server includes 13 curated analytical workflows for common seller scenarios and supports Russian and English BM25 catalog search. Use it to automate, analyze, and manage Ozon seller cabinet data via AI agents.

Use cases

Fetch complete product lists with automatic pagination

Run out-of-stock risk and sales analytics workflows

Search the Ozon catalog in Russian or English

Manage subscription-tier and rate limits automatically

Execute any of 466 Seller and Performance API methods safely

Key features

466 fully indexed API methods with JSON Schema

15 high-level MCP tools for seller and performance data

Automatic pagination over 4 cursor styles

Subscription-tier pre-flight and rate-limit back-off

13 pre-built analytical workflows for seller insights

Russian and English BM25 catalog search

Capabilities & Tool Schemas (15)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by Ozon MCP.

ozon_call_method

Execute any Ozon API method with safety + subscription guards

ozon_fetch_all

Auto-paginate — get every page, not just the first

ozon_describe_method

Full docs for a method: schema, examples, rate limit, quirks

ozon_search_methods

BM25 search across 466 methods (Russian or English, with stemming)

ozon_list_sections

Browse the API by section

ozon_get_section

All methods inside one section

Documentation Overview

ozon-mcp

MCP server for the Ozon Seller & Performance APIs. Connect any AI agent to your Ozon cabinet in minutes.

ozon-mcp is a knowledge-rich MCP server that turns the entire Ozon seller toolkit into 15 high-leverage tools. AI agents (Claude, Cursor, Cline, Continue, Goose, Zed, …) can search the API in Russian or English, drill into any of 466 methods with a fully-resolved JSON Schema, and execute calls with built-in safety guards. Subscription- aware, automatic pagination over all 4 cursor styles, retry/back-off on 429s, and 13 ready-to-use analytical workflows.

Key facts: 466 indexed methods (420 Seller + 46 Performance), 55 sections, 5 subscription tiers modelled, 38 paginated endpoints auto-walked, 43 destructive methods double-gated, 13 curated workflows for typical seller scenarios.

Quick start

Prerequisites

Python 3.12 or 3.13
uv package manager — install with curl -LsSf https://astral.sh/uv/install.sh | sh
Ozon Seller API credentials (Client-Id + Api-Key) — get them at https://seller.ozon.ru/app/settings/api-keys

Installation

bash

git clone https://github.com/PCDCK/ozon-mcp.git
cd ozon-mcp
uv sync

Verify it works

bash

uv run ozon-mcp --help

You should see the FastMCP usage line. The server speaks the MCP stdio protocol — point any compatible client at it (instructions below).

Connecting to your AI agent

ozon-mcp uses the standard MCP stdio transport. Every example below exposes the same 15 tools — pick whichever client you already use.

Claude Desktop

Edit: ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows).

config.json

{
  "mcpServers": {
    "ozon": {
      "command": "uv",
      "args": ["--directory", "/absolute/path/to/ozon-mcp",
                "run", "ozon-mcp"],
      "env": {
        "OZON_CLIENT_ID": "your-seller-client-id",
        "OZON_API_KEY": "your-seller-api-key",
        "OZON_PERFORMANCE_CLIENT_ID": "your-perf-client-id",
        "OZON_PERFORMANCE_CLIENT_SECRET": "your-perf-secret"
      }
    }
  }
}

Claude Code (CLI)

bash

cd /path/to/ozon-mcp
claude mcp add ozon -- uv run ozon-mcp

Or add to ~/.claude/mcp.json with the same shape as the Claude Desktop config above.

Cursor

Settings → MCP → Add new MCP Server, or edit ~/.cursor/mcp.json:

config.json

{
  "mcpServers": {
    "ozon": {
      "command": "uv",
      "args": ["--directory", "/absolute/path/to/ozon-mcp",
                "run", "ozon-mcp"]
    }
  }
}

Windsurf

Edit ~/.codeium/windsurf/mcp_config.json:

config.json

{
  "mcpServers": {
    "ozon": {
      "command": "uv",
      "args": ["--directory", "/absolute/path/to/ozon-mcp",
                "run", "ozon-mcp"]
    }
  }
}

Cline (VS Code extension)

Cline → Settings → MCP Servers → Add:

config.json

{
  "ozon": {
    "command": "uv",
    "args": ["--directory", "/absolute/path/to/ozon-mcp",
              "run", "ozon-mcp"]
  }
}

Continue.dev

Edit ~/.continue/config.json:

config.json

{
  "experimental": {
    "modelContextProtocolServers": [
      {
        "transport": {
          "type": "stdio",
          "command": "uv",
          "args": ["--directory", "/absolute/path/to/ozon-mcp",
                    "run", "ozon-mcp"]
        }
      }
    ]
  }
}

Goose, Zed, or any other MCP client

Any client that speaks MCP stdio will work. Generic config:

yaml

command: uv
args: ["--directory", "/absolute/path/to/ozon-mcp", "run", "ozon-mcp"]
transport: stdio
env:
  OZON_CLIENT_ID: ...
  OZON_API_KEY: ...

Browse the official MCP client list at https://modelcontextprotocol.io/clients.

Usage examples

All examples below show realistic responses copied from tests/fixtures/responses/ — anonymized identifiers (99000001, TEST-SKU-001) but real shape.

Example 1 — Get all your products

You: Use ozon_fetch_all with operation_id="ProductAPI_GetProductList" to get all my products.

The agent calls:

config.json

{
  "operation_id": "ProductAPI_GetProductList",
  "params": {"filter": {"visibility": "ALL"}},
  "max_items": 10000
}

Server walks the last_id cursor automatically and returns:

config.json

{
  "ok": true,
  "items": [
    {"product_id": 99000001, "offer_id": "TEST-SKU-001", "archived": false},
    {"product_id": 99000002, "offer_id": "TEST-SKU-002", "archived": false},
    {"product_id": 99000003, "offer_id": "TEST-SKU-003", "archived": true}
  ],
  "total_fetched": 3,
  "truncated": false,
  "pages_fetched": 1
}

Example 2 — Find products at risk of going out of stock

You: Run the oos_risk_analysis workflow for my cabinet.

Agent first inspects the workflow:

json

ozon_get_workflow({"name": "oos_risk_analysis"})

→ tells the agent to call AnalyticsAPI_StocksTurnover (rate-limited to 1 req/min — the server's per-endpoint queue handles that for you) and how to interpret turnover_grade. The call returns:

config.json

{
  "items": [
    {"sku": 99000001, "current_stock": 12, "ads": 1.5,
     "idc": 8.0, "turnover_grade": "DEFICIT",
     "turnover_grade_cluster": "DEFICIT_GROWING"},
    {"sku": 99000002, "current_stock": 25, "ads": 0.8,
     "idc": 31.25, "turnover_grade": "OPTIMAL",
     "turnover_grade_cluster": "OPTIMAL_FALLING"},
    {"sku": 99000003, "current_stock": 0, "ads": 0.0,
     "idc": 0.0, "turnover_grade": "NO_SALES",
     "turnover_grade_cluster": "NO_SALES"}
  ]
}

The workflow's interpret field tells the agent to flag SKUs where idc < 14 or turnover_grade ∈ {DEFICIT, NO_SALES} and surface them sorted by idc asc.

Example 3 — Full cabinet health check

You: Check the health of my Ozon cabinet using the cabinet_health_check workflow.

The workflow tells the agent to read three endpoints in parallel — RatingAPI_RatingSummaryV1, SellerAPI_SellerInfo, AverageDeliveryTimeSummary. The first call returns:

config.json

{
  "groups": [
    {
      "group_name": "Выполнение заказов",
      "items": [
        {"rating": "rating_on_time", "name": "Процент заказов вовремя",
         "current_value": 97.5, "status": "OK", "value_type": "PERCENT"},
        {"rating": "rating_review_avg_score", "name": "Средняя оценка",
         "current_value": 4.7, "status": "OK", "value_type": "RATING"}
      ]
    },
    {
      "group_name": "Качество сервиса",
      "items": [
        {"rating": "rating_price_index", "name": "Индекс цен",
         "current_value": 1.01, "status": "OK", "value_type": "INDEX"}
      ]
    }
  ],
  "premium_scores": [
    {"rating": "rating_on_time", "value": 97.5,
     "penalty_score_per_day": 0, "scope": "premium_plus"}
  ]
}

Example 4 — Analyze product pricing

You: Which of my products have a red price index?

Agent runs the pricing_analysis workflow and inspects the price_indexes.color_index field on every item:

config.json

{
  "product_id": 99000001, "offer_id": "TEST-SKU-001",
  "price": {"price": "399.0000", "marketing_seller_price": "399.0000",
             "min_price": "299.0000"},
  "price_indexes": {
    "color_index": "WITHOUT_INDEX",
    "ozon_index_data": {"minimal_price": "395.0000",
                          "price_index_value": 1.01}
  },
  "commissions": {"sales_percent_fbo": 0.13, "sales_percent_fbs": 0.13}
}

The workflow's common_mistakes list reminds the agent to compare against marketing_seller_price (the actual buyer-facing price), not just the base price.

Example 5 — Content audit

You: Find products with low content rating and tell me what to improve.

Agent runs content_audit, gets per-SKU ratings + the list of attributes that would lift the score:

config.json

{
  "products": [
    {
      "sku": 99000001, "rating": 85,
      "groups": [
        {"key": "media", "rating": 100},
        {"key": "characteristics", "rating": 75,
         "improve_attributes": [
           {"id": 4191, "name": "Цвет"},
           {"id": 8292, "name": "Материал"}
         ],
         "improve_at_least": 4}
      ]
    }
  ]
}

The workflow tells the agent that a +10 lift to rating measurably improves search ranking — so filling in those two attributes is worth ~4 points.

Available tools (15)

Tool	What it does
`ozon_call_method`	Execute any Ozon API method with safety + subscription guards
`ozon_fetch_all`	Auto-paginate — get every page, not just the first
`ozon_describe_method`	Full docs for a method: schema, examples, rate limit, quirks
`ozon_search_methods`	BM25 search across 466 methods (Russian or English, with stemming)
`ozon_list_sections`	Browse the API by section
`ozon_get_section`	All methods inside one section
`ozon_list_workflows`	List ready-made analytical workflows (filterable by category)
`ozon_get_workflow`	Full step-by-step plan for one workflow
`ozon_get_related_methods`	Methods that work well together (auto-extracted graph)
`ozon_get_examples`	Curated request/response examples for a method
`ozon_get_rate_limits`	Per-method, per-section, or all
`ozon_get_subscription_status`	Read your current cabinet's subscription tier
`ozon_list_methods_for_subscription`	What you unlock on a given tier
`ozon_get_swagger_meta`	Check that bundled API specs are still fresh
`ozon_get_error_catalog`	Look up any Ozon error code

Ready-made workflows (13)

Read the full README →View source on GitHub →

Related MCP Servers

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

Last commit

4mo ago

Most recent push to the default branch.

Tools exposed

Callable tools this server registers over MCP.

Directory activity

2 views

Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Ozon MCP

You need Ozon Seller API credentials: Client-Id and Api-Key for Seller and Performance APIs.

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Technical Specs & Signals

CategoryE-Commerce

PricingBring your own API key (usage-based cost)

1/4 checks healthy over the last 32d

51Quality signal: Good · 51/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools25/30

Adoption & activity3/15

Community engagement0/10

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More in 🛒 E-Commerce →Best MCP servers for E-Commerce →Alternatives to Ozon MCP →Install in Claude Desktop Install in Cursor Install in VS Code

Ozon MCP

e-commerceozonseller-apianalyticspagination

MCP server exposing the full Ozon Seller and Performance APIs with 466 methods and 15 tools, including auto-pagination and analytics.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Manual Client & Custom JSON ConfigExpand JSON ▾

Overview

Use cases

Fetch complete product lists with automatic pagination

Run out-of-stock risk and sales analytics workflows

Search the Ozon catalog in Russian or English

Manage subscription-tier and rate limits automatically

Execute any of 466 Seller and Performance API methods safely

Key features

466 fully indexed API methods with JSON Schema

15 high-level MCP tools for seller and performance data

Automatic pagination over 4 cursor styles

Subscription-tier pre-flight and rate-limit back-off

13 pre-built analytical workflows for seller insights

Russian and English BM25 catalog search

Capabilities & Tool Schemas (15)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by Ozon MCP.

ozon_call_method

Execute any Ozon API method with safety + subscription guards

ozon_fetch_all

Auto-paginate — get every page, not just the first

ozon_describe_method

Full docs for a method: schema, examples, rate limit, quirks

ozon_search_methods

BM25 search across 466 methods (Russian or English, with stemming)

ozon_list_sections

Browse the API by section

ozon_get_section

All methods inside one section

Documentation Overview

ozon-mcp

MCP server for the Ozon Seller & Performance APIs. Connect any AI agent to your Ozon cabinet in minutes.

Quick start

Prerequisites

Python 3.12 or 3.13
uv package manager — install with curl -LsSf https://astral.sh/uv/install.sh | sh
Ozon Seller API credentials (Client-Id + Api-Key) — get them at https://seller.ozon.ru/app/settings/api-keys

Installation

bash

git clone https://github.com/PCDCK/ozon-mcp.git
cd ozon-mcp
uv sync

Verify it works

bash

uv run ozon-mcp --help

You should see the FastMCP usage line. The server speaks the MCP stdio protocol — point any compatible client at it (instructions below).

Connecting to your AI agent

ozon-mcp uses the standard MCP stdio transport. Every example below exposes the same 15 tools — pick whichever client you already use.

Claude Desktop

Edit: ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows).

config.json

{
  "mcpServers": {
    "ozon": {
      "command": "uv",
      "args": ["--directory", "/absolute/path/to/ozon-mcp",
                "run", "ozon-mcp"],
      "env": {
        "OZON_CLIENT_ID": "your-seller-client-id",
        "OZON_API_KEY": "your-seller-api-key",
        "OZON_PERFORMANCE_CLIENT_ID": "your-perf-client-id",
        "OZON_PERFORMANCE_CLIENT_SECRET": "your-perf-secret"
      }
    }
  }
}

Claude Code (CLI)

bash

cd /path/to/ozon-mcp
claude mcp add ozon -- uv run ozon-mcp

Or add to ~/.claude/mcp.json with the same shape as the Claude Desktop config above.

Cursor

Settings → MCP → Add new MCP Server, or edit ~/.cursor/mcp.json:

config.json

{
  "mcpServers": {
    "ozon": {
      "command": "uv",
      "args": ["--directory", "/absolute/path/to/ozon-mcp",
                "run", "ozon-mcp"]
    }
  }
}

Windsurf

Edit ~/.codeium/windsurf/mcp_config.json:

config.json

{
  "mcpServers": {
    "ozon": {
      "command": "uv",
      "args": ["--directory", "/absolute/path/to/ozon-mcp",
                "run", "ozon-mcp"]
    }
  }
}

Cline (VS Code extension)

Cline → Settings → MCP Servers → Add:

config.json

{
  "ozon": {
    "command": "uv",
    "args": ["--directory", "/absolute/path/to/ozon-mcp",
              "run", "ozon-mcp"]
  }
}

Continue.dev

Edit ~/.continue/config.json:

config.json

{
  "experimental": {
    "modelContextProtocolServers": [
      {
        "transport": {
          "type": "stdio",
          "command": "uv",
          "args": ["--directory", "/absolute/path/to/ozon-mcp",
                    "run", "ozon-mcp"]
        }
      }
    ]
  }
}

Goose, Zed, or any other MCP client

Any client that speaks MCP stdio will work. Generic config:

yaml

command: uv
args: ["--directory", "/absolute/path/to/ozon-mcp", "run", "ozon-mcp"]
transport: stdio
env:
  OZON_CLIENT_ID: ...
  OZON_API_KEY: ...

Browse the official MCP client list at https://modelcontextprotocol.io/clients.

Usage examples

All examples below show realistic responses copied from tests/fixtures/responses/ — anonymized identifiers (99000001, TEST-SKU-001) but real shape.

Example 1 — Get all your products

You: Use ozon_fetch_all with operation_id="ProductAPI_GetProductList" to get all my products.

The agent calls:

config.json

{
  "operation_id": "ProductAPI_GetProductList",
  "params": {"filter": {"visibility": "ALL"}},
  "max_items": 10000
}

Server walks the last_id cursor automatically and returns:

config.json

{
  "ok": true,
  "items": [
    {"product_id": 99000001, "offer_id": "TEST-SKU-001", "archived": false},
    {"product_id": 99000002, "offer_id": "TEST-SKU-002", "archived": false},
    {"product_id": 99000003, "offer_id": "TEST-SKU-003", "archived": true}
  ],
  "total_fetched": 3,
  "truncated": false,
  "pages_fetched": 1
}

Example 2 — Find products at risk of going out of stock

You: Run the oos_risk_analysis workflow for my cabinet.

Agent first inspects the workflow:

json

ozon_get_workflow({"name": "oos_risk_analysis"})

→ tells the agent to call AnalyticsAPI_StocksTurnover (rate-limited to 1 req/min — the server's per-endpoint queue handles that for you) and how to interpret turnover_grade. The call returns:

config.json

{
  "items": [
    {"sku": 99000001, "current_stock": 12, "ads": 1.5,
     "idc": 8.0, "turnover_grade": "DEFICIT",
     "turnover_grade_cluster": "DEFICIT_GROWING"},
    {"sku": 99000002, "current_stock": 25, "ads": 0.8,
     "idc": 31.25, "turnover_grade": "OPTIMAL",
     "turnover_grade_cluster": "OPTIMAL_FALLING"},
    {"sku": 99000003, "current_stock": 0, "ads": 0.0,
     "idc": 0.0, "turnover_grade": "NO_SALES",
     "turnover_grade_cluster": "NO_SALES"}
  ]
}

The workflow's interpret field tells the agent to flag SKUs where idc < 14 or turnover_grade ∈ {DEFICIT, NO_SALES} and surface them sorted by idc asc.

Example 3 — Full cabinet health check

You: Check the health of my Ozon cabinet using the cabinet_health_check workflow.

The workflow tells the agent to read three endpoints in parallel — RatingAPI_RatingSummaryV1, SellerAPI_SellerInfo, AverageDeliveryTimeSummary. The first call returns:

config.json

{
  "groups": [
    {
      "group_name": "Выполнение заказов",
      "items": [
        {"rating": "rating_on_time", "name": "Процент заказов вовремя",
         "current_value": 97.5, "status": "OK", "value_type": "PERCENT"},
        {"rating": "rating_review_avg_score", "name": "Средняя оценка",
         "current_value": 4.7, "status": "OK", "value_type": "RATING"}
      ]
    },
    {
      "group_name": "Качество сервиса",
      "items": [
        {"rating": "rating_price_index", "name": "Индекс цен",
         "current_value": 1.01, "status": "OK", "value_type": "INDEX"}
      ]
    }
  ],
  "premium_scores": [
    {"rating": "rating_on_time", "value": 97.5,
     "penalty_score_per_day": 0, "scope": "premium_plus"}
  ]
}

Example 4 — Analyze product pricing

You: Which of my products have a red price index?

Agent runs the pricing_analysis workflow and inspects the price_indexes.color_index field on every item:

config.json

{
  "product_id": 99000001, "offer_id": "TEST-SKU-001",
  "price": {"price": "399.0000", "marketing_seller_price": "399.0000",
             "min_price": "299.0000"},
  "price_indexes": {
    "color_index": "WITHOUT_INDEX",
    "ozon_index_data": {"minimal_price": "395.0000",
                          "price_index_value": 1.01}
  },
  "commissions": {"sales_percent_fbo": 0.13, "sales_percent_fbs": 0.13}
}

The workflow's common_mistakes list reminds the agent to compare against marketing_seller_price (the actual buyer-facing price), not just the base price.

Example 5 — Content audit

You: Find products with low content rating and tell me what to improve.

Agent runs content_audit, gets per-SKU ratings + the list of attributes that would lift the score:

config.json

{
  "products": [
    {
      "sku": 99000001, "rating": 85,
      "groups": [
        {"key": "media", "rating": 100},
        {"key": "characteristics", "rating": 75,
         "improve_attributes": [
           {"id": 4191, "name": "Цвет"},
           {"id": 8292, "name": "Материал"}
         ],
         "improve_at_least": 4}
      ]
    }
  ]
}

The workflow tells the agent that a +10 lift to rating measurably improves search ranking — so filling in those two attributes is worth ~4 points.

Available tools (15)

Tool	What it does
`ozon_call_method`	Execute any Ozon API method with safety + subscription guards
`ozon_fetch_all`	Auto-paginate — get every page, not just the first
`ozon_describe_method`	Full docs for a method: schema, examples, rate limit, quirks
`ozon_search_methods`	BM25 search across 466 methods (Russian or English, with stemming)
`ozon_list_sections`	Browse the API by section
`ozon_get_section`	All methods inside one section
`ozon_list_workflows`	List ready-made analytical workflows (filterable by category)
`ozon_get_workflow`	Full step-by-step plan for one workflow
`ozon_get_related_methods`	Methods that work well together (auto-extracted graph)
`ozon_get_examples`	Curated request/response examples for a method
`ozon_get_rate_limits`	Per-method, per-section, or all
`ozon_get_subscription_status`	Read your current cabinet's subscription tier
`ozon_list_methods_for_subscription`	What you unlock on a given tier
`ozon_get_swagger_meta`	Check that bundled API specs are still fresh
`ozon_get_error_catalog`	Look up any Ozon error code

Ready-made workflows (13)

Read the full README →View source on GitHub →

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Frequently Asked Questions about Ozon MCP

You need Ozon Seller API credentials: Client-Id and Api-Key for Seller and Performance APIs.

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Technical Specs & Signals

CategoryE-Commerce

PricingBring your own API key (usage-based cost)

1/4 checks healthy over the last 32d

51Quality signal: Good · 51/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools25/30

Adoption & activity3/15

Community engagement0/10

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