Coinmarket MCP Server
Provides tools to retrieve the latest cryptocurrency listings and quotes from the CoinMarketCap API.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Coinmarket MCP Servershow me the current price of Bitcoin"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Coinmarket MCP server
Coinmarket MCP Server
Components
Resources
The server implements a few of the Coinmarket API endpoints
Custom coinmarket:// URI scheme for accessing individual notes
Each note resource has a name, description and text/plain mimetype
Tools
The server implements two tools:
get-currency-listings: Get the latest currency listingsget-quotes: Get quotes for tokensTakes "slug" (example: bitcoin) or "symbol" (example: BTC) as optional string argument
Related MCP server: CoinMarketCap MCP Server
Configuration
Requires coinmarket API key.
Quickstart
Prerequisites
Python 3.12 or higher
uv package manager
Install
Install uv if you haven't already:
# macOS and Linux
curl -LsSf https://astral.sh/uv/install.sh | sh
# Windows
powershell -c "irm https://astral.sh/uv/install.ps1 | iex"Claude Desktop
On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
Docker
You can also run the server using Docker:
# Build the image
docker build -t coinmarket-service .
# Run the container
docker run -e COINMARKET_API_KEY=your_api_key_here coinmarket-serviceFor Claude Desktop configuration with Docker:
"mcpServers": {
"coinmarket_service": {
"command": "docker",
"args": [
"run",
"--rm",
"-e",
"COINMARKET_API_KEY=<insert api key>",
"coinmarket-service"
]
}
}Troubleshooting
"spawn uv ENOENT" Error
If you see this error, it means uv is not installed or not in your PATH:
Install uv following the instructions above
Restart your terminal/Claude Desktop after installation
Verify installation: Run
uv --versionin terminalUpdate PATH: Make sure uv is in your system PATH
Configuration Issues
Replace
/path/to/coinmarket_servicewith the actual path to your cloned repositoryEnsure your
COINMARKET_API_KEYis validThe path should point to the root directory containing
pyproject.toml
Available Tools
2 toolsget_currency_listingsB
Get latest cryptocurrency listings
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. 'Get' implies a read-only operation and 'latest' suggests current data, but there are no details about response format, ordering, or limitations. It is adequate but minimal.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single concise sentence, front-loaded with the core action. It contains no fluff or unnecessary words, making it efficient for an agent to parse.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has no parameters and no output schema, the description is minimally adequate for understanding the operation. However, it lacks an explicit statement of what the returned listings contain, which could lead to ambiguity for an agent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, so the schema is fully complete and requires no additional description. The baseline of 4 applies since there are no parameters to elaborate on.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Get latest cryptocurrency listings' uses a specific verb (Get), a clear resource (cryptocurrency listings), and a scope (latest). This makes the core purpose understandable, although it does not explicitly distinguish it from the sibling tool get_quotes.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No usage guidance is provided. The description does not mention when to use this tool versus get_quotes or any alternatives, leaving the agent without explicit context for tool selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_quotesC
Get cryptocurrency quotes
| Name | Required | Description | Default |
|---|---|---|---|
| slug | No | ||
| symbol | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. 'Get' implies a read-only operation, but the description does not explain what 'quotes' entails (e.g., current price, historical data), whether any limitations exist, or what the response contains. This is minimal and relies on inference.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence, which is concise and front-loaded, but it is under-specified. It does not earn its place beyond restating the tool's name, as it conveys almost no additional value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the lack of annotations, output schema, and parameter descriptions, the description is far from complete. It does not clarify what the quotes are, how the parameters work, or what the expected return values are, leaving the agent with insufficient context to use the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema provides only parameter names and types (slug, symbol) with no descriptions, and schema description coverage is 0%. The description adds no information about what these parameters mean or how they affect the request, so the agent has no guidance on how to populate them.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb and resource: 'Get cryptocurrency quotes' clearly indicates the tool retrieves quote data. It distinguishes from the sibling 'get_currency_listings' by focusing on quotes rather than listings, though it does not explicitly name the sibling.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus the sibling 'get_currency_listings'. There is no mention of context, prerequisites, or exclusions, leaving the agent to infer usage from the name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
2 tool updates
v0.1.0- First observed
get_currency_listings - First observed
get_quotes
TDQS
Scored across 2 tools
The two tools both retrieve cryptocurrency market data, and the vague descriptions make it unclear whether get_quotes is for individual coins or a different listing format. Agents may struggle to choose between them for a given request.
Both tools follow a consistent get_<object> pattern with clear verb-noun structure. The naming is predictable and easy to understand.
With only 2 tools, the server feels minimal but not entirely insufficient for basic market data retrieval. The scope is limited, but the count is borderline, not extreme.
The server lacks obvious capabilities such as historical data, currency conversion, or detailed metadata lookups, making it incomplete for a comprehensive cryptocurrency market server. Only the most basic listing and quote operations are covered.
Maintenance
Related MCP Connectors
Official CoinMarketCap MCP server: real-time crypto prices, market cap, rankings and exchange data.
Query cryptocurrency on-chain data, OHLCV prices, market data, and Research & QuickTake insights.
CoinMarketCap MCP — crypto prices, market cap, rankings
Coinmarketcap - 30 tools for data, metrics, and on-chain analytics
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