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8 clients · secrets stay placeholders

JSON (mcpServers)Claude CodeCodexOpenCodeCursorVS CodeGemini CLIGoose

{
  "mcpServers": {
    "math-mcp-learning-server": {
      "type": "http",
      "url": "https://math-mcp.fastmcp.app/mcp"
    }
  }
}

claude mcp add --transport http math-mcp-learning-server https://math-mcp.fastmcp.app/mcp

[mcp_servers.math-mcp-learning-server]
url = "https://math-mcp.fastmcp.app/mcp"

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "math-mcp-learning-server": {
      "type": "remote",
      "url": "https://math-mcp.fastmcp.app/mcp",
      "enabled": true
    }
  }
}

{
  "mcpServers": {
    "math-mcp-learning-server": {
      "type": "http",
      "url": "https://math-mcp.fastmcp.app/mcp"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=math-mcp-learning-server&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vbWF0aC1tY3AuZmFzdG1jcC5hcHAvbWNwIn0%3D"
}

{
  "servers": {
    "math-mcp-learning-server": {
      "type": "http",
      "url": "https://math-mcp.fastmcp.app/mcp"
    }
  }
}

{
  "mcpServers": {
    "math-mcp-learning-server": {
      "httpUrl": "https://math-mcp.fastmcp.app/mcp"
    }
  }
}

extensions:
  "math-mcp-learning-server":
    enabled: true
    name: "math-mcp-learning-server"
    type: streamable_http
    uri: "https://math-mcp.fastmcp.app/mcp"
    timeout: 300

Quality 78 / 100good

protocol88 · weight 25

pass
protocol.modernsupports 2026-07-28 (server/discover)
pass
protocol.statelessanswers without a session
pass
protocol.transportstreamable HTTP
warn
protocol.list_ttltools/list declares ttlMs 0, so clients re-fetch it on every use

authorizationn/a · weight 15

n/a
auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
n/a
auth.secret_in_urlno templated URL

tool hygiene86 · weight 30

pass
tools.descriptionsevery tool has a description
pass
tools.description_lengthdescriptions are concise
pass
tools.schemasevery tool has an object input schema
pass
tools.annotations17 of 17 tools declare readOnlyHint or destructiveHint
fail
tools.directory_hintsno tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: calc_expression (destructiveHint, openWorldHint); calc_statistics (destructiveHint, openWorldHint); calc_interest (destructiveHint, openWorldHint); …
pass
tools.token_costabout 2,959 tokens to load every tool
pass
tools.api_dumptools are not a one-to-one API dump

stability25 · weight 15

warn
stability.changes17 tool changes in 30 days
fail
stability.rug_pull15 tools kept their name but changed most of their description in 30 days; review before trusting them

dependencies100 · weight 15

pass
deps.known_vulnsno known advisory in 69 resolved packages
pass
deps.mcp_sdk_versionmcp 1.30.0, no known advisory
pass
deps.resolvable[email protected] resolved: 69 packages

17 tools, about 2,959 tokens to load them all · tool set d3cfe79fc874 · tools last changed 2026-10-12 · checked 2026-10-20 13:17 UTC

Tool changes

2026-10-12plot_financial_linechangeddescriptionmeaning changed
before
Generate and plot synthetic financial price data (requires matplotlib). Creates realistic price movement patterns for educational purposes. Does not use real market data. Note: Use for time-series price data with optional moving average overlay. For general XY data, use plot_line_chart instead. Examples: plot_financial_line(days=60, trend='bullish') plot_financial_line(days=90, trend='volatile', start_price=150.0, color='orange')
after · 46% of words in common
Generate and plot synthetic financial price data (requires matplotlib). Creates realistic price movement patterns for educational purposes. Does not use real market data.
2026-10-12plot_box_plotchangeddescriptionmeaning changed
before
Create a box plot for comparing distributions (requires matplotlib). Examples: plot_box_plot([[1, 2, 3, 4, 5], [2, 4, 6, 8, 10]], group_labels=["A", "B"]) plot_box_plot([[10, 20, 30], [15, 25, 35], [5, 15, 25]], title="Comparison")
after · 32% of words in common
Create a box plot for comparing distributions (requires matplotlib).
2026-10-12plot_scatterchangeddescriptionmeaning changed
before
Create a scatter plot from data points (requires matplotlib). Examples: plot_scatter([1, 2, 3, 4], [1, 4, 9, 16], title="Correlation Study") plot_scatter([1, 2, 3], [2, 4, 5], color='purple', point_size=100)
after · 36% of words in common
Create a scatter plot from data points (requires matplotlib).
2026-10-12plot_line_chartchangeddescriptionmeaning changed
before
Create a line chart from data points (requires matplotlib). Note: Use for general XY data. For time-series price data with optional moving average, use plot_financial_line instead. Examples: plot_line_chart([1, 2, 3, 4], [1, 4, 9, 16], title="Squares") plot_line_chart([0, 1, 2], [0, 1, 4], color='red', x_label='Time', y_label='Distance')
after · 23% of words in common
Create a line chart from data points (requires matplotlib).
2026-10-12plot_histogramchangeddescriptionmeaning changed
before
Create statistical histograms (requires matplotlib). Examples: plot_histogram([1.0, 2.0, 2.5, 3.0, 3.5, 4.0, 5.0]) plot_histogram([10, 20, 30, 40, 50], bins=5, title="Test Scores")
after · 22% of words in common
Create statistical histograms (requires matplotlib).
2026-10-12plot_functionchangeddescriptionmeaning changed
before
Generate mathematical function plots (requires matplotlib). Examples: plot_function("x**2", (-5, 5)) plot_function("sin(x)", (-3.14, 3.14))
after · 43% of words in common
Generate mathematical function plots (requires matplotlib).
2026-10-12workspace_loadchangeddescriptionmeaning changed
before
Load previously saved calculation result from workspace. Examples: load_variable("portfolio_return") # Returns saved calculation load_variable("circle_area") # Access across sessions
after · 41% of words in common
Load previously saved calculation result from workspace.
2026-10-12workspace_savechangeddescriptionmeaning changed
before
Save calculation to persistent workspace (survives restarts). Examples: save_calculation("portfolio_return", "10000 * 1.07^5", 14025.52) save_calculation("circle_area", "pi * 5^2", 78.54)
after · 32% of words in common
Save calculation to persistent workspace (survives restarts).
2026-10-12matrix_eigenvalueschangeddescriptionmeaning changed
before
Calculate the eigenvalues of a square matrix. Note: Requires NumPy. Raises ValueError if NumPy is unavailable. Examples: matrix_eigenvalues([[4, 2], [1, 3]]) matrix_eigenvalues([[3, 0, 0], [0, 5, 0], [0, 0, 7]]) # Diagonal matrix
after · 29% of words in common
Calculate the eigenvalues of a square matrix.
2026-10-12matrix_inversechangeddescriptionmeaning changed
before
Calculate the inverse of a square matrix. Note: Requires NumPy. Raises ValueError if NumPy is unavailable. Examples: matrix_inverse([[1, 2], [3, 4]]) matrix_inverse([[2, 0], [0, 2]]) # Diagonal matrix
after · 32% of words in common
Calculate the inverse of a square matrix.

Showing the latest 10. Full history: list_changes · trend: quality JSON.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 91 / 100

provenance80

liveness100

freshness85

hygiene100

+repository +namespace-matches-repo +reachable +uptime-100% ~updated-49d-ago

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Dependencies

[email protected] PyPI68 dependencies, resolved · MCP SDK mcp 1.30.0 · advisories checked 2026-10-19

No known advisory affects this dependency graph.

Dependency graphs from deps.dev; advisories from OSV.dev, including the GitHub Advisory Database and the PyPI Advisory Database; all CC BY 4.0. The graph is what a clean install of this version resolves today; nothing was installed or run. How it is checked.

Endpoints

remote	auth	reachable	uptime 30d	p50	protocol	last ok
`https://math-mcp.fastmcp.app/mcp` streamable-http	none	yes	100%	428 ms	2026-07-28	2026-10-20

package	registry	version	runtime	secrets
`math-mcp-learning-server`	pypi	0.12.5	–

Tools (17)

`calc_expression`read-only	Safely evaluate mathematical expressions with support for basic operations and math functions. Supported operations: +, -, , /, *, () Supported functions: sin, cos, tan, log, sqrt, abs, pow
`calc_interest`read-only	Calculate compound interest for investments. Formula: A = P(1 + r/n)^(nt) Where: - P = principal amount - r = annual interest rate (as decimal) - n = number of times interest compounds per year - t = time in years
`calc_statistics`read-only	Perform statistical calculations on a list of numbers. Available operations: mean, median, mode, std_dev, variance
`calc_units`read-only	Convert between different units of measurement. Supported unit types: - length: mm, cm, m, km, in, ft, yd, mi - weight: g, kg, oz, lb - temperature: c, f, k (Celsius, Fahrenheit, Kelvin)
`matrix_determinant`read-only	Calculate the determinant of a square matrix.
`matrix_eigenvalues`read-only	Calculate the eigenvalues of a square matrix.
`matrix_inverse`read-only	Calculate the inverse of a square matrix.
`matrix_multiply`read-only	Multiply two matrices (A × B).
`matrix_transpose`read-only	Transpose a matrix (swap rows and columns).
`plot_box_plot`read-only	Create a box plot for comparing distributions (requires matplotlib).
`plot_financial_line`read-only	Generate and plot synthetic financial price data (requires matplotlib). Creates realistic price movement patterns for educational purposes. Does not use real market data.
`plot_function`read-only	Generate mathematical function plots (requires matplotlib).
`plot_histogram`read-only	Create statistical histograms (requires matplotlib).
`plot_line_chart`read-only	Create a line chart from data points (requires matplotlib).
`plot_scatter`read-only	Create a scatter plot from data points (requires matplotlib).
`workspace_load`read-only	Load previously saved calculation result from workspace.
`workspace_save`	Save calculation to persistent workspace (survives restarts).

Schemas: list_tools.

Similar MCP servers

More from io.github.clouatre-labs

Official server.json

{
  "name": "io.github.clouatre-labs/math-mcp-learning-server",
  "title": "Math MCP Learning",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://math-mcp.fastmcp.app/mcp",
      "type": "streamable-http"
    }
  ],
  "version": "0.12.5",
  "packages": [
    {
      "version": "0.12.5",
      "transport": {
        "type": "stdio"
      },
      "identifier": "math-mcp-learning-server",
      "registryType": "pypi"
    }
  ],
  "repository": {
    "url": "https://github.com/clouatre-labs/math-mcp-learning-server",
    "source": "github"
  },
  "description": "Educational MCP server with 17 math/stats tools, visualizations, and persistent workspace"
}