Math MCP Learning
REMOTE · MATH-MCP.FASTMCP.APP · 2 COMPONENTS
Educational MCP server with 17 math/stats tools, visualizations, and persistent workspace
Available components
Last scanned (6 hours ago)
Scores higher than 81% of remote servers
Reachable. Last reached 5 Nov 2026.
Category Education and Research
How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →
Endpoint Security57
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- Authorisation not fully verified: no authorisation is required to call this server, and 1 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe. See how to fix → View diagnostics → Unverified
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- HSTS check failed: the Strict-Transport-Security header is absent. See how to fix → View diagnostics → Fail
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability84
- 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 2155 tokens (~97/item across 22 items; 17 tools + 5 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
- No destabilizing schema changes in the last 30 days.Pass
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
- Structured output schemas are declared (65% of tools); any adoption earns full credit.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 17 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 19 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a current MCP spec version (2026-07-28).Pass
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 2 Nov 26 0
- Server version: 4.1.4 → 4.1.5 functional
- 31 Oct 26 0
- Server version: 4.1.3 → 4.1.4 functional
- 22 Oct 26 0
- Server version: 4.1.1 → 4.1.3 functional
- 19 Oct 26 0
- Server version: 4.1.0 → 4.1.1 functional
- 13 Oct 26 0
- Tool “plot_box_plot” rewrote its description, which is the text the model reads security
- Tool “plot_scatter” rewrote its description, which is the text the model reads security
- Tool “workspace_load” rewrote its description, which is the text the model reads security
- Tool “workspace_save” rewrote its description, which is the text the model reads security
- Tool “calc_expression” rewrote its description, which is the text the model reads security
- Tool “calc_interest” rewrote its description, which is the text the model reads security
- Tool “calc_statistics” rewrote its description, which is the text the model reads security
- Tool “calc_units” rewrote its description, which is the text the model reads security
- Tool “matrix_determinant” rewrote its description, which is the text the model reads security
- Tool “matrix_eigenvalues” rewrote its description, which is the text the model reads security
- Tool “matrix_inverse” rewrote its description, which is the text the model reads security
- Tool “matrix_multiply” rewrote its description, which is the text the model reads security
- Tool “matrix_transpose” rewrote its description, which is the text the model reads security
- Tool “plot_financial_line” rewrote its description, which is the text the model reads security
- Tool “plot_function” rewrote its description, which is the text the model reads security
- Tool “plot_histogram” rewrote its description, which is the text the model reads security
- Tool “plot_line_chart” rewrote its description, which is the text the model reads security
- Schema quality: fail → pass ▲ functional
- Schema quality: excellent → good functional
- Server version: 4.0.11 → 4.1.0 functional
- 28 Sept 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 27 Sept 26 0
- Server version: 4.0.9 → 4.0.10 functional
- 25 Sept 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 5 Nov 2026 · Probed https://math-mcp.fastmcp.app/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=*.fastmcp.app | CN=Amazon RSA 2048 M04,O=Amazon,C=US | 17 Jun 2026 | 31 Dec 2026 | RSA 2048 | SHA256-RSA | a1583bafd89c7b58780ef1a0a0d2ad7 |
| SANs: *.fastmcp.app | ||||||
| CN=Amazon RSA 2048 M04,O=Amazon,C=US (CA) | CN=Amazon Root CA 1,O=Amazon,C=US | 23 Aug 2022 | 23 Aug 2030 | RSA 2048 | SHA256-RSA | 773124f2a952e3ed18a58bdb85d1bc0ce5f27 |
| CN=Amazon Root CA 1,O=Amazon,C=US (CA) | CN=Starfield Services Root Certificate Authority - G2,O=Starfield Technologies\, Inc.,L=Scottsdale,ST=Arizona,C=US | 25 May 2015 | 31 Dec 2037 | RSA 2048 | SHA256-RSA | 67f944a2a27cdf3fac2ae2b01f908eeb9c4c6 |
Background: What to check on a remote MCP endpoint →
DNSSEC insecure
Validation of math-mcp.fastmcp.app. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| app. | present | 23684 | 8 | Verified |
| fastmcp.app. | absent | Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation |
Authentication No authorisation required
The endpoint answered without asking for a token. Anyone who knows the URL can reach it.
| Result | No authorisation required |
|---|---|
| HTTP status | 200 |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://math-mcp.fastmcp.app/mcp | Verified | 200 | |
| http (plaintext) | http://math-mcp.fastmcp.app/mcp | HTTPS enforced | 301 | https://math-mcp.fastmcp.app/mcp |
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
calc_expression Mathematical Calculator ~100
Safely evaluate mathematical expressions with support for basic operations and math functions. Supported operations: +, -, *, /, **, () Supported functions: sin, cos, tan, log, sqrt, abs, pow
| Name | Type | Req | Description |
|---|---|---|---|
| expression | string | yes | Mathematical expression to evaluate. Supports +, -, *, /, **, and math functions (sin, cos, sqrt, log, etc.). Example: '2 * sin(pi/4) + sqrt(16)' |
| Name | Type | Req | Description |
|---|---|---|---|
| difficulty | string | yes | – |
| expression | string | yes | – |
| result | number | yes | – |
| topic | string | yes | – |
No examples provided.
calc_interest Compound Interest Calculator ~188
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
| Name | Type | Req | Description |
|---|---|---|---|
| compounds_per_year | integer | – | Compounding frequency per year (must be > 0): 12=monthly, 365=daily |
| principal | number | yes | Initial investment amount in dollars (must be > 0), e.g. 1000.0 |
| rate | number | yes | Annual interest rate as decimal 0.0-1.0 (e.g. 0.05 = 5%). If entering a percentage, divide by 100 first. |
| time | number | yes | Investment time in years (must be > 0), e.g. 10.0 |
| Name | Type | Req | Description |
|---|---|---|---|
| compounds_per_year | integer | yes | – |
| difficulty | string | yes | – |
| final_amount | number | yes | – |
| formula | string | yes | – |
| principal | number | yes | – |
| rate | number | yes | – |
| time | number | yes | – |
| topic | string | yes | – |
| total_interest | number | yes | – |
No examples provided.
calc_statistics Statistical Analysis ~98
Perform statistical calculations on a list of numbers. Available operations: mean, median, mode, std_dev, variance
| Name | Type | Req | Description |
|---|---|---|---|
| numbers | array | yes | List of numbers to compute descriptive statistics on. Example: [1.0, 2.5, 3.0, 4.5, 5.0] |
| operation | string | yes | Statistical operation to perform. Allowed values: mean, median, mode, std_dev, variance |
| Name | Type | Req | Description |
|---|---|---|---|
| difficulty | string | yes | – |
| operation | string | yes | – |
| result | number | yes | – |
| sample_size | integer | yes | – |
| topic | string | yes | – |
No examples provided.
calc_units Unit Converter ~209
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)
| Name | Type | Req | Description |
|---|---|---|---|
| from_unit | string | yes | Source unit abbreviation. Valid units depend on unit_type: length (mm, cm, m, km, in, ft, yd, mi), weight (g, kg, oz, lb), temperature (c, f, k) |
| to_unit | string | yes | Target unit abbreviation. Valid units depend on unit_type: length (mm, cm, m, km, in, ft, yd, mi), weight (g, kg, oz, lb), temperature (c, f, k) |
| unit_type | string | yes | Unit category: length, weight, or temperature |
| value | number | yes | Numeric value to convert, e.g., 100.0 |
| Name | Type | Req | Description |
|---|---|---|---|
| converted_value | number | yes | – |
| difficulty | string | yes | – |
| from_unit | string | yes | – |
| to_unit | string | yes | – |
| topic | string | yes | – |
| unit_type | string | yes | – |
| value | number | yes | – |
No examples provided.
matrix_determinant Matrix Determinant ~56
Calculate the determinant of a square matrix.
| Name | Type | Req | Description |
|---|---|---|---|
| matrix | array | yes | 2D list of numbers representing a square matrix. Each inner list is a row. Example: [[1, 2], [3, 4]] |
| Name | Type | Req | Description |
|---|---|---|---|
| determinant | number | yes | – |
| difficulty | string | yes | – |
| size | integer | yes | – |
| topic | string | yes | – |
No examples provided.
matrix_eigenvalues Matrix Eigenvalues ~57
Calculate the eigenvalues of a square matrix.
| Name | Type | Req | Description |
|---|---|---|---|
| matrix | array | yes | 2D list of numbers representing a square matrix. Each inner list is a row. Example: [[4, 2], [1, 3]] |
| Name | Type | Req | Description |
|---|---|---|---|
| complex_eigenvalues_warning | – | – | – |
| complex_values | – | – | – |
| difficulty | string | yes | – |
| eigenvalues | – | – | – |
| eigenvectors | – | – | – |
| error | – | – | – |
| size | integer | yes | – |
| success | boolean | yes | – |
| topic | string | yes | – |
No examples provided.
matrix_inverse Matrix Inverse ~54
Calculate the inverse of a square matrix.
| Name | Type | Req | Description |
|---|---|---|---|
| matrix | array | yes | 2D list of numbers representing a square matrix. Each inner list is a row. Example: [[1, 2], [3, 4]] |
| Name | Type | Req | Description |
|---|---|---|---|
| difficulty | string | yes | – |
| error | – | – | – |
| result_matrix | – | – | – |
| size | integer | yes | – |
| success | boolean | yes | – |
| topic | string | yes | – |
No examples provided.
matrix_multiply Matrix Multiplication ~95
Multiply two matrices (A × B).
| Name | Type | Req | Description |
|---|---|---|---|
| matrix_a | array | yes | 2D list of numbers representing the first matrix. Each inner list is a row. Example: [[1, 2], [3, 4]] |
| matrix_b | array | yes | 2D list of numbers representing the second matrix. Each inner list is a row. Example: [[5, 6], [7, 8]] |
| Name | Type | Req | Description |
|---|---|---|---|
| cols_a | integer | yes | – |
| cols_b | integer | yes | – |
| difficulty | string | yes | – |
| result_matrix | array | yes | – |
| rows_a | integer | yes | – |
| rows_b | integer | yes | – |
| topic | string | yes | – |
No examples provided.
matrix_transpose Matrix Transpose ~62
Transpose a matrix (swap rows and columns).
| Name | Type | Req | Description |
|---|---|---|---|
| matrix | array | yes | 2D list of numbers representing the matrix. Each inner list is a row. Example: [[1, 2, 3], [4, 5, 6]] |
| Name | Type | Req | Description |
|---|---|---|---|
| difficulty | string | yes | – |
| original_cols | integer | yes | – |
| original_rows | integer | yes | – |
| result_matrix | array | yes | – |
| topic | string | yes | – |
No examples provided.
plot_box_plot Box Plot ~134
Create a box plot for comparing distributions (requires matplotlib).
| Name | Type | Req | Description |
|---|---|---|---|
| color | – | – | Box color (name or hex code, e.g., 'blue', '#2E86AB') |
| data_groups | array | yes | List of data groups to compare, e.g., [[1, 2, 3], [4, 5, 6]] |
| group_labels | – | – | Labels for each group, e.g., ['Group A', 'Group B'] |
| title | string | – | Chart title string, e.g., 'Distribution Comparison' |
| y_label | string | – | Y-axis label, e.g., 'Values' |
No output schema declared.
No examples provided.
plot_financial_line Financial Line Chart ~108
Generate and plot synthetic financial price data (requires matplotlib). Creates realistic price movement patterns for educational purposes. Does not use real market data.
| Name | Type | Req | Description |
|---|---|---|---|
| color | – | – | Line color (name or hex code, e.g., 'blue', '#2E86AB') |
| days | integer | – | Number of days to generate, e.g., 30 |
| start_price | number | – | Starting price value, e.g., 100.0 |
| trend | string | – | Market trend direction |
No output schema declared.
No examples provided.
plot_function Function Plotter ~109
Generate mathematical function plots (requires matplotlib).
| Name | Type | Req | Description |
|---|---|---|---|
| expression | string | yes | Mathematical expression to plot, e.g., "x**2" or "sin(x)". Must be <= MAX_EXPRESSION_LENGTH characters. Example: "x**2" |
| num_points | integer | – | Number of sample points to plot along x_range, e.g., 100 |
| x_range | array | yes | X-axis range as (min, max), e.g., (-5.0, 5.0) |
No output schema declared.
No examples provided.
plot_histogram Statistical Histogram ~87
Create statistical histograms (requires matplotlib).
| Name | Type | Req | Description |
|---|---|---|---|
| bins | integer | – | Number of histogram bins, e.g., 20 |
| data | array | yes | List of numeric values to bin, e.g., [1.0, 2.0, 2.5, 3.0] |
| title | string | – | Chart title string, e.g., 'Data Distribution' |
No output schema declared.
No examples provided.
plot_line_chart Line Chart ~161
Create a line chart from data points (requires matplotlib).
| Name | Type | Req | Description |
|---|---|---|---|
| color | – | – | Line color (name or hex code, e.g., 'blue', '#2E86AB') |
| show_grid | boolean | – | Whether to display grid lines |
| title | string | – | Chart title string, e.g., 'Squares' |
| x_data | array | yes | X-axis data points, e.g., [1, 2, 3, 4] |
| x_label | string | – | X-axis label, e.g., 'Time' |
| y_data | array | yes | Y-axis data points, e.g., [1, 4, 9, 16] |
| y_label | string | – | Y-axis label, e.g., 'Distance' |
No output schema declared.
No examples provided.
plot_scatter Scatter Plot ~172
Create a scatter plot from data points (requires matplotlib).
| Name | Type | Req | Description |
|---|---|---|---|
| color | – | – | Point color (name or hex code, e.g., 'blue', '#2E86AB') |
| point_size | integer | – | Scatter point size in points^2, e.g., 50 |
| title | string | – | Chart title string, e.g., 'Correlation Study' |
| x_data | array | yes | X-axis data points, e.g., [1, 2, 3, 4] |
| x_label | string | – | X-axis label, e.g., 'Variable X' |
| y_data | array | yes | Y-axis data points, e.g., [1, 4, 9, 16] |
| y_label | string | – | Y-axis label, e.g., 'Variable Y' |
No output schema declared.
No examples provided.
workspace_load Load Variable ~38
Load previously saved calculation result from workspace.
| Name | Type | Req | Description |
|---|---|---|---|
| name | string | yes | Name of the variable to load from workspace, e.g., 'circle_area' |
| Name | Type | Req | Description |
|---|---|---|---|
| action | string | yes | – |
| available_variables | – | – | – |
| difficulty | – | – | – |
| error | – | – | – |
| expression | – | – | – |
| name | string | yes | – |
| result | – | – | – |
| session_id | – | – | – |
| success | boolean | yes | – |
| timestamp | – | – | – |
| topic | – | – | – |
No examples provided.
workspace_save Save Calculation to Workspace ~88
Save calculation to persistent workspace (survives restarts).
| Name | Type | Req | Description |
|---|---|---|---|
| expression | string | yes | The mathematical expression that was evaluated. Example: 'pi * r**2' |
| name | string | yes | Variable name for the saved calculation. Used to retrieve it later. Example: 'circle_area' |
| result | number | yes | Numeric result of evaluating the expression, e.g., 78.54 |
| Name | Type | Req | Description |
|---|---|---|---|
| action | string | – | – |
| difficulty | string | yes | – |
| expression | string | yes | – |
| is_new | boolean | yes | – |
| name | string | yes | – |
| result | number | yes | – |
| session_id | – | – | – |
| success | boolean | yes | – |
| topic | string | yes | – |
| total_variables | integer | yes | – |
No examples provided.
How do I install the Math MCP Learning server?
Math MCP Learning is a hosted endpoint at https://math-mcp.fastmcp.app/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
remote · math-mcp.fastmcp.app
claude mcp add --transport http clouatre-labs-math-mcp-learning-server 'https://math-mcp.fastmcp.app/mcp'
What is the Math MCP Learning server?
Math MCP Learning is listed in the public MCP registry as io.github.clouatre-labs/math-mcp-learning-server. Educational MCP server with 17 math/stats tools, visualizations, and persistent workspace. This page covers its hosted endpoint (https://math-mcp.fastmcp.app/mcp).
Is the Math MCP Learning server safe to use?
Math MCP Learning scores 80 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the Math MCP Learning server expose?
Math MCP Learning exposes 17 tools: calc_expression, calc_statistics, calc_interest, calc_units, matrix_multiply, and 12 more. Their descriptions and schemas cost roughly 1,816 tokens of context every time the server is loaded.
Does the Math MCP Learning server require authentication?
No. We connected to Math MCP Learning without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the Math MCP Learning server still maintained?
Math MCP Learning is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.