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jaknow01

mcp-math

by jaknow01
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

mcp-math

Exact calculations over numbers, as an MCP server — so a model computes averages, trends and correlations in code instead of in its head. No data source of its own: the client passes the numbers.

Tool

What it does

calculate_statistics

count, sum, mean, median, min, max, range, standard deviation, variance

percentage_change

absolute and % change between an old and a new value

linear_trend

least-squares slope/direction over an ordered sequence

correlation

Pearson correlation of two equal-length series

whoami

which client your key belongs to

Part of the Jarvis tool servers; built on jarvis-mcp-kit (API keys, rate limits, logs).

Run

cp config/clients.example.yaml config/clients.yaml
uv run jarvis-mcp-keys new me --servers math     # paste the printed block into config/clients.yaml
uv run mcp-math serve                            # http://localhost:8010/mcp/math

Docker: docker run -p 8010:8010 -v $PWD/config:/config ghcr.io/jaknow01/mcp-math:latest. Kubernetes: deploy/kubernetes.yaml.

Related MCP server: precisioncalc-mcp

Connect

  • Claude Code: claude mcp add --transport http math https://<host>/mcp/math --header "Authorization: Bearer jvk_…"

  • Claude app (custom connector): URL https://<host>/mcp/math/jvk_… (key in the path, no OAuth)

  • Jarvis: an entry in its config/subagents.yaml pointing at the in-cluster URL.

Configuration: see .env.example and the kit README.

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityMaintained
ResponsivenessNo issues

Resources

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