
Flat Rate Math
io.github.scrapertweeter3-progPublished by GitHub account scrapertweeter3-progv0.1.1Updated Oct 24, 2026
Benchmark math for flat-rate software subscriptions against a fully loaded senior hire.
The publisher's own server: FlatCash — Native Currency for AI Agents
Overview
A local stdio MCP server that computes and compares cost per delivered request for fixed bids, salaried hires and flat-rate software subscriptions.
- What you can do
- Price a single lane: given a mode (fixed bid, monthly salary, or flat subscription), a dollar rate, the months the work stays alive and the expected number of requests, return total cost and cost per request.
- Compare up to three lanes and rank them by cost per request.
- Produce the side-by-side totals used to argue for one payment model over another.
- When to use it
- Useful when an assistant has to help someone weigh a one-time fixed bid, a fully loaded senior hire and a monthly flat-rate subscription on a single per-request cost figure, for example when advising clients on how to buy software work.
- Requirements
- Runs as a local process over stdio; the README says it is one Python file using only the standard library, started with python3 pointing at server.py, so a Python 3 runtime is needed. No authentication, environment variables or headers are declared.
Installation
In SourceWeft
- Open Flat Rate Math in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
flatratemath MCP server
A Model Context Protocol server that prices three ways of paying for software work on one number: total cost per delivered request. It is the stdio version of the flatratemath CLI, one Python file, standard library only, nothing to install.
Tools
cost_per_request prices a single lane. Give it a mode (bid for a
one-time fixed price, salary for a fully loaded monthly hire, flat for a
monthly subscription), the dollar rate, the months the work stays alive,
and the number of discrete requests you expect to submit.
compare_lanes takes up to three lanes and ranks them by cost per
request. An $84,000 fixed bid, an $18,290/month hire, and a $5,995/month
flat subscription over 12 months and 30 requests come back as:
The flat lane in that example is a real one: the unlimited development subscription at Poket Dev. I kept redrawing the same spreadsheet for clients choosing between those lanes, so the math exists as a CLI and now as a server an agent can call.
Install
Clone the repo and point your MCP client at the file:
Client command: python3 /path/to/mcp-flatratemath/server.py
The wire side is JSON-RPC 2.0 over stdio, one JSON object per line (newline-delimited JSON, the MCP stdio transport). Handshakes answered: initialize, ping, tools/list, tools/call.
License
MIT
Source: README.md at commit fe8be52
Tools
0Version history
1- v0.1.1LatestOct 12, 2026
Score
50% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts
Other Flat integrations
FlatCash — Native Currency for AI Agents
cash.flatOfficial publisher
A remote MCP endpoint for a CPI-pegged stablecoin aimed at AI agents, offering read-only tools plus a task board and self-registration.

FlatBuffers vtable shape, bytes discarded
Published by GitHub account sadri-dridi
A remote MCP endpoint offering small utility tools that check formats, shapes and statuses while discarding the input values.

Mova Flat Runner
Published by GitHub account mova-compact
Local MCP server that runs governed AI workflows with human approval gates and audit trails for Claude and other MCP clients.

MailFlat
Published by GitHub account MailFlat
MailFlat gives an AI assistant real email inboxes: open an address, read incoming one-time codes, and send mail.

FlatWay Property Estimator
Published by GitHub account Lfaykus
A remote MCP server that gives an assistant French property prices, market trends and live listings for any French address, based on DVF data.