MCP100 IndexFinance & Payments
WatchlistFirst-party MCP

Finance Toolkit

by Jeroen Bouma

Updated August 13, 2026 · Reviewed August 14, 2026

Finance & PaymentsFinancial Services & InvestingSoftware & Technology

MCP100 verdict

Not currently recommended. Query transparent financial ratios, models, market data, and economic indicators through the Finance Toolkit MCP server.

MCP100 Assessment

Editorial verdict

Query transparent financial ratios, models, market data, and economic indicators through the Finance Toolkit MCP server.

Reviewed 2026-08-14 · Next review 2026-09-14

Task Fit

Mapped

Specialized workflows

Trust

Status warning

tool_contract; install_supply_chain; advisory_freshness

Maintenance

Activity observed

A dated repository or package update is available; editorial maintenance review is still pending.

Popularity

Signals available

Visible usage signals are shown for discovery only, not as proof of safety.

Best for

  • Comparing companies, financial statements, ratios, performance, risk, models, market data, and economic indicators through documented financial metrics
  • Analysts who can independently validate upstream data and calculation output before using it in a financial decision

Not ideal for

  • Brokerage, trade execution, portfolio mutation, or other transaction workflows outside the documented read-and-calculate tool surface
  • Decisions that require guaranteed upstream data accuracy, complete hosted-service retention documentation, or offline-only processing

Avoid if

  • You cannot provide a dedicated Financial Modeling Prep API key to either the hosted OAuth flow or a controlled local configuration
  • An AI-generated financial interpretation could be acted on without independent review of the source data, plan limits, and calculation assumptions

Trade-offs

  • The hosted endpoint is simple to connect through OAuth, but it receives and remembers the Financial Modeling Prep API key while its retention and logging controls are not documented on the MCP page.
  • The local server keeps the MCP process under operator control, but stores configuration locally and caches returned DataFrames in SQLite while still retrieving data from external providers.
  • More than 200 transparent calculations improve analytical coverage, but availability and accuracy still depend on Financial Modeling Prep plan limits and the documented Yahoo Finance fallback.

Evidence scope

Evidence

Current source snapshot

Popularity

5.2k shared-repository stars · not MCP-specific

41.3k package downloads · PyPI Stats · Third-party

Stars observed 2026-08-14T18:46:26.000Z · Downloads observed 2026-08-14T18:46:26.000Z

Shared or parent metric is non-comparable.

Exact implementation package metric from a disclosed third-party provider.

Maintenance

Publisher activity observed 2026-08-13T07:58:41Z

Current source snapshot

Trust review

Source relationship: First-party MCP

Reviewed 2026-08-14 · Next review 2026-09-14