PortfolioFit

fit.portfolio/portfoliofit

Check normalized portfolios against mandates and calculate allocation constraints.

Yes, your AI can use this right now.Answered a live MCP handshake in 630 ms with no sign-in needed and exposes 10 tools.

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URL: https://portfolio.fit/mcp

10 tools, verified live

Pulled straight from the server with tools/list on 2026-10-17.
list_analysis_portfoliosread-only

List owner-scoped portfolios, analytics datasets, and profile readiness.

list_portfolio_seriesread-only

Discover owner-scoped immutable series profiles and their exact dataset versions. This returns metadata and coverage only, never dataset rows.

list_analysesread-only

Read private calculation groups and independent operations. Filter by kind, portfolio, dates, ready/running/attention status or legacy open/finished status.

get_analysisread-only

Read retained normalized inputs, operations, results and owner-scoped dataset references. This is not an external agent transcript.

evaluate_portfolio_alignment

Compare a clean mandate with normalized holdings. Do not send PDF, CSV, spreadsheet, or factsheet files; extract them before calling.

calculate_portfolio_constraints

Calculate explicit portfolio constraints deterministically from normalized holdings. Use this for arithmetic checks, not for interpreting natural-language mandates.

upload_portfolio_series_rows

Upload normalized series_key/date/value/distribution rows and commit a dataset version. For up to 5,000 rows, omit chunk_index and total_chunks to complete in one call. For larger inputs, declare total_chunks on every call, send chunks in order, and reuse upload_id and idempotency_key. The final chunk automatically verifies and commits all data and returns immutable series profiles. Parse files lo

cancel_portfolio_series_uploadcan modify

Cancel a pending upload and permanently remove its staging chunks.

review_portfolio_series_profile

Create an immutable profile revision using revise, or explicitly confirm a warning-free proposal with confirmation=true.

calculate_portfolio_statistics

Calculate historical return, volatility, drawdown, risk-adjusted and benchmark-relative statistics from a confirmed portfolio series profile. The metrics parameter describes all available calculations and their required inputs. Use daily, weekly or monthly complete periods; results include coverage, warnings and exact dataset/profile pins. Reuse an idempotency_key only for an identical calculation

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