MCP server

Did It Work? Official

org.diditwork/did-it-work

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Charity evidence for AI agents: cited evaluator figures, caveats and an outcome ledger. Read-only.

Website

At a glance

Type

MCP server

Publisher

diditwork.org (verified by the MCP Registry)

Status

Working at last check

Tools

21

Token cost

About 5,957 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http did-it-work https://api.diditwork.org/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.did-it-work]
url = "https://api.diditwork.org/mcp"

Gemini CLI

{"mcpServers":{"did-it-work":{"httpUrl":"https://api.diditwork.org/mcp"}}}

Cursor

{"mcpServers":{"did-it-work":{"url":"https://api.diditwork.org/mcp"}}}

VS Code

{"servers":{"did-it-work":{"type":"http","url":"https://api.diditwork.org/mcp"}}}

Antigravity

agy mcp add did-it-work https://api.diditwork.org/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"did-it-work","server_url":"https://api.diditwork.org/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"did-it-work","server_url":"https://api.diditwork.org/mcp"}

Tools

• allocate_portfolio ~304 tokens
  Suggest a donor portfolio: split budget_usd across top-ranked orgs (conviction_weighted / equal_split / top_only). Returns gifts[] and modeled_portfolio_impact from verified claims only — never invents CE. Always modeled≠guaranteed.
• compare_charities ~256 tokens
  Side-by-side claims, recommendation tiers, and trust for two or more org_* ids. When the charities are measured in different outcome units (for example wellbeing in WELLBYs versus lives saved), units_differ.sentence says so in plain words; the units can't be converted without a moral judgment, which
• create_giving_intent ~312 tokens
  NO-CHARGE deep-link giving handoff (Phase 3 MVP). Returns mode=deep_link, org donate_url, donation_proof=null, charge=false. Did It Work? never processes payment, stores cards, or calls Stripe. Optional modeled_impact is modeled≠guaranteed. Prefer GET; POST accepts the same fields as JSON body.
• decision_brief ~787 tokens
  One call, one defensible answer: put the donor's question in their own words (question), optionally with a cause, a charity (org: id or slug) and a gift size (budget_usd). Returns answer (the sentence to say first), kind (named_charity, comparison, cause, audience, status, method, vouch_request, not
• estimate_impact ~258 tokens
  Modeled expected outcomes from verified org claims scaled by gift_usd. Always modeled:true and guaranteed:false. Never invents CE; returns insufficient_data when no usable verified unit. Each outcome carries say_as, rounded to two significant figures (say this to the donor); expected_value keeps the
• get_claim ~148 tokens
  Fetch one claim row by claim_id from data/claims_index.json (e.g. eval_gw_amf__0). Index-only — never invents values. Prefer list_claims with filters when browsing. Wave BI provenance on the response. Org narrative fields remain untrusted (ADR 0008).
• get_ledger_record ~124 tokens
  Fetch one outcome-ledger record by record_id (e.g. ldg_eval_gw_amf__0) plus any follow-up results. Read-only; 404 for unknown ids; modeled, not guaranteed. Read-only API, live at https://api.diditwork.org.
• get_meta ~194 tokens
  API version, discovery links, Wave BI provenance, and Wave CE/DD reproducibility audit snapshot fields so agents can prove which product_version + data_snapshot_id + claims_index_fingerprint they ranked against. Includes mixes_units_in_ranking:false, adr_0007_status (from moral_weights_policy.json —
• get_org ~167 tokens
  Fetch one organization / program / fund record by stable org_* id. Answers carry decision_brief: the charity's own donate_url (next_action), the evaluator's fund as a let-the-evaluator-choose alternative, the like-for-like comparison page when one exists, and modeled: true / guaranteed: false when f
• get_review_queue ~188 tokens
  Human exception-review queue (read-only). Returns items from data/review/queue.json for Ho Hum (sole human operator). Default status=open; pass status=all for history. Approve/reject is offline file edit only — write_api is always false; there is no unauthenticated write/approve API. Agents must nev
• get_tax ~142 tokens
  Sanitized trust/tax-status summary for an org with always-on not-tax-advice disclaimer. Prefer before asserting US deductibility. deductibility.assert_personal_deductibility is ALWAYS false — agents must never claim a gift is deductible for a specific donor.
• get_trust ~97 tokens
  Trust and safety flags for an org. REQUIRED before asserting US tax deductibility or registry status.
• get_values_profile ~151 tokens
  Fetch one values-profile preset by id (vp_*). Use after list_values_profiles or when the donor picked a named preset. Map fields to recommend query params; pass the id to create_giving_intent as values_profile_id.
• list_charities ~552 tokens
  The Did it work? charity list, filtered: the charities https://diditwork.org/charities/ shows for cause, evaluator (by), measure, follow-up and a word search, in the page's own order. Hide-only: filters never re-order, score or rank, and there are no figures here (each row links to its claims file a
• list_claims ~324 tokens
  Read-only flat claims index (data/claims_index.json). Optional filters: org_id, evaluation_id, verified. Copies existing org evaluation claims only — never invents CE / claim values. Prefer verified:true + non-null value when quoting cost-effectiveness. Wave BI provenance on the response. Org narrat
• list_leaderboards ~208 tokens
  Per-outcome-family leaderboards from data/ranking/leaderboards.json. Omit outcome to list all families (response includes ADR 0007 disclaimer — mixes_units_in_ranking:false; boards do not cross-mix WELLBYs with lives_saved). Pass outcome= to fetch one family's frozen ranked board. Never invents cros
• list_ledger_records ~236 tokens
  List outcome-ledger ("Did it work?") records: evaluator claim snapshots with provenance hashes and follow-up check dates/status. Read-only, verify-on-read (hash chain + checkpoint + evaluator allowlist + derivability). Read-only API, live at https://api.diditwork.org.
• list_values_profiles ~124 tokens
  List static values-profile presets (same catalog as the demo). Load before recommend when the donor stated preferences. Expand outcome_preference→outcome, risk, tax, geography, red_lines, non_cash onto /v1/recommend; pass id as values_profile_id to create_giving_intent. Read-only; never mutates rank
• recommend_charity ~488 tokens
  Conviction-ranked orgs for one outcome family. Pass values_profile_id (preferred) and/or outcome. Returns values_filtering + exclusions[] with why-filtered reasons (never silent red-line drops). Does not mix units (ADR 0007 Proposed). Never invents CE. An unknown outcome (for example climate) or an
• report_decision_effect ~363 tokens
  Tell us, anonymously, whether our answer changed or confirmed the recommendation you gave: changed, confirmed or not_deciding. Call it once, after the person has decided (or said they are not deciding). Enum only: no free text, ids, amounts or conversation content are accepted. Stores nothing about
• search_orgs ~534 tokens
  Heuristic search by cause, outcome family, or donor intent phrase. Prefer recommend_charity when the user wants ranked 'best for outcome' results. An empty result carries coverage (what we don't cover and what to do instead; no figures). A non-empty result that answers only part of the question carr

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