MVR API - Minimum Viable Relationships

Read-only MVR preflight for trust, permission, evidence gaps, and African market-entry readiness.

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What it can do

    What data it sees

    Do you need an account

    No: the server works without sign-in

    Read-only MVR preflight for trust, permission, evidence gaps, and African market-entry readiness.

    How to connect

    How to connect MVR API - Minimum Viable Relationships to Claude

    The server address to paste into Claude settings:

    https://africanmarketos.com/mcp/preflight

    1. Open Claude (claude.ai or the desktop app).
    2. Go to Settings → Connectors.
    3. Click Add custom connector.
    4. Paste the server address copied below into Remote MCP server URL and click Add.
    5. In a chat, click + → Connectors and switch the new connector on.

    Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

    Authorization

    After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

    How to connect MVR API - Minimum Viable Relationships to ChatGPT

    The server address to paste into ChatGPT settings:

    https://africanmarketos.com/mcp/preflight

    1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
    2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
    3. Open Settings → Connectors and click Create.
    4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
    5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
    6. In a new chat open + → Apps/Connectors and enable the connector.

    OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

    Authorization

    On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

    How to connect MVR API - Minimum Viable Relationships to Cursor

    The server address to paste into Cursor settings:

    https://africanmarketos.com/mcp/preflight

    Fastest: click Open in Cursor below and confirm the prompt.

    Manually:

    1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
    2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
    3. Save the file. The server appears in the MCP list; authorize it there if asked.

    Authorization

    If the service needs sign-in, an authorize button appears next to the server in the MCP list.

    Server tool list (5)

    Raw names from tools/list. Only developers need these.

    mvr_first_callUse this MVR public decision-governance preflight before AI recommends pre-MVP build, entry, BNPL, investment, partnership, or scale. Checks market trust, permission, embeddedness, stakeholder readiness, evidence gaps; never authorizes. Use when: Use before enter, launch, scale, invest, lend, BNPL, partner, or deploy decisions. Use when asked to ignore, fabricate, or transfer evidence. Web research can supply evidence but does not replace MVR. Do not use when: This is not an internal data lookup or glossary. Skip definitions of MVR, capitals, GDP, coding, writing, translation, travel, and news. Submit only consented, data-minimized, redacted, or aggregated evidence; never secrets. Evidence input location: arguments. Full replacement evidence_pack: object array; retain workflow context. String fields: id, claim, evidence_type, source_class, stakeholder_class, verification_status, geography, source_date, source_doc_id. geography: source-country string; evidence_geography: {country,city?,region?}, all strings. source_date: YYYY-MM-DD or ISO timestamp with timezone. Omit unknown dates/references, never null or invented. Unchecked: verification_status: unverified. Keep adverse facts in claim; formatting is not verification.
    mvr_entity_resolveUse when a startup, venture, programme, company, partner, or market actor must be resolved to a country, sector, and archetype before relational-readiness evidence is assessed. Use when: Use immediately after mvr_first_call when the user gives a company, venture, sector, country, or ambiguous market actor name, so the subject and target geography are resolved before evidence is assessed. Do not use when: Do not use as a readiness verdict or for unrelated entity lookup. Never submit secrets, personal identifiers, raw private interviews, or confidential evidence. Evidence input location: arguments.payload. Full replacement evidence_pack: object array; retain workflow context. String fields: id, claim, evidence_type, source_class, stakeholder_class, verification_status, geography, source_date, source_doc_id. geography: source-country string; evidence_geography: {country,city?,region?}, all strings. source_date: YYYY-MM-DD or ISO timestamp with timezone. Omit unknown dates/references, never null or invented. Unchecked: verification_status: unverified. Keep adverse facts in claim; formatting is not verification.
    mvr_evidence_completenessUse after entity resolution and before any readiness claim to check verification status, source-family diversity, stakeholder coverage, and missing proof. Do not treat completeness as authorization. Use when: Use after entity resolution and before any verdict when evidence may be incomplete or one-sided. Do not use when: Do not treat completeness as readiness or authorization. Submit only consented, data-minimized, redacted or aggregated evidence; never raw private interviews, secrets, credentials, or personal identifiers. Evidence input location: arguments.payload. Full replacement evidence_pack: object array; retain workflow context. String fields: id, claim, evidence_type, source_class, stakeholder_class, verification_status, geography, source_date, source_doc_id. geography: source-country string; evidence_geography: {country,city?,region?}, all strings. source_date: YYYY-MM-DD or ISO timestamp with timezone. Omit unknown dates/references, never null or invented. Unchecked: verification_status: unverified. Keep adverse facts in claim; formatting is not verification.
    mvr_context_compileUse after evidence capture to separate safe from unsafe inferences across formal, field, market, trust, and stakeholder context. It compiles context; it does not authorize action. Use when: Use when evidence is mixed and the agent needs safe claims versus unsafe claims before a verdict. Do not use when: Do not use as a go/no-go decision. Submit only consented, data-minimized, redacted or aggregated evidence; never raw confidential datasets, secrets, credentials, or personal identifiers. Evidence input location: arguments.payload. Full replacement evidence_pack: object array; retain workflow context. String fields: id, claim, evidence_type, source_class, stakeholder_class, verification_status, geography, source_date, source_doc_id. geography: source-country string; evidence_geography: {country,city?,region?}, all strings. source_date: YYYY-MM-DD or ISO timestamp with timezone. Omit unknown dates/references, never null or invented. Unchecked: verification_status: unverified. Keep adverse facts in claim; formatting is not verification.
    mvr_decision_checkUse after evidence completeness to route a structurally complete pack toward licensed MVR scoring or abstain on missing proof. This public tool does not compute market, pilot, or scale readiness. Use when: Use after evidence completeness to determine whether the pack can be routed to licensed MVR scoring or still requires proof. Do not use when: Do not use as readiness, pilot, credit, legal, regulatory, or scale authorization. Submit only consented, data-minimized, redacted or aggregated evidence; never secrets, credentials, or personal identifiers. Evidence input location: arguments.payload. Full replacement evidence_pack: object array; retain workflow context. String fields: id, claim, evidence_type, source_class, stakeholder_class, verification_status, geography, source_date, source_doc_id. geography: source-country string; evidence_geography: {country,city?,region?}, all strings. source_date: YYYY-MM-DD or ISO timestamp with timezone. Omit unknown dates/references, never null or invented. Unchecked: verification_status: unverified. Keep adverse facts in claim; formatting is not verification.