mcp server
MVR API - Minimum Viable Relationships
Read-only MVR preflight for trust, permission, evidence gaps, and African market-entry readiness.
Description as published by the maintainer. Source
- version 6.32.6
- active
active — Most recent push to the repository was 2026-08-05.
What this server can do
5 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
mvr_context_compile(payload)- Use 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. Required: payload.
mvr_decision_check(payload)- Use 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. Required: payload.
mvr_entity_resolve(payload)- Use 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. Required: payload.
mvr_evidence_completeness(payload)- Use 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. Required: payload.
mvr_first_call(stage, entity, sector, country, question, use_case, company_name, target_users, evidence_pack, evidence_items, known_partners, evidence_available)- Use 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.
Last successful function declaration observed on . Source: https://africanmarketos.com/mcp/preflight. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://africanmarketos.com/mcp/preflight.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 0 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-08-05 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 0 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 6.32.6 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-07-29 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| First listed in the MCP Registry | 2026-07-29 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub | |
| mcp tools declared | 5 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | africanmarketos.com | |
| mcp endpoint status | ok | The server listed 5 functions when asked. | as of probe | africanmarketos.com |
Where to get it
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These share tags the maintainers applied themselves, such as llms-txt, openapi. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
How the author describes it
Topics the maintainer set on GitHub: africa, ai-agents, emerging-markets, llms-txt, market-entry, mcp, mcp-server, minimum-viable-relationships, model-context-protocol, openapi, permission-to-operate, relational-readiness.
This record as data
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