Anchor Launches Nigeria’s first Fintech MCP Server – Bringing AI-Native API Infrastructure to the Developer Ecosystem
Anchor, a leading African financial infrastructure company, has announced the...
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Anchor, a leading African financial infrastructure company, has announced the launch of the Anchor MCP Server — an implementation of the open Model Context Protocol (MCP) standard that gives AI coding tools real-time, accurate access to Anchor’s full API documentation.<br />
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The launch makes Anchor the first Nigerian fintech and the first on the African continent, to make its API documentation natively readable by AI systems.<br />
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AI coding assistants like Claude, Cursor, Codex, and others, are already writing API integration code for developers. The problem is context. These tools are trained on data that ages. When a developer asks an AI to write code against Anchor’s API, the AI searches its training data for anything that resembles the spec, then generates something plausible. Often, it’s wrong: fabricated endpoints, deprecated authentication patterns, payload fields that don’t exist.<br />
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The output looks clean. It fails in production. And the debugging cycle that follows can cost a developer hours.<br />
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This is not an AI quality problem. It is an infrastructure problem. Nobody built the bridge between AI tools and live, accurate documentation, until now.<br />
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The Anchor MCP Server exposes Anchor’s API documentation as structured, queryable context that AI tools can access in real time. When a developer asks their AI assistant to build an integration, the tool can now query Anchor’s live documentation directly, reading current endpoint specifications, request and response schemas, authentication rules, and product workflow relationships across accounts, transfers, payments, bills, and webhooks.<br />
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The result: accurate code, generated on the first attempt.<br />
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Also the MCP Server operates entirely at the documentation layer, so it does not expose live transactional data or production systems.<br />
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Instead of relying on outdated training data or third-party interpretations, AI assistants can now pull directly from Anchor’s official documentation while generating code or assisting with integrations.<br />
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“API ...
