This repository is the official Model Context Protocol (MCP) reference implementation, containing seven standalone servers (everything, filesystem, memory, sequentialthinking, fetch, git, time) written in TypeScript or Python. These servers demonstrate the full MCP protocol—tools, prompts, resources, transports (stdio, SSE, Streamable HTTP), subscriptions, sampling, elicitation, tasks, and structured content. They are designed as educational examples for developers building their own MCP servers, not as production-ready solutions. The codebase is well-structured with consistent patterns (server factory, transport abstraction, security-focused path validation, atomic file operations, knowledge graph management) and includes extensive test suites. While actively maintained, some Python servers show drift from the latest MCP SDK (v2 API renames in progress), and the Everything server's demo code is tightly coupled to experimental protocol features. The repository also serves as a central hub for the MCP ecosystem via a curated community resource directory (ADDITIONAL.md).
This repository defines the Conversational Finance Governance Framework, an open specification (v0.4) for embedding runtime authority controls into conversational AI agents operating in fintech contexts. It includes a reference implementation (Lite sidecar) that demonstrates the control plane: classifying utterances along Financial Commitment Risk (F0-F3) and Regulatory Sensitivity (R0-R3) axes, binding each turn to an Action Object (inform/advise/commit/transact/represent), applying a decision table (FREE/AUTH/ESCALATE), enforcing classification assurance, issuing scoped credential records, and producing a hash-chained audit trail. The sidecar is a CLI tool that takes a product-line mapping YAML (payments, lending, insurance, collections) and an utterance, then outputs the governance decision as JSON. It does not call an LLM or execute real transactions; it is a control-plane demo. The repository also contains the full specification documents (v0.3 and v0.4), reference mapping files, and a test suite with gold-standard classification fixtures. The architecture is a monolithic CLI with a clean separation between classification, decision logic, and audit logging. The code is well-structured, uses dataclasses, and includes a reusable hash-chained audit log component. The last commit date (2026-09-09) appears to be in the future relative to the current date, which is anomalous but taken at face value indicates active maintenance.