What features does PIF MCP server provide?

Q: What features does PIF MCP server provide?

Metacircular evaluation kernel: A lambda-calculus runtime with metacircular evaluation that lets language models modify and analyze tools while maintaining deterministic, fuel-bounded execution.. Quote, Eval, Code Of primitives: Core metaprogramming primitives enabling quoting, dynamic evaluation, and tool introspection; supports introspection of source code via code_of.. Tool registry and evolution: System tools (evolve, run, list, help) manage tool creation, execution, discovery, and documentation; registry remains immutable during evaluation to ensure safety.. Fuel-based termination: All evaluations are bounded by a fuel limit (default 10,000 steps) to guarantee termination and predictability.. Pure evaluation and safety guarantees: Evaluation is pure (no I/O in lambda calculus), with validated execution and an immutable registry to prevent runtime modification.. MCP protocol integration: Implements the MCP for tool discovery and execution, including JSON-RPC flow, environment injection, and encoded results.. End-to-end MCP runtime pipeline: JSON input → Parser → Term → Evaluator → RuntimeValue → Encoder → JSON output, wired for tool-based interactions.. Environment scoping safeguards: Eval cleans the environment (e.g., removes __tool_name and __self) while preserving user variables and keeping tool codes accessible for code_of.

PIF MCP Server 2025: Features & Setup Guide

Overview

MCP-PIF provides a JSON-native, lambda-calculus runtime that acts as an MCP server, letting language models evolve tools through metaprogramming while maintaining deterministic, fuel-bounded execution. It defines three metaprogramming primitives: quote (code-as-data), eval (execute quoted code), and code_of (inspect a tool’s source). Tools are stored in a registry; system tools like evolve, run, list, and help enable discovery and modification, while evolved tools run purely and may interact with each other but cannot modify the registry during evaluation. The framework is designed to be homoiconic yet constrained, and it enforces a strict event horizon: the server’s primitives, parsing strategies, and evolution process cannot be modified at runtime. The MCP integration describes a JSON-RPC flow from client to server, including tool discovery, environment injection, fuel-limited evaluation, and encoding of results. The README also covers safety guarantees (pure evaluation, validated execution, immutable registry) and practical patterns (continuations, self, and code_of usage) that support structured experimentation with metaprogramming.

Features

Metacircular evaluation kernel

A lambda-calculus runtime with metacircular evaluation that lets language models modify and analyze tools while maintaining deterministic, fuel-bounded execution.

Quote, Eval, Code Of primitives

Core metaprogramming primitives enabling quoting, dynamic evaluation, and tool introspection; supports introspection of source code via code_of.

Tool registry and evolution

System tools (evolve, run, list, help) manage tool creation, execution, discovery, and documentation; registry remains immutable during evaluation to ensure safety.

Fuel-based termination

All evaluations are bounded by a fuel limit (default 10,000 steps) to guarantee termination and predictability.

Pure evaluation and safety guarantees

Evaluation is pure (no I/O in lambda calculus), with validated execution and an immutable registry to prevent runtime modification.

MCP protocol integration

Implements the MCP for tool discovery and execution, including JSON-RPC flow, environment injection, and encoded results.

End-to-end MCP runtime pipeline

JSON input → Parser → Term → Evaluator → RuntimeValue → Encoder → JSON output, wired for tool-based interactions.

Environment scoping safeguards

Eval cleans the environment (e.g., removes __tool_name and __self) while preserving user variables and keeping tool codes accessible for code_of.