AXON is a compiled language and native runtime for LLM-oriented programs, with a lexer, parser, AST/IR, semantic type checking, and seven built-in LLM backends. It also provides real-time SSE/NDJSON/WebSocket streaming, a typed HTTP server, and compile-time compliance and infrastructure primitives.
From the registry: Official ℰMCP server for AXON — exposes 45 primitives, 33 templates, 17 examples to AI agents.
$ cd axon-rs && cargo build --releasePlease install the `axon-emcp` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Install or build the AXON runtime** — The README says the canonical implementation is the native Rust + C23 runtime. Build it from the repository by entering the axon-rs directory and compiling in release mode. Run: `cd axon-rs && cargo build --release`
Optional prerequisites:
- Optional PostgreSQL setup — PostgreSQL persistence is optional. If DATABASE_URL is unset, the server falls back to in-memory storage for development.
Canonical MCP server config (HTTP transport):
- url: `http://<your-host>:<your-port>/v1/mcp`
Note: The README exposes MCP over an HTTP JSON-RPC 2.0 endpoint at /v1/mcp after starting the AXON server. Example server startup from the README: cargo run --release -- --port 3000. Optional runtime flags shown include --log-format json, --log-file <your-log-dir>, and --database-url <your-database-url>. Relevant environment variable from the README: DATABASE_URL (optional, enables PostgreSQL persistence instead of in-memory storage). No client-side auth headers for the MCP endpoint are documented in the README.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
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